The fractional CFO model provides executive financial guidance at the same level as a full-time CFO but at a lower cost than hiring a complete executive. Growth-stage businesses that experience fast expansion and fundraising challenges and operational complexities will find this service to be their most valuable asset.

The following article explains how an outsourced CFO delivers essential benefits to companies undergoing growth and demonstrates why this service works best for expanding businesses and how it stacks up against alternative financial assistance options.

1. Your business gains access to executive financial expertise through outsourced CFO services which operate at a lower cost than hiring a full-time CFO.

The cost of employing a full-time CFO exceeds what most growth-stage companies can afford to pay. The compensation packages needed for this position exceed what most developing businesses can afford to spend. The cost of hiring an outsourced CFO service enables you to obtain senior-level financial expertise at reduced rates.

Your financial strategy receives personalized attention through this service which helps you handle cash flow management and budget creation and high-pressure decision-making.

Our Outsourced CFO Services offer flexible pricing that matches your business growth needs.

2. Strategic Cash Flow and Budgeting Support

A growing business faces destruction from inadequate cash flow management. A company with successful sales performance will experience financial difficulties because of inadequate cash management systems.

An outsourced CFO will ensure that:

• The system generates cash flow projections which help prevent financial insufficiencies.
• The system generates financial plans that support business expansion goals.
• The system enables users to create models for evaluating potential major investment outcomes.
• The system generates proactive methods to sustain financial liquidity.

Your organization will stay ahead of challenges because of the financial clarity you achieve through this system.

3. Support for Fundraising and Investor Relations

A CFO-level professional who joins your team during capital-raising or investor meetings will instantly boost your company’s credibility. Here are a few ways they can help:

• Creating financial models for investor attraction.
• Developing pitch decks that contain precise financial projections.
• Answering all financial questions which arise during due diligence procedures.
• Developing trust with stakeholders through the transparent financial information.

Founders who lack finance expertise will find this professional guidance essential to obtain funding or risk losing their investment opportunity.

4. Improved Financial Reporting and Compliance

The financial reporting process of growth-stage businesses faces difficulties because they struggle to achieve both accuracy and timely delivery of their reports. Leaders who lack access to clear financial data must operate without essential information to guide their choices.

The reporting process becomes more efficient through outsourced CFO services which deliver:

• Dependable monthly financial reports.
• Oversight to follow all requirements of GAAP.
• Adaptable reporting tools which adapt to your business expansion.
• Evaluation of performance through comparison with industry benchmarks.

The combination of Fractional Controller Services with financial oversight provides your organization with both precise financial data and efficient daily financial management.

5. Guidance on Mergers, Acquisitions, and Exit Strategy

Most growth-stage businesses face a decision point when they evaluate acquisition opportunities and merger possibilities and prepare for their exit strategy. These critical business events need financial expertise at an expert level.

An outsourced CFO ensures:

• The acquisition process receives support from the CFO during due diligence activities.
• The organization develops strategies for post-merger integration.
• The analysis of company value helps you achieve the best possible exit results.
• Advisors work to develop effective deal structures.

The combination of professional M&A Advisory with outsourced CFO guidance protects your company while creating conditions for enduring success.

6. Scalability and Flexibility

An outsourced CFO provides services that adapt to your company’s changing requirements because they do not require a permanent full-time commitment. Your financial needs change between months so you require extensive financial modeling and strategic planning during some periods but only basic oversight during others.

The ability to adapt proves essential for growth-stage businesses because their requirements transform rapidly. Your business can expand its CFO services without needing to change your leadership structure at each growth milestone.

7. Objective and Unbiased Financial Perspective

The deep business commitment of founders and leaders creates financial decision-making challenges because it leads to biased choices. The outside CFO brings unbiased financial expertise that helps organizations achieve risk management and maximize their business potential.

The outside perspective becomes essential when making major business decisions including:

• Entering a new market
• Expanding operations
• Acquiring another business
• Strategic changes become necessary when market conditions evolve.

An outsourced CFO bases your business decisions on factual data and financial information which prevents optimistic choices.

The financial services of an outsourced CFO operate as a single system because they work with other accounting and financial support teams to create a complete financial framework.

The combination of CFO services with eCommerce Accounting Services delivers both strategic financial oversight and daily financial management capabilities. The financial processes from bookkeeping to forecasting operate as a unified system to support business expansion.

Business leaders experience the most significant advantage through the peace of mind that an outsourced CFO provides.

The most significant advantage of hiring an outsourced CFO is the peace of mind they provide to business leaders. The CEO and founder must handle numerous responsibilities at once. Your financial numbers receive expert monitoring through an outsourced CFO which enables you to concentrate on developing your business strategy and company culture and growth initiatives.

Our clients frequently mention the peace of mind they experience as one of their top advantages when working with Fully Accountable. Our Reviews section contains authentic testimonials from business owners who have used our services.

An Outsourced CFO provides the right solution for companies at their growth stage.

Your business needs an outsourced CFO when it experiences fast growth and seeks new business opportunities and faces complicated financial choices. Your business will receive financial leadership and investor credibility and scaling capabilities through our services without requiring a permanent executive position.

Our team at Fully Accountable delivers customized outsourced CFO services to businesses that are in their growth stage. Our team has assisted numerous businesses to achieve financial clarity through strategic plans which generate enduring business success.

The pricing information can be found on our pricing page. You can find our pricing details on the pricing page.

Your organization needs a strategic financial direction to achieve better growth.

The financial expertise of an outsourced CFO provides growth-stage companies with more than cost savings because it enables their success. Your business will receive both precise financial data and strategic guidance which enables you to make decisions with confidence when you work with the right partner.

Your company needs an experienced outsourced CFO team to advance its growth trajectory. The right financial leadership will transform your business into an industry-leading organization.

The post 7 Key Benefits of Hiring an Outsourced CFO for Growth-Stage Companies appeared first on Fully Accountable.

But what exactly does a fractional controller do during an internal audit? From identifying inefficiencies to improving financial processes, they play a pivotal role in helping businesses achieve clarity, compliance, and growth. In this post, we’ll break down their responsibilities and share why partnering with a fractional controller, like one from Fully Accountable, can be a game-changer.

Why Internal Audits Are Essential 

Before we dive into the role of a fractional controller, it’s important to understand why internal audits matter, especially for e-commerce and digital businesses. 

Key Benefits of Internal Audits:

1. Regulatory Compliance: They ensure your business complies with tax laws and financial reporting standards. 
2. Fraud Detection: Audits catch discrepancies or suspicious activity early before they escalate into larger problems. 
3. Process Optimization: They uncover inefficiencies in your financial workflows, helping streamline operations. 
4. Investor Confidence: A clean financial record boosts credibility with investors and lenders. 

While internal audits can reveal opportunities for improvement, they’re also incredibly detailed and resource-intensive. That’s why bringing in a fractional controller makes sense—they provide the expertise to guide you through the process efficiently and accurately. 

The Role of a Fractional Controller in Internal Audits 

Fractional controllers come equipped with deep financial knowledge and the ability to tackle complex tasks, without the need for a full-time hire. Here’s how they add value during an internal audit process.

1. Ensuring Compliance 

The biggest priority during any internal audit is ensuring compliance with financial regulations and tax laws. Fractional controllers have a strong grasp of these requirements and help companies stay on track.

How They Help:

• Review financial statements and reporting to ensure they align with GAAP (Generally Accepted Accounting Principles). 
• Verify tax filings for accuracy and confirm adherence to state and federal regulations. 
• Identify areas where your financial processes may fall short of compliance standards. 

Example: For an e-commerce company selling nationwide, a fractional controller could flag underreported sales tax liabilities in states where the company has established nexus, ensuring compliance before external auditors step in.

2. Identifying Inefficiencies

Efficient financial operations save resources and reduce long-term costs. A fractional controller brings an outsider’s perspective, spotting inefficiencies that may go unnoticed by internal teams.

Areas They Focus On:

• Operational Inefficiencies: Finding redundancies in expense tracking or reconciliation processes. 
• Technology Gaps: Identifying outdated accounting systems that slow down audits or lead to errors. 
• Mistakes in Reporting: Catching and correcting inconsistencies in your financial data.

