Why SMEs need Business Intelligence and Should Invest in FP&A?

Hands typing on laptop with Business Intelligence dashboards, charts, and analytics, illustrating data-driven FP&A for SMEs
Business Intelligence tools empower FP&A to deliver data-driven insights for SMEs.

In a world where business complexity increases every day and data are more available—and more important—than ever, decisions must be based on facts, not on intuition or seniority. This is why SMEs need Business Intelligence to navigate complexity, transform data into actionable insights, and ensure that every decision is grounded in evidence rather than instinct.

Large corporations have already embraced this principle. They invest heavily in Business Intelligence (BI) systems and in building strong competencies, because they clearly see the immediate benefits. For them, data-driven decision-making follows a scientific method of analysis: collecting, processing, and interpreting data before acting on critical strategic choices. Their organizational structures are usually segmented, meaning that specialists focus on their specific functions. In such cases, FP&A plays a pure FP&A role, acting as the “customer” of Business Intelligence teams by defining requirements and consuming BI outputs.

For SMEs, the situation is different. Their main challenges are scalability, limited budgets, and cultural barriers. Decision-makers often assume that BI systems and advanced analytical competencies are “only for big companies.” They are partially right—resources are indeed more constrained. But that does not mean SMEs can afford to ignore the value of data-driven management. On the contrary, SMEs must also run their businesses effectively, respond to challenges in a timely manner, and achieve their objectives in a controlled and sustainable way.

This is exactly where FP&A professionals with BI skills come into play: they enable SMEs to combine financial insight with data-driven tools, ensuring that even smaller organizations can make decisions based on evidence, not instinct.

What Is the Role of FP&A in a Data-Driven Business Environment?

Financial Planning & Analysis (FP&A) has always stood at the intersection between numbers and strategy. Its mission has traditionally been to take financial results, analyze them, and provide management with a clear picture of how the company is performing against its objectives. In many SMEs, this role has historically been carried out through Excel spreadsheets and manual reporting. These tools are still valuable, but when uncertainty increases, competition intensifies, and financial pressure grows, spreadsheets alone are often too slow, too limited, and too fragile to support timely decision-making.

In today’s data-driven environment, FP&A cannot be confined to budgeting cycles or historical variance analysis. Its role has expanded into something far more dynamic:

  • Making sense of financial and operational data in real time, rather than waiting weeks for consolidated reports.
  • Transforming numbers into forward-looking insights, so management can anticipate, not just react.
  • Embedding accuracy and timeliness into every decision, ensuring that choices are made with a clear understanding of both risks and opportunities.

This shift fundamentally changes how SMEs must think about FP&A. It is no longer a back-office function producing reports—it becomes a strategic partner. To fulfill this role, SMEs need to go beyond spreadsheets and embrace Business Intelligence tools and methodologies. BI allows FP&A to connect data from across the business, build a single source of truth, and deliver insights that are not only descriptive but also predictive.

In short, in a world where complexity and data availability are growing, FP&A provides the framework that allows SMEs to remain competitive and resilient—not by intuition, but by decisions firmly grounded in evidence.

How Are Data Professions Like Data Science, Analytics, and BI Compared to FP&A?

Over the past decade, entirely new professions have emerged around data. Data Scientists work with both structured and unstructured information, applying advanced algorithms and machine learning to uncover hidden patterns and predict future outcomes. Data Analysts specialize in answering specific business questions: they collect, clean, and interpret datasets to provide clarity on particular issues. Business Intelligence Analysts, on the other hand, design systems and dashboards that give leaders real-time visibility into performance, enabling them to monitor and respond quickly.

These roles may come from diverse backgrounds—statistics, computer science, or business—but they all share a common foundation: data is their raw material.

FP&A professionals are not different in this respect: they too depend on data. But their contribution goes beyond pure analysis or visualization. What distinguishes FP&A is their ability to connect financial data directly with business strategy. They are the bridge between the operational side of the company and the financial narrative that drives strategic choices.

Bridging this gap means that FP&A does much more than review numbers in isolation. Like Data Analysts, they must work with structured data from multiple systems: ERPs and accounting platforms for financial flows, CRMs for customer and sales insights, HR systems for workforce metrics, and operational tools that track production, logistics, or service delivery. By bringing these datasets together, FP&A is able to explain business performance, validate results, and even anticipate outcomes before they appear in the financial statements.

But the role doesn’t stop at structured data. Often, FP&A must also interpret unstructured information: PDF reports, textual notes, market studies, or external economic data that add valuable context to the numbers. This combination allows them not only to analyze what has happened, but to predict what might happen next and prepare the organization accordingly.

Finally, as with Business Intelligence specialists, FP&A must ensure that insights are not locked in complex models or hidden in spreadsheets. Their mission is to communicate relevant information clearly to the business and its stakeholders—answering questions, guiding decisions, and ensuring that performance remains aligned with strategic objectives. Dashboards, reports, and presentations are not ends in themselves, but tools that enable managers to understand, act, and steer the company toward its goals.