Example: An e-commerce store using manual spreadsheets to track marketplace sales might receive recommendations from their fractional controller to integrate tools like QuickBooks or NetSuite, saving hours of weekly labor.

3. Strengthening Internal Controls 

Internal controls are vital for safeguarding your business against fraud or costly errors. During an audit, a fractional controller evaluates existing systems and recommends improvements.

How They Contribute:

• Assess current controls to detect gaps, such as lack of segregation of duties or weak approval processes. 
• Implement robust procedures, such as automated approval systems for large transactions. 
• Train team members on best practices for preventing fraud and maintaining accurate records.

Example: A fractional controller might set up step-by-step invoice approval workflows for an e-commerce team, ensuring no single person can create, approve, and issue vendor payments.

4. Improving Financial Processes 

Fractional controllers don’t just ensure compliance—they help your business achieve better financial health by optimizing processes.

Key Improvements They Drive:

• Streamlining Close Cycles: Shortening the time it takes to close monthly financials with efficient workflows. 
• Implementing Automation: Recommending tools that automate reporting, reconciliation, or payroll management. 
• Standardizing Reporting: Ensuring accurate and consistent reporting across departments or platforms. 

Example: For a growing digital subscription business, a fractional controller might automate subscription revenue forecasting using tools like Stripe and data dashboards, providing clarity ahead of the audit. 

5. Preparing for Auditor Questions 

Navigating audit requests and questions can be overwhelming, especially if your team isn’t prepared. A fractional controller anticipates these needs, ensuring smoother communication and faster responses during the audit.

How They Assist:

• Create detailed documentation for auditors, such as organized expense reports or vendor contracts. 
• Prepare your in-house team to handle common auditor questions without delays. 
• Serve as a point of contact between your business and the audit team.

Example: An outsourced warehouse dropship business that manages inventory across platforms like Shopify and Amazon could rely on a fractional controller to reconcile product sourcing data, ensuring every expense is accounted for before auditors request it.

6. Delivering Insights Beyond the Audit 

Once the audit is complete, a fractional controller doesn’t stop working. They deliver actionable insights to drive improvements across the business, ensuring long-term value from the process.

Post-Audit Contributions:

• Summarizing key findings and prioritizing recommended updates. 
• Supporting ongoing compliance through regular reviews. 
• Providing strategic financial advice to prepare for future audits.

Example: After conducting an internal audit, a fractional controller might develop an annual compliance plan for an e-commerce business scaling into new states, ensuring readiness for tax season. 

Fully Accountable’s Fractional Financial Services 

At Fully Accountable, we know that e-commerce and digital businesses face unique challenges when it comes to managing finances, and internal audits are no exception. That’s why we offer fractional financial services tailored specifically to your needs.

Benefits of Working with Fully Accountable:

• Expertise in E-Commerce: We work exclusively with U.S.-based e-commerce and digital businesses, so we understand the nuances of your operations. 
• Scalable Solutions: Whether you need help during a one-off audit or ongoing financial support, our flexible services adapt to your goals. 
• Enhanced Efficiency: From compliance to reporting, our fractional controllers bring efficiency and expertise to every financial process. 

With Fully Accountable, you get peace of mind knowing your financial health is in expert hands, so you can focus on growing your business. 

Let’s Talk 

Internal audits don’t have to be a source of stress. With the right fractional controller, your business can turn the audit process into an opportunity for growth and optimization. From improving financial processes to ensuring compliance, their expertise ensures you’re prepared for every step of the audit and beyond.

Looking for help with your next internal audit or financial challenges? Contact Fully Accountable today to learn how our fractional financial services can set your e-commerce or digital business up for success.

The post What Does a Fractional Controller Do During an Internal Audit? appeared first on Fully Accountable.

Securing investor confidence requires a deep understanding of your company’s financial health. Accurate, insightful financial reporting plays an essential role in attracting and convincing investors that your business is a sound, profitable opportunity. 

For many companies, particularly in the e-commerce and digital sectors, balancing growth ambitions with the need for precise financial reporting can feel overwhelming. 

This is where fractional controllers step in. These financial experts provide high-quality, investor-ready reporting that goes beyond basic bookkeeping, painting a clear picture of your profitability, growth potential, and operational efficiency. 

This article explores how fractional controllers specialize in the kind of financial reporting that makes businesses investor-ready. Learn how they boost transparency, trust, and success in funding rounds.

Why Financial Reporting Matters for Investors 

Investors don’t just bankroll ideas; they invest in businesses that demonstrate financial stability, profitability, and growth potential. Precision in your financial reports serves as a tool not only to showcase your company’s current performance but also to provide a roadmap of its future potential.

What Investors Look for in Financial Reports 

Before writing checks, investors scrutinize financial reports for several key metrics. Among these, the following tend to stand out:

1. Cash Flow Statements 

  Cash flow statements illustrate how cash moves in and out of your business, providing clarity on liquidity and operational health.

1. Profit Margins 

  A company’s gross, operating, and net profit margins reflect its financial efficiency and ability to generate returns from revenue.

1. Growth Forecasts and Trends 

  Projections grounded in current and historical data signal your company’s future potential and scalability.

1. Operational Efficiency Reports 

  Investors look for signs that your business is not only generating revenue but doing so efficiently, avoiding waste or high operational costs.

1. Debt-to-Equity Ratios 

  This metric offers a snapshot of your business’s financial leverage, helping investors understand your balance of borrowed funding versus owner investment.

The Impact of High-Quality Reporting 

Accurate and transparent financial reports establish credibility with investors. Reports riddled with errors or missing cohesion can be a major red flag, signaling poor financial management or lack of preparedness. Superb reporting, on the other hand, inspires trust, accelerates decision-making, and can significantly increase your valuation.

What Fractional Controllers Bring to the Table 

Fractional controllers are outsourced financial professionals who offer expert-level financial management without requiring a full-time hire. This flexibility benefits growing businesses, particularly e-commerce and digital firms, by providing high-quality financial oversight and reporting at a fraction of the cost. 

Here’s how fractional controllers can help create investor-ready financial reports:

1. Strategic Insights Beyond Basic Bookkeeping 

Unlike traditional accounting, fractional controllers craft reports that tell the story of your business. They interpret numbers, transforming data into actionable insights about profitability, growth strategies, and performance benchmarks. 

For example, instead of merely reporting revenue, a fractional controller could analyze customer acquisition costs (CAC) and customer lifetime value (CLV), establishing how profitable growth truly is.

2. Customized Reporting for Investor Needs 

Investors care about specific metrics, such as recurring revenue rates in subscription businesses or inventory turnover for e-commerce. Fractional controllers customize reporting to emphasize these metrics, ensuring your financial documents highlight the aspects of your business that matter most to potential investors. 

3. Forward-Looking Financial Models 

Creating growth projections that investors can believe in demands an intricate understanding of your business model. Fractional controllers use analytics and market data to build financial forecasts that reflect not only where your business is but where it can go with the right backing.

4. Operational Efficiency Analysis 

Fractional controllers excel at illuminating areas where you can maximize efficiency. For instance, they might identify fixed costs that can be optimized or variable expenses that should be renegotiated, ensuring you present a lean and scalable operation to prospective investors.

5. Audit-Quality Reporting and Accuracy 

Fractional controllers ensure every document stands up to scrutiny, offering audit-ready reports that align with Generally Accepted Accounting Principles (GAAP). This caliber of reliability is crucial to demonstrating the robustness of your financial management.

Key Financial Reports and Metrics That Attract Investors 

Investors rely on specific reports to make informed decisions. Fractional controllers can produce investor-grade versions of the following crucial documents:

Cash Flow Statement 

Investors need assurance that your business can maintain financial stability, even in challenging times. Cash flow statements highlight how effectively you manage incoming and outgoing cash, keeping the wheels of business turning smoothly. 

Income Statement 

Also known as the profit-and-loss (P&L) statement, this document reveals revenue, expenses, and net income over a set period, underscoring profitability and cost management. 

Balance Sheet 

A snapshot of company assets, liabilities, and ownership equity, a balance sheet gives insight into the financial structure of your business. 

Key Performance Indicator (KPI) Reports 

Highlighting metrics such as gross margin, churn rate, and average order value (AOV) provides deeper insight into operational and financial performance. 

Forecasts and Projections 

Both revenue forecasts and expenditure projections demonstrate how your business will perform with additional funding—an investor prerequisite. 

How Fully Accountable’s Fractional Controllers Support Investor-Readiness 

Building financial reports and forecasts that can withstand investor scrutiny is a meticulous task. But it’s one that Fully Accountable’s fractional controllers excel at. 

Our team specializes in offering tailored financial services for e-commerce, digital, and other growth-focused businesses. Here’s how we can help:

• Customized Investor Reporting: We align your reports with what potential investors value most, ensuring your financial documents make a compelling case. 
• Growth Forecasting Expertise: Using advanced analytics, we help you map out realistic yet enticing growth scenarios investors can trust. 
• Profitability Optimization: By analyzing metrics like profit margins, CAC, and CLV, we deliver actionable insights to increase efficiency and profitability. 
• Scalability Solutions: We identify operational bottlenecks and financial opportunities to ensure your business exudes scalability and investment appeal. 

Make Your Business Irresistable

If you’re ready to elevate your financial reporting and make your business irresistible to investors, Fully Accountable is here to help. Our fractional controllers work as your partner, providing expert-level financial insights and reporting to position your company for growth and funding success. 

Take the next step in securing investor trust. Contact Fully Accountable today to learn how we can transform your financial management and make your business investment-ready!

The post Using Financial Reporting from Fractional Controllers to Attract Investors appeared first on Fully Accountable.

However, integrating accounting software tailored for e-commerce can streamline these processes, save time, and reduce expenses.

View our e-commerce accounting services page to learn how we provide executive-level financial strategy and insights at a fraction of the cost.

Here’s a closer look at how accounting software integration delivers significant benefits to e-commerce businesses.

1. Automates Manual Accounting Tasks 

One of the most significant advantages of accounting software integration is automation. Tasks that would take hours, such as tracking transactions, reconciling accounts, and processing invoices, can now be handled automatically. 

Benefits of Automation:

• Speeds up repetitive tasks such as tax calculations.
• Reduces human errors associated with manual data entry. 
• Frees up your time for strategic growth activities like marketing and inventory planning.

Example: Instead of manually inputting each sale into your accounting system, platforms like QuickBooks or Xero can sync directly with your e-commerce store, automatically pulling data from your transactions. 

2. Minimizes Costly Accounting Errors 

Mistakes in your numbers can lead to larger and more expensive problems, like compliance penalties or revenue miscalculations. Integrating accounting software helps reduce these risks. 

How It Helps:

• Automatically calculates taxes for each sale, even across states with different tax rules. 
• Identifies discrepancies in your financial statements early. 
• Alerts you to missed payments or overdue invoices.

Stat: Small businesses lose an average of 5% of revenue annually to accounting errors. Automation ensures your numbers stay accurate, helping you retain your hard-earned profits. 

3. Improves Financial Reporting and Insights 

The right accounting software doesn’t just track numbers—it provides rich insights to guide your decisions. Integration enables e-commerce owners to analyze performance, spot opportunities, and forecast accurately. 

Key Features:

• Real-Time Dashboards provide up-to-date views of sales, expenses, and profit margins. 
• Customizable Reports allow you to see which products or customer segments are contributing the most to revenue. 
• Forecasting Tools prepare you for seasonal changes in demand, ensuring you’re ready for peak shopping months.

Scenario: Imagine being able to identify your most profitable product categories and double down on marketing during the holiday season. Integrated software makes this data actionable.

4. Simplifies Multi-Channel Sales Management 

Selling products across platforms like Shopify, Amazon, and eBay is great for reaching more customers, but it complicates accounting. Integrating software bridges the gap between these channels and your financial system. 

Benefits:

• Consolidates sales data from all channels into one central accounting system. 
• Handles differences in payment fees and tax rules for each platform. 
• Tracks inventory sales in real time to avoid overselling or new stock delays.

Tip: Software integrations with plugins or APIs can directly connect platforms like WooCommerce with tools such as Xero, making multi-channel selling hassle-free.

5. Keeps Your Business Tax-Compliant 

E-commerce businesses must handle complex tax requirements, from state-specific sales taxes to international duties. Accounting software eliminates the guesswork. 

Tax Solutions:

• Calculates accurate taxes automatically for each jurisdiction. 
• Tracks and stores tax data, making quarterly and annual filings faster. 
• Integrates with tax compliance tools like Avalara to simplify multi-state operations.

Real Impact: Business owners who automate tax compliance can save hours, avoiding the stress of last-minute scrambles or audit risks.

6. Reduces Long-Term Financial Management Costs 

While hiring a professional accountant remains valuable, integrating software ensures they spend less time on routine tasks and more time adding strategic value to your business. 

Cost-Saving Benefits:

• Software platforms are often far more affordable than hiring full-time accounting staff. 
• Reduces reliance on external bookkeepers by automating records. 
• Prevents costly penalties associated with incorrect filings or unmanaged accounts.

Investing in software integration yields long-term cost reductions as your business grows, letting you allocate resources to marketing or new products. 

7. Enhances Operational Efficiency for Scalability 

Growth is the goal of any e-commerce business, but scaling can overwhelm manual processes. A streamlined software setup ensures your accounting system grows with you.

Nmap:

Running an online business or managing IT infrastructure is exciting, but it also brings serious cybersecurity and network visibility challenges. From monitoring open ports to identifying vulnerable devices and managing access points, network security can quickly become overwhelming without the right tools.

That’s where Nmap comes in — a powerful open-source network scanning tool designed to give IT professionals and security teams a clear view of their networks. By integrating Nmap into your workflow, you can detect unauthorized devices, discover potential threats, and ensure that your systems are properly configured and secured.

Whether you’re overseeing a small e-commerce setup or a large enterprise network, Nmap can help you automate scans, generate detailed reports, and maintain control over your IT environment.

Visit our tools page for an Nmap download and see how this essential utility can simplify network diagnostics and improve your cybersecurity posture. Discover the benefits of proactive network scanning and take the first step toward a more secure infrastructure.

Growth-Driven Features:

• Scalable functionality supports higher transaction volumes or international expansion. 
• Streamlined operations free up your bandwidth to launch new product lines or campaigns. 
• Integrations with payment processors, CRMs, and inventory management tools allow for seamless coordination across departments.

Example: Small businesses that integrate accounting software often find they can handle larger order volumes during seasonal peaks without additional staffing.

8. Provides Seamless Payment Processing 

Payment gateways are the backbone of e-commerce, but manually recording every transaction from platforms like Stripe, PayPal, or Square is time-consuming. Integration with accounting software solves this problem.

Key Advantages:

• Automatically records payments and deducts processing fees. 
• Updates financial records as soon as payments are confirmed. 
• Offers detailed insights into refund rates, average order values, and more.

Pro Tip: Look for software that integrates with your go-to payment providers for a seamless experience. 

Get Started Today 

Integrating accounting software with your e-commerce business creates a smoother, more efficient workflow that saves time, reduces costs, and scales effortlessly as you grow. 

Take the next step in simplifying your finances. Visit our pricing page now to explore how their expert financial solutions can help your business thrive. Don’t wait. Start managing your e-commerce finances the smart way today!

The post How E-Commerce Accounting Software Integration Saves Time and Money appeared first on Fully Accountable.

For businesses that forego hiring a CFO or attempt to handle complex financial matters internally, the costs of poor risk management can be devastating. From cash flow problems and compliance missteps to missed growth opportunities, the absence of a dedicated financial expert leaves businesses exposed to preventable risks. 

Enter the outsourced CFO, a flexible, cost-effective solution that provides the financial expertise mid-sized businesses need to thrive. With an outsourced CFO, companies gain professional insights into risk identification, assessment, and mitigation without the expense and commitment of a full-time executive. 

Keep reading to see how outsourced CFOs empower mid-sized businesses to manage risks effectively while driving growth.