In this sense, FP&A is not a competitor to Data Scientists, Data Analysts, or BI specialists. Instead, it is a role that integrates elements of all three: analytical rigor, technical fluency, and business orientation. And because their perspective is anchored in both finance and operations, FP&A professionals are uniquely positioned to ensure that data becomes not just information, but a driver of decisions that create real business value.

Why do SMEs need Business Intelligence and Should Build BI Capabilities Inside FP&A?

In many small and medium-sized enterprises (SMEs), Business Intelligence is still seen as something that belongs either to the IT department or to external consultants. The assumption is that BI is too technical, too expensive, or too far removed from day-to-day financial management. Yet, placing BI capabilities directly within FP&A opens opportunities that SMEs cannot afford to ignore.

The first advantage is business relevance. FP&A professionals understand the company’s financial DNA: the drivers of revenue, the structure of costs, and the levers that impact profitability. When they are the ones shaping BI systems and dashboards, the outputs are not generic reports but tools directly aligned with business priorities. This ensures that every visualization, every metric, and every model speaks the language of performance and strategy.

Secondly, embedding BI within FP&A dramatically accelerates decision-making. Instead of waiting for IT teams to extract data or for external consultants to prepare reports, managers can rely on financial insights delivered in real time. The result is agility: leadership can respond quickly to market changes, emerging risks, or new opportunities, armed with accurate information.

Another crucial capability is scenario planning and forecasting. BI tools, when integrated with FP&A models, allow SMEs to run “what-if” simulations instantly. Leaders can see how a change in sales volumes, pricing, or supply costs would impact margins and cash flow, long before those shifts appear in the accounts. This forward-looking approach transforms uncertainty into preparedness.

For SMEs, which often operate with limited resources, BI within FP&A also becomes a tool for resource optimization. By analyzing data holistically, FP&A can identify inefficiencies, highlight underperforming areas, and recommend how capital and talent should be reallocated to maximize value creation.

Another important benefit is the avoidance of additional specialist costs. In large organizations, it is indispensable to have dedicated Business Intelligence specialists, because the scale and complexity of data require full-time roles focused only on BI. But in SMEs, where resources are tighter, having FP&A professionals skilled in BI means there is no need to invite or invest in an additional BI specialist. A single function can combine financial expertise with analytical capabilities, ensuring that BI is both cost-effective and directly relevant to business needs.

Finally, there is the question of scalability. SMEs may begin small, but growth brings complexity. BI systems designed and managed by FP&A evolve with the business, ensuring that decision-making processes remain robust and reliable as the company expands into new markets, products, or geographies.

In essence, integrating BI into FP&A is not about adding more technology for its own sake—it is about giving SMEs the ability to make better, faster, and smarter decisions. It transforms FP&A from a reporting function into a strategic enabler, ensuring that financial insight becomes the foundation for resilience and growth.

How Can FP&A Leverage BI Tools in Practice?

For SMEs, adopting BI within FP&A does not need to be a massive, costly transformation. In fact, the journey can be taken step by step, with tools and approaches that are both practical and accessible.

The natural starting point is Excel, still the backbone of most FP&A work. Excel remains indispensable for modeling and quick analyses, but it has limitations in terms of scalability, visualization, and collaboration. The next step is to evolve into dedicated BI solutions such as Microsoft Power BI, Tableau, or Qlik. Among these, Power BI stands out for its affordability: licenses start from around 10–20 euros per user per month, making it a realistic option even for smaller organizations. With such tools, SMEs can move from static spreadsheets to interactive dashboards, gaining a dynamic view of their business.

But tools alone are not enough. To make BI valuable, FP&A must define the key business drivers—the metrics that really matter. Cash flow, working capital, customer acquisition costs, and operational KPIs are not just numbers; they are the pulse of the business. Dashboards should be designed around these drivers, telling the story of performance and guiding management decisions.

A further step is to automate data collection. Too often, valuable time is wasted in exporting, cleaning, and reformatting data. By connecting BI systems directly to ERPs, CRMs, HR, and sales platforms, FP&A can eliminate repetitive manual tasks and dedicate more time to analysis, forecasting, and strategic support.

This approach can be transformative in practice:

  • Sales example – A sales director consistently reported adverse deviations from budget, always explaining them verbally but without structured evidence. When FP&A developed a sales dashboard by client, product category, and period, management gained clarity. The dashboard not only compared sales against plan but also integrated order data, showing future secured sales. For the first time, leaders could see both accountability for the past and visibility into the pipeline.
  • Cash flow example – The finance team used to monitor liquidity only once per month, often discovering issues too late. By connecting bank data, accounts receivable, and payable information into a BI-powered FP&A dashboard, the company could monitor cash flow in real time. This allowed them to anticipate shortfalls weeks in advance and negotiate financing before the problem escalated.
  • HR and workforce planning example – A services company struggled with high overtime costs but could not pinpoint the cause. FP&A connected HR data on working hours with project profitability data. The resulting