Why Risk Management Matters for Mid-Sized Businesses 

Every business faces risks, but for mid-sized businesses, the stakes are particularly high. Without the resources of large enterprises or the simplicity of smaller operations, these companies must balance growth ambitions with operational sustainability. 

Here are the key types of risks that mid-sized businesses often grapple with:

• Financial Risks: Mismanaged cash flow, inaccurate forecasting, or insufficient reserves can threaten business continuity. 
• Regulatory Risks: Compliance errors with tax laws, labor laws, or industry standards can lead to hefty penalties. 
• Strategic Risks: Poorly timed investments or market miscalculations can stall growth or even lead to losses. 
• Operational Risks: Inefficient processes or reliance on outdated systems can result in productivity setbacks and cost overruns. 

The consequences of unmanaged risks range from eroding profits and damaging reputations to hindering long-term growth. This is why having a financial expert, a CFO, is crucial. 

The Outsourced CFO Advantage 

Many mid-sized businesses forgo hiring a full-time CFO due to cost constraints or the perception that they don’t need one yet. However, outsourcing this role provides access to top-tier financial expertise without the financial commitment of a full-time hire. 

Benefits of an Outsourced CFO 

1. Cost-Effective Expertise 

The salary of a full-time CFO often starts at upwards of $150,000 annually, excluding benefits and bonuses. Outsourced CFOs, on the other hand, are available on a fractional, on-demand basis, allowing businesses to pay only for the services they need.

View our pricing page for details about our service plans. 

• Example: A manufacturing business that needs help only during budgeting and year-end reporting can engage an outsourced CFO for those critical periods at a fraction of the cost. 

2. Unbiased Perspective 

Unlike internal hires who may be influenced by company politics, outsourced CFOs offer an impartial view. Their external vantage point allows them to identify blind spots, provide fresh insights, and recommend solutions objectively. 

• Example: An outsourced CFO might notice inefficiencies in vendor contracts that in-house staff have accepted as standard practice and propose renegotiation strategies. 

3. Specialized Risk Management Skills 

Risk management is at the core of what outsourced CFOs do. They help businesses:

• Identify potential pitfalls, from cash flow vulnerabilities to market fluctuations. 
• Assess the likelihood and impact of risks with thorough analysis and forecasting. 
• Mitigate risks by implementing financial controls, diversifying investments, and optimizing processes. 

5 Ways Outsourced CFOs Support Risk Management 

Outsourced CFOs bring concentrated expertise to address specific risk areas. Here’s how they deliver value across key financial challenges. 

1. Financial Risk Planning and Mitigation 

Cash flow disruptions are one of the most common risks for mid-sized businesses. An outsourced CFO creates strategies to stabilize financial health. 

• Cash Flow Strategies: They set up dynamic forecasting models to anticipate shortfalls months in advance. 
• Reserve Planning: Outsourced CFOs ensure that adequate reserves are allocated to weather unexpected downturns. 

Case Example: A mid-sized retail business avoided a liquidity crisis during a sales slump after its outsourced CFO implemented a rolling 12-month cash flow model and suggested revising payment terms with suppliers. 

2. Proactive Compliance Oversight 

Staying compliant is a moving target, especially for businesses operating in multiple states or countries. Outsourced CFOs monitor regulatory changes and keep companies ahead of the curve. 

• Tax Compliance: They ensure accurate filings, avoiding penalties and audit risks. 
• Industry-Specific Rules: For sectors like healthcare or e-commerce, they stay updated on niche regulations. 

Case Example: An outsourced CFO helped an e-commerce startup cut its sales tax compliance errors by 40% by integrating automation tools like TaxJar. 

3. Data-Driven Decision Making 

Without accurate financial data, businesses risk making poor strategic decisions. Outsourced CFOs bring clarity to the decision-making process through:

• Accurate Financial Reporting: Providing businesses with timely, error-free reports. 
• KPIs and Metrics: Establishing performance indicators that highlight risks before they turn into problems. 

Insight: Businesses gain deeper financial transparency, allowing CEOs to focus less on spreadsheets and more on strategy. 

4. Crisis Management Expertise 

Economic shifts, unexpected legal challenges, or sudden market changes can destabilize businesses. Outsourced CFOs build contingency plans to prepare for the unexpected. 

• Scenario Planning: They draft financial roadmaps for various economic conditions. 
• Crisis Response Leadership: With experience across industries, they know how to steady businesses during pivotal moments. 

Example: During a supply chain disruption, an outsourced CFO implemented cost-saving measures that saved a tech company 15% in operating expenses, preserving cash for critical investments. 

5. Positioning for Growth with Managed Risk 

Growth comes with inherent risks, from over-leveraging resources to entering volatile markets. Outsourced CFOs create balanced growth strategies that focus on sustainable scaling. 

• Market Entry Analysis: Evaluating whether opportunities align with the company’s capacity and goals. 
• Investment Allocation: Steering resources toward initiatives with the highest ROI potential. 

Success Story: A SaaS company leveraged its outsourced CFO’s expertise to strategically allocate resources for expansion, growing its customer base by 30% in one year while maintaining profitability. 

3 Risks of Operating Without a Financial Leader 

Many mid-sized businesses attempt to manage financial risks through a patchwork system, relying on general managers or partially trained staff. The downside to this approach includes:

• Missed Warning Signs: Without financial expertise, early indicators of risk (like declining profit margins) may go unnoticed. 
• Slower Response Times: Important decisions are delayed when leaders lack clear financial insights. 
• Reduced Investor Confidence: Poor reporting can erode trust, making it harder to secure funding. 

Ultimately, businesses that lack financial leadership end up reacting to risks rather than preventing them, leading to higher costs and missed opportunities.

How To Find An Experienced Outsourced CFO

Mid-sized businesses often find themselves at a crossroads when it comes to risk management. Hiring a full-time CFO may not be financially viable, but going without expert financial oversight leaves the business exposed to unnecessary risks. This is where outsourced CFOs provide a game-changing solution. 

With cost-effective services, specialized expertise, and scalable support, outsourced CFOs empower businesses to identify, manage, and mitigate risks effectively. They bridge the gap between financial stability and growth, ensuring that mid-sized companies not only survive but also thrive in an uncertain business landscape. 

Next Steps: 

If your business needs sharper financial oversight and better risk management, Fully Accountable’s outsourced CFO services are here to help. Contact us today to protect your business and drive sustainable growth.

The post How Outsourced CFOs Enable Better Risk Management for Mid-Sized Businesses  appeared first on Fully Accountable.

This blog provides insights into accounting data analytics, including over a dozen tips to help you jumpstart your accounting data analytics initiatives. 

What is Accounting Data Analytics?

Accounting data analytics refers to examining datasets related to accounting and financial activities to uncover patterns, trends, insights, and anomalies. This analysis can help make informed business decisions, improve financial practices, and enhance overall business performance. Here are some key aspects of accounting data analytics:

• Data Collection: Involves gathering financial data from various sources within an organization, such as sales, purchases, payroll, and other transactions.
• Data Processing: This step involves cleaning and preparing the data for analysis. It may include removing errors, handling missing values, and organizing the data in a usable format.
• Analysis: Utilizes statistical, machine learning, and data mining techniques to identify patterns and correlations within the data. The analysis can provide insights into areas such as revenue trends, cost management, and financial performance.
• Reporting and Visualization: The insights gained from the data analysis are presented in an understandable format through reports and visualizations. This can include dashboards, graphs, and charts that make it easier for decision-makers to understand the findings and take action.
• Predictive Analytics: Beyond analyzing current and historical data, accounting data analytics can also involve predictive modeling to forecast future trends, cash flows, and financial outcomes. This can help organizations in planning and decision-making processes.
• Compliance and Risk Management: Analytics can help identify potential risks and ensure compliance with financial regulations and standards. Organizations can detect anomalies that indicate fraud or errors by analyzing transactions and financial activities.
• Operational Efficiency: By analyzing accounting data, organizations can identify inefficiencies in their operations and processes, leading to cost savings and improved operational performance.

14 Accounting Analytics Tips To Improve Your Business

Accounting data analytics can only positively impact your company, and while that’s exciting, there are a few tips and tricks you may want to consider before implementing. As always, what works for one organization might not work for yours, so it’s worth experimenting until you create an efficient accounting data analytics workflow that produces the best results. But for right now, this is what you could be doing to set yourself up for success: 

• Hire Outsourced Accounting Data Analytics Services: While it may seem more efficient to have someone in-house do the accounting data analytics, there are benefits to hiring an outsourced accounting team, such as reduced costs and access to a team of accounting professionals. 
• Secure Executive Buy-in: Support from top management is crucial for the success of analytics initiatives. Demonstrate the potential ROI of analytics projects to secure the necessary resources and leadership backing.
• Start Small and Scale: Begin with pilot projects or specific areas of your business. This allows you to demonstrate value and refine your approach before scaling up your analytics efforts across the organization.
• Ensure Quality Data Collection: Data is the foundation of any analytics project. Ensure you have reliable systems in place for collecting high-quality, accurate, and consistent data from all relevant sources within your business.
• Invest in the Right Tools and Technologies: Many analytics tools are available, from simple dashboarding software to advanced predictive analytics platforms. Choose tools that match your business needs, budget, and your team’s skill level.
• Build or Acquire Analytics Expertise: Consider the skills your team needs to effectively analyze data and generate insights. This might involve training current employees, hiring new talent, or partnering with external experts. For example, you can sign up employees for an online course such as this Accounting Data Analytics Specialization course from Coursera. 
• Create a Centralized Data Repository: Consolidate your financial and operational data into a single, accessible database. This makes it easier to perform comprehensive analyses and ensures data consistency.
• Implement Data Governance Practices: Establish clear policies and procedures for data management, including data privacy, security, quality, and compliance standards. This will protect your business and ensure the integrity of your analytics. Protecting data is even more important and mandatory when it deals with sensitive customer data. 
• Start with Descriptive Analytics: Before diving into more complex analytics, start by mastering descriptive analytics to gain a solid understanding of your current financial state and historical trends.
• Gradually Expand to Predictive and Prescriptive Analytics: Once you’re comfortable with descriptive analytics, start exploring predictive models to forecast future trends and prescriptive analytics to make data-driven decisions.
• Encourage a Data-Driven Culture: Foster an environment where data-driven decision-making is valued. While going “with your gut” can lead to positive results sometimes, encourage your team to rely on data insights rather than intuition alone to ensure resources aren’t wasted. 
• Monitor Regulatory Compliance: Ensure your data analytics practices comply with all relevant financial regulations and standards to avoid legal and financial penalties.
• Visualize Data for Better Insights: Use visualization tools to create intuitive dashboards and reports that make complex data more understandable and actionable for decision-makers.
• Leverage External Benchmarks: Compare your analytics outcomes with industry benchmarks to gauge your performance against peers and identify areas for improvement.

Unlock the Full Potential of Your Business With Accounting Data Analytics

By embracing the techniques and strategies outlined, businesses can not only navigate the complexities of today’s financial landscapes but also anticipate future trends and challenges. Implementing these analytics into your operations requires a thoughtful approach — beginning with foundational practices such as ensuring quality data collection and securing executive buy-in, and advancing towards more sophisticated analyses like predictive and prescriptive analytics. Additionally, fostering a data-driven culture and investing in the right tools and expertise are pivotal steps toward realizing the full potential of accounting data analytics.

As businesses continue to evolve in an increasingly data-centric world, companies that invest in accounting data analytics will reap the benefits. With Fully Accountable’s outsourced accounting services, you can instantly implement accounting data analytics, saving you money on hiring or training a team. Contact us today to discuss how we can help you unlock the full potential of your business. 

The post How Is Data Analytics Used in Accounting? 14 Tips for Leveraging Analytics for Accounting appeared first on Fully Accountable.

With four types of data analytics, accountants can create dependable reports, diagnose issues, describe potential solutions, and implement operations that increase the bottom line. In this article, we answer questions surrounding the benefits of data analysis for accountants. We also uncover how accountants can use data analytics to improve their bottom line, reduce operational inefficiency, and uncover funding opportunities.

At Fully Accountable, we believe you deserve a financial professional who understands how to incorporate the correct data analytics into your business. Our team of fractional accountants can help you make the right decisions within your organization, so you have a dependable infrastructure in place to expand with confidence. Continue reading to learn more about why your organization needs accountants with data analytics skills.

Why Is Data Analytics Important to Accountants?

You’ve likely heard the craze surrounding data analytics. But what do accountants and data analytics have in common? Data analytics provide valuable insights to accountants who add tangible value to their organization. This tangible value comes from accountants’ ability to create and implement financial processes based on data. They can utilize the tools that lead to long-term success. 

Accounting software like QuickBooks Online and Xero provides specialized analytics and reporting capabilities that help accountants analyze client data and predict cash flow.

Accountants can also use data analytics to uncover the easiest tasks to automate. Instead of blindly completing bookkeeping tasks, accountants have data to separate simple tasks from those that require more deliberation. This results in fewer errors and more precise long-term directives.

Accountants can analyze tax compliance more completely, especially in relation to investments and ongoing capital procurement. Because accountants have access to more reliable data, they can also expedite investment decisions. In business, the early bird always gets the worm. 

Because accountants have insight and tangible evidence supporting investment opportunities, they can expand faster with more security. 

What Are the Different Types of Data Analytics?

Descriptive Analytics 

Descriptive analytics create the foundation of reports. Business Intelligence tools and dashboards can’t exist without descriptive analytics. These tools address the basic questions surrounding data analytics. You can garner insight from this data and compile them into monthly reports. You can also use these metrics to generate specific reports based on the data you analyze. 

Descriptive analytics, then, serves two purposes. The first is to automate the most critical aspects of your reporting so you don’t worry about human error interfering with your processes. The second is the spontaneous reporting, which allows you to communicate more complex initiatives. The two types of reports that descriptive analytics create are formally referred to as ad hoc reporting and canned reporting. 

Canned reports contain specific, repeatable information. A monthly report containing the same metrics is an example of this type of report.

Ad hoc reports feature metrics that shift. The accountant looks at a given data set and infers conclusions based on their analysis. These types of reports contain more in-depth analysis of more specific data queries. The metrics contained in these reports are often more specific than canned reports, and you likely won’t have to view this type of report a second time. 

Diagnostic Analytics 

Diagnostic reports don’t make future predictions. Audit data analytics can be integrated into diagnostic reports to enhance audit quality and develop industry guidelines. They analyze data from the past and diagnose issues in the present. Data mining, data discovery, and correlations are often used to break data into more specific categories. These methods can uncover information that can qualify candidates for new positions.

Predictive Analytics 

Predictive analytics is one of the most commonly used categories of data analytics. Statistical analysis, including concepts like mean, median, and standard deviation, is crucial for effective predictive analytics. These metrics can be used to identify trends, correlations, causes, and effects.

The category can be further broken down into predictive modeling and statistical modeling; however, it’s important to know that the two go hand in hand. Conversion rates and predictive modeling can be used to target multiple audiences and provide a reliable revenue stream.

Prescriptive Analytics 

AI and big data combine to predict various outcomes and identify the actions your company needs to take. These analytics can be broken down into further optimizations and random testing. Prescriptive analytics provide simulations based on a proposed solution. They help companies devise strategies so they can see the best opportunities to solve issues.

What Data Analytics Skills Do Today’s Accountants Need?

Becoming a successful accountant who specializes in data analysis requires both technical and technological skills, including strong data analysis skills and critical thinking ability. Understanding some coding languages is also helpful for creating custom algorithms and data models for larger data sets.

Developing data analytics expertise in areas like data exploration, visualization, and predictive modeling is essential for accountants to meet the demands of a data-driven environment.

Additionally, accountants need to be able to communicate initiatives and analyses with board members. They need strong presentation skills, and they should be able to clearly communicate insights in a concise, actionable manner.

Data Analytics Creates Automation and Autonomy

With any manual process, there comes human error. Whether through migration, maladoption, or simple data entry mistakes, automation remedies all of these potential errors. Traditional analytics solutions and processes typically cause delays so that executives can’t make quick, confident, and informed decisions. Companies might collect data from multiple sources and require corporate departments to create, extract, transform, and load the data to multiple interfaces. Combined, these tasks leave substantial room for error. 

With traditional solutions and processes, you will likely need an IT expert in analytics to conduct the analysis. Automating analytics processes and migrating to the cloud can be extremely beneficial for businesses of all sizes. However, this comes with a caveat: Businesses must be prepared for an effective migration that doesn’t leave things to chance. Migrations can be time-consuming and pose the risk of lost data.

Automation 

Outside of the risks of migration, modern analytics solutions give you the chance to automate nearly everything. You can simply identify a few parameters you want to automate, determine which model you want to use, and implement the automation on the platform of your choice. You can also input data from multiple applications, platforms, and clouds. Gathering, cleaning, preparing, and analyzing this data can be done immediately, eliminating the risk of human error and saving valuable time.

How Do Data Analytics Transform Accounting?

Data analytics helps accountants in the following areas: 

• Performance Evaluation: Business performance should be evaluated with predetermined metrics, and accountants might look at revenue data, quarterly goal performance, or production numbers.
• Mitigate Risk: Data analytics decrease risks, and they can be uncovered in real-time. Whether you need funding, process management, or investment opportunities, your accountant can uncover risks in real-time and create actions to thwart them.
• Understand Behaviors: Track and review your consumer, departmental, and individual behaviors as well as productivity. These reviews can help you make business decisions and growth plans.
• Business Plans: Analytics can help you gain a detailed understanding of past and present business patterns. Accountants study historical sales numbers, employee retention patterns, organizational spending, and equipment life cycles to determine your business’s overall function.
• Business Improvements: When a department underperforms, data analytics identifies the issues and how you can improve. This leads to comprehensive strategies that increase your bottom line. Your accountant can review sales forecasts, historical sales performances, and operations costs to ensure the right procedures are in place.
• Find Opportunities: Business analytics provide opportunities so you can develop an advantage while looking at current trends. Accountants might include operational directives and dissect consumers and market trends to uncover new opportunities.
• Maximized Profits: With clear insight into what data analytics provide, companies make decisions that improve their bottom line. Accountants can examine a number of data points, such as past purchasing behaviors, market trends, and operational inefficiencies, to increase profit margins.

Bottom Line – Why Do Accountants Need Audit Data Analytics?

Accountants need data analytics because it gives them ample resources to maximize efficiency, simplify compliance, and increase your company’s bottom line. The days of accountants and numbers crunchers are over.

The new accountant will understand how to utilize data analytics to their advantage, not only for diagnostic analytics but also predictive, prescriptive, and descriptive analytics. Each of these has a place in your business, and you can benefit from all of them. You also eliminate the possibility of human error.

At Fully Accountable, we believe you deserve access to the most advanced business intelligence tools and analytics so you can position your company in the right direction. Our team of fractionalized accountants provide real-time reporting and actionable insights into how you can improve your bottom line and stay on top in a rapidly changing business environment. Contact us today to learn more about why accountants need data analytics.

The post Data Analytics for Accountants: Why Do They Need It? appeared first on Fully Accountable.

BI software and services uncover current data and translate into easily understood language and visuals. Financial analytics uses tools to analyze that data and predict the future. An outsourced financial analytics team (like the one at Fully Accountable) uncovers data and translates it using BI. Then we analyze the findings and provide predictive analyses. These analyses develop long-term strategies for business’s core functions that improve cash flow and profitability.

In essence, business intelligence mines and refines the data. Financial analytics provide the map to the future. When conceptualizing this, it’s important to remember data analytics skills aren’t a single practice. It consists of a number of techniques. And while it may be tempting to lump these two subjects together, it can have a negative impact on your analytics strategy. Below, we’re discussing the difference so you can create a strategy that fits best with your financial goals. 

What Is Business Intelligence?

Business intelligence includes four components: data collection, data mining, descriptive analytics, and visualization and reporting. 

Data collection: to analyze any data set, you have to first gather it. Data can come from numerous sources, including IoT devices, apps, spreadsheets, and social media. That then data needs to be consolidated. Companies often use a cloud database to pool all of their data because it streamlines the process.

Data mining: After you consolidate your data in one location (data lake or data warehouse), you have to sort and process it. The advancement of machine learning and AI has greatly aided in this process. These systems sort and recognize patterns and repeatable actions within the data and establish metadata from specific sources. This allows data scientists to focus on the insights rather than the logistical aspects. 

Descriptive Analytics: Data scientists analyze the data to uncover what is happening and why it’s happening. This process builds a greater understanding of the story behind the data.

Visualization and Reporting: Visualization and reporting tools break down numbers and models into visual iterations so the layperson can easily comprehend the focus points. This streamlines collaboration and initiatives so the entire organization can uncover new insights. 

What Is Financial Analytics?

Financial analytics takes the visual elements generated from BI and creates predictive models for elements such as sales and profitability. Below, we detail some of the more integral analyses financial analytics can uncover.

Predictive Sales Analysis

Sales revenue keeps businesses of all types afloat. Sales projections are essential strategic tools for your organization. Predictive sales analytics creates informed sales forecasts by correlating past trends. Using algorithms and analysis, companies can study their sales wins and losses. Analyzing these metrics gives teams the ability to plan directives for their products and services so they can increase marketing spending and inventory at the ideal times. 

Client Profitability Analysis 

In the past, many businesses have guessed which clients brought them the most profitability and which required more attention. With financial analytics, companies have the ability to determine their most profitable clients down to a percentage. Profitability for clients typically falls under the 80/20 rule, meaning 20 percent of the clients account for 80 percent of the profit and 20 percent of clients account for 80 percent of the customer-related expenses. Uncovering your most costly and profitable clients is critical to advancing your business.

Understanding your client profitability is critical to generating insight into your division of labor and ensuring your most costly clients get the attention they deserve from the right allocated resources. It also helps you standardize your approach to your most profitable clients so you can give them the attention they deserve without over-allocating company resources. 

Misunderstanding your client’s contributions to your business can have detrimental effects on long-term profitability due to labor costs and neglecting clients that need more attention. 

Product Profitability Analysis 

Organizations trying to stay competitive within their industry must understand where they stand to make money and where they are losing money. Understanding the profitability of your products and services involves an individual analysis of each item you have on offer. Conducting individual analyses establishes profitability insights across the product range as a whole.

Cash Flow Analysis 

Cash flow is critical to the continued operation of any business. Cash flow analytics uses real-time data such as the Working Capital Ratio and Cash Conversion cycle to perform predictive and regression analysis. Besides aiding with cash flow management and ensuring you have enough money for day-to-day operations, cash flow analytics helps you uncover various long-term objectives. 

Value-Driven Analytics

Most organizations understand their financial objectives. These types of directives can be formal and listed. However, if they are somewhat nebulous, value-driven analytics can create well-defined objectives and a roadmap to success. For businesses to establish company-wide objectives and clearly communicate them, they need to first identify what those objectives are. After identifying long-term objectives, value-driven analyses uncover the levers you need to pull to achieve those objectives.

Why Is Financial Analytics Important?

Financial analytics is important for companies no matter their industry for the following reasons: 

• Businesses require timely data to make data-driven decisions. 
• Companies need tools to decide whether their financial planning and forecasting are testable and accurate. 
• Financial analytics clearly defines businesses’ financial goals, both short and long-term. 
• Financial analytics give you metrics, by which to test your objectives and financial goals. Whether you’re looking to increase profitability, expand your marketing budget, or cut labor costs, financial analytics contains the only testable metrics. 
• Financial analytics quantify your business’s tangible assets such as cash and equipment. 
• Financial analytics provide thorough insights into your organization’s financial health indicators, such as cash flow, profitability, and overall business value. 

What Are the Main Differences Between Business Intelligence and Financial Analytics?

You can recognize the main differences between BI and financial analytics in their aims. While business intelligence is more descriptive, financial analytics is predictive.

Descriptive vs Predictive

The way analysts interpret the data and the insight the data uncovers changes depending whether you incorporate business intelligence or financial analytics. Business intelligence describes events and the reasons those events occurred. Financial analytics, on the other hand, predicts objectives and future points of emphasis. The whys you derive from business intelligence serve as the catalyst for the predictions and goals developed from financial analytics. 

Managers vs Analysts

The second differentiating factor between business intelligence and financial analytics is the role of the data analyst. When an analyst uses business intelligence tools, they are typically fulfilling a managerial role over the data. They present the data to marketers, accountants, and managers who don’t have the technical skills to interpret the data. Business intelligence professionals translate data into clear, visual data points. 

For financial analysis, professionals require more tangible skills. Business intelligence relies heavily on mathematical models, querying, machine learning, and AI to create projections.

Reporting vs Applying

Business intelligence is a simple way of uncovering the data and reporting it. The data is arranged in a legible way so users can easily uncover the why behind financial occurrences.

But with financial analytics, the data is taken a few steps farther than reporting. Data applications and statistical analysis is done to look further into trends and determine why things are happening. So it’s a scenario of reporting data versus applying data in a new way, creating a vision for the future.

New Analytics Strategy vs Existing Analytics Strategy

Many companies decide to approach financial analytics by implementing business intelligence before trying to incorporate financial analytics. This serves as an advisable initial strategy but it can also take time and prevent you from realizing your financial goals sooner rather than later. Once your business intelligence is in place, you need to hire an in-house team to interpret that data. Data analysts skills vary widely and they are in high demand.

Outsourcing your business intelligence and financial analytics ensures a streamlined approach to your predictive analytics. Additionally, because business intelligence should serve as the foundation for your financial analytics, it helps to have experts familiar with the newest software trends and how to operate that software. 

Most companies can learn how to leverage business intelligence. However, most IT managers will tell you advanced financial analytics is the most heavily sought-after service. Implementing that technology isn’t enough, either. You need professionals with the skills to operate financial analytics technology and deliver consistent, actionable insights.

Financial Analytics Use Cases 

The first step to utilizing financial analytics is understanding what it is. The next step is learning how you can utilize it in your various departments. 

Financial Analytics In Marketing 

What emails are customers more likely to respond to? What was your last marketing campaign‘s ROI? If your marketing department wants to understand how their programs affect the company as a whole, financial analytics is the key to uncovering that insight. AI and machine learning provides the powerful analysis used to drive strategic marketing decisions. 

Human Resources

Human decisions do employees use to make career decisions? How do HR leaders better understand how the programs they implement affect the overall productivity. Financial analytics can also help understand the optimal recruitment channels. 

Sales

When is the best time to convert leads into sales? Financial analytics help you break the sales cycle down so you can create a clear picture of what leads to success. All of the contributing factors to your sales, including price, availability, geography, and seasons. Analytics give you the keys to unlock all of those insights. 

Finance Department

Financial analytics can help your finances more than any other department, but what improves your finances will inevitably support other departments. Financial analytics bring finances for the future into full-view with predictive modeling, detailed analysis and insights from machine learning and AI.

Fully Accountable- A Trusted Financial Analytics Team a Phone Call Away

As today’s business world becomes more and more intelligent, companies everywhere have an increasing number of software and analytics tools at their disposal. Choosing which ones to use can be extremely difficult, especially if you don’t have professionals on your team trained specifically for BI or financial analytics. 

At Fully Accountable, you can trust us to implement the correct BI, utilizing the expertise of data analysts who understand your industry and how to maximize your finances to achieve sustainable success. 
Contact us today and start incorporating a mathematical approach to your financial success.

The post What Is the Difference Between Outsourced Financial Analytics and Business Intelligence? appeared first on Fully Accountable.

The term “big data” may confuse some. It can mean many things. And that’s fitting considering so many businesses, nonprofit organizations, and government agencies want to use it for their benefit. 

However, when you take a closer look at big data, it’s essentially large data sets that require a scalable infrastructure to organize and analyze. If you’re looking for a numerical representation, many have defined big data as data that exceeds one petabyte (one million gigabytes). 

Considering the sheer size of this data, it’s no mystery why companies need concrete data analytics teams in place to handle that data. Without that sort of infrastructure, things can quickly get lost in the shuffle. 

This blog discusses big data in detail and examines its “Vs”- volume, velocity, variety, veracity, variability, visualization, and value. Understanding these seven core components of big data will equip your business with the tools it needs to succeed when trying to use big data to your advantage. 

Fully Accountable is here for all of your big data needs. Our outsourced financial management utilizes the correct business intelligence metrics to deliver you actionable insights in a manner that makes sense. Big data should not be something you run from. With Fully Accountable, we make sure that you embrace big data’s complexity and use it to your advantage. 

What Is Big Data?

The term ”big data” refers to massive amounts of complex structured and unstructured data generated quickly by multiple sources. The sources that generate big data are devices such as smartphones, laptops, tablets, social media posts, and any sensors on websites such as fit meters and electronic health records.

This data is rife with opportunities for companies to learn more about their markets and customers and adapt their business to better suit the customer’s needs. Using big data, healthcare providers can identify at-risk populations. Police stations can predict where crime will occur before it happens. Retailers can optimize their supply chains and forecast their inventories with improved accuracy. The applications are never-ending.

However, to extract meaning from this often unstructured data, companies need qualified data analysts who understand how to extract, clean, interpret, and present the data to company decision-makers. These data scientists aren’t easily found.

The Three Vs of Big Data 

To illustrate big data’s definition and purpose, it’s critical to understand the three Vs of big data: volume velocity and variety. Analyst Doug Laney coined these terms in 2001. 

Volume 

With every passing year, data accumulates at an exponential rate. In fact, by 2025, the digital universe will reach over 175 zettabytes. When was the last time you heard the word “zetta” used as a numerical representation? That’s 180 with 21 zeros after it.

You might mistakenly assume the problem with that much data is finding ways to store it. However, the real issue comes from organizing that data into usable sets that analysts can understand. The challenge will be for data analysts to decide where to pull relevant data and the best way to use it. 

Velocity 

The ever-expanding internet creates data at lightning speed. Google receives 3.8 million search queries every minute. 156 million messages to and from users, and Facebook frequenters upload 243,000 photos. Again, the challenge is for data scientists to find ways to collect the data, interpret it, and present it in a way that makes sense. That’s not easy when data sets change at such a rapid pace. 

Variety 

Data comes in many forms. Structured data refers to a data type neatly organized within database columns. Data analysts love this type of data because it’s easy to enter, store, query, and analyze. Unstructured data is challenging to organize and analyze. Data such as emails, social media posts, and word processing documents can be scattered and require administrative hours sorting. 

The Four, Newer Vs of Big Data 

More recently, industry leaders and pundits have created four more Vs related to big data analytics. These four Vs consist of veracity, variability, visualization, and value.  

Veracity

Veracity examines the collected data’s quality. Analysts can’t correctly interpret data that doesn’t have the correct source data. As businesses automate more of their operations and computers make vital decisions, they need to trust their data sources. If they can’t, they put their whole organization at risk. 

Variability 

Another challenge for automation and business intelligence (BI) is deciphering contextual meaning from human complexities such as language. Our words and phrases often have multiple meanings depending on the context. Part of the data scientist’s current struggle is creating software that accounts for this complexity. 

Visualization 

Data has to be understandable to decision-makers for it to be valuable. Simplifying complex data with various graphs helps companies better understand the strategies they need to adopt to create meaningful change with data. 

Value

Big data has no use if it doesn’t bring tangible value to an industry or organization. A Mckinsey article discussed big data’s impact, positing that big data could account for a 300 billion dollar reduction in health care spending. That’s 12-17% of the US’s baseline healthcare costs.  

How Do Companies Use Big Data?

With the amount of data and its various properties, it’s no secret why big data analysis is inherently complex. Its complexity demonstrates the need for equally complex and intuitive systems to ease the strain on data analysts. 

Big data requires a unique NoSQL database to be stored without adhering to specific models. This flexibility is crucial to analyzing what may seem like conflicting information sources. It gives analysts the complete perspective and helps them decide what data is useful and what to discard.  

Operational Data Vs. Analytical Data

When analysts collect, analyze, and process big data, they classify the data in one of two ways: operational or analytical. Operational systems distribute large swaths of data across multiple servers, and it includes customer data such as inventory, customer behavior, and purchase information. 

Analytical is much more complex to organize. These systems analyze complex data and provide companies with the tools to make tough decisions. They often integrate with other infrastructural aspects and maximize the collection and use of data.  

Big data can be used in a wide range of industries. The following examples are just a few examples of how big data impacts businesses such as enhancing research, business forecasting, targeting key audiences with advertising, and understanding consumer behavior. In the following industries, the big data revolution is already well underway. 

Finance 

The finance industry has numerous applications for big data. Companies can use big data to bolster fraud detection, analyze risk, enhance brokerage services, run financial audits, and utilize blockchain technology. 

Fractionalized CFOs and outsourced accounting services can also utilize big data to offer companies enhanced business intelligence and give companies across multiple industries access to valuable advice rooted in data analytics. Big data offers more secure and personalized financial services. 

Healthcare 

Big data has many applications in place to advance healthcare systems. With increased access to patient data, doctors and healthcare providers can tailor treatments and improve research on diseases such as Alzheimer’s. They can also develop new drugs and foster critical insights into population patterns with health.

Media and Entertainment 

Media and entertainment might be the most obvious example of big data at work. If you’ve ever watched Netflix or Hulu, you’ve contributed your data to the data analysts at the streaming platform’s headquarters. 

Believe it or not, every time you watch a movie or listen to music on Spotify, algorithms analyze your habits to try and improve their services. Netflix even analyzes data on graphics, word choice, and colors to help make their business decisions. 

Agriculture 

In agriculture, you can find applications for big data in predictive analyses about crop yields and engineering seeds to adapt to specific clients and seasons. Groups such as the Global Open Data for Agriculture and Nutrition promote unrestricted access to global nutrition and agricultural data to end world hunger. 

Conclusion- What Is Big Data?

Big data is the most useful tool for data-based decision making in business today. As the amount of data increases, these data scientists must create more innovative ways to analyze unstructured data. The three Vs represent the pillars of this effort. They display how analysts should approach big data in the future.

Analysts must bear in mind where they receive their data, the amount of data they receive, and the quality of their data in relation to the problems they are trying to solve. They must also consider how they represent the data to their organization’s decision makers. Raw data that’s unstructured is virtually useless. 

At Fully Accountable, we believe everyone should have access to business intelligence that improves their bottom line and increases their chances of success. Our certified accountants and financial analysts understand how to take big data and turn it into actionable advice. 

Contact us today to see how big data analytics can take your business to new heights. 

The post What is Big Data & What Does it Mean? appeared first on Fully Accountable.

But all this doesn’t mean it’s easy to tap into the power of big data. Business leaders need the right tools and personnel to make sense of big data by “cleaning” it into accessible and understandable sets. Two positions in particular, data analysts and data scientists, are essential for businesses today to put big data to use for you and your company. 

In this blog, we’re taking a closer look at big data and how two key positions, data analysts and data scientists, use this tool to help businesses make smarter decisions. We also compare these two roles, investigating what a data analyst and a data scientist have in common and how they each offer unique contributions to the growth and effectiveness of a business. 

At Fully Accountable, we’re dedicated to serving the financial needs of ecommerce and tech companies across the United States and Canada. No matter your industry, our digital accountants and fractional CFOs will surpass basic bookkeeping tasks and help you uncover insight to increase the growth of your business. We have the tools and experience to help you take advantage of big data to make the right business decisions. 

WHAT IS BIG DATA?

We’ve all heard this term thrown around, but do you really have a clear idea of what it means? According to Oracle, big data can be defined as “data that contains greater variety, arriving in increasing volumes and with more velocity.” Essentially, big data is large, more complex sets of data that require new methods and tools for managing and making sense of this valuable information.

While big data provides new opportunities for insight into your business and industry, it also comes with inherent challenges, such as being able to store, organize, and then decode such large amounts of information. This is where data experts, including data analysts and data scientists, become essential. 

THE THREE V’S OF BIG DATA AND DATA ANALYTICS

When you’re talking about big data and data analytics, there are the three V’s you should always keep in mind: volume, velocity, and variety.

Whether you’re an accounting company or any other information-driven field, here’s a breakdown of the important factors of big data you should know:  

1. Volume: this refers to the sheer amount of data, which may be structured or unstructured, depending on the source. Some organizations can reach a volume of hundreds of petabytes of data.

2. Velocity: this refers to the rate at which your data is received and processed. High velocity data can function in real-time, which requires prompt evaluation and action on the part of your data analysts.

3. Variety: this refers to the different types of data your business can access. Traditional data often came in just one or two types, and thus, was much easier to organize in a relational database. However, now that there are so many unique types of data, including video and audio files, structuring big data has become a much greater challenge. 

WHY YOU NEED DATA ANALYSTS AND DATA SCIENTISTS

Big data can prove invaluable for your business. But is it all just about how much data you have? While more data is certainly valuable, what matters most is how you use your data. With effective data analysis, you can unlock key insights into your business and the market, allowing you to make improvements for nearly any aspect of your operations.

As your business grows, the complexity of your processes and operations inherently increases. To effectively scale your business, data can offer insight into the complexity, revealing patterns and trends. By understanding these patterns and trends, you can make more informed decisions for your business.

Big data can help you determine the size of a market opportunity, assess the value of certain products, utilize consumer insights, and measure the performance of your content and products. If knowledge is power, big data is about as powerful as it gets. 

WHAT IS A DATA ANALYST?

Data analysts are becoming an increasingly common position found in companies across a wide range of industries and fields. But what exactly does this position entail? According to Rasmussen University, a data analyst is someone who will “retrieve and gather data, organize it, and use it to reach meaningful conclusions.” From healthcare organizations to restaurant chains, data analysts can provide valuable insight into the operations of a company and help managers make effective, informed decisions.

Here are some of the core responsibilities of a data analyst:

·  Conduct data research.

·  Write SQL queries to extract data.

·  Clean and organize data into manageable sets.

·  Express data via visual representations, such as charts and graphs.

·  Perform quantitative analysis.

·  Contribute to KPI reporting via data analytics. 

WHAT IS A DATA SCIENTIST?

In many ways, a data scientist takes a more macro approach to data analytics. While data analysts often focus on very specific questions and solutions, a data scientist takes a broader look at how data affects the business and informs company decisions. Data scientists often have a background in mathematics and generally spend more time developing tools and methods for extracting and analyzing data. In many cases, data scientists develop the tools used by data analysts to run queries, extract information, and clean data sets.

Here are some of the core responsibilities of a data scientists:

·  Mine and analyze data from databases.

·  Assess the accuracy and usefulness of data sources and data-gathering techniques.

·  Create data models and algorithms.

·  Coordinate with multiple teams and developers to implement data tools.

·  Use predictive modeling to improve company processes.

·  Design processes and data tools to monitor and analyze KPIs.

It’s important to note that each business will define “data analyst” and “data scientist” in slightly different terms. As a result, the specific responsibilities of these positions can be fluid and different depending on the industry and company’s needs. If you’re pursuing work as either a data analyst or data scientist, be sure to carefully review the specific qualifications and responsibilities that will be included in the job posting. 

CONCLUSION – DATA ANALYST VS DATA SCIENTIST

In recent years, big data has increasingly become a powerful tool. Regardless of your industry or professional field, big data provides insight into market trends, consumer behavior, and your own business processes to help you make the right decisions. By working with experienced data professionals, such as data analysts and data scientists, you can tap into the power of big data and gain control over the future of your business. 

At Fully Accountable, we’re here to help your business grow–no matter your industry or the size of your workforce. With our professionalism, advanced tools and data, and years of experience, we can help your business have its best fiscal year to date. 

Contact us to learn more about big data and how outsourced accounting and a fractional CFO can benefit your business–no matter the size or industry. Together, let’s change your business for the better. 

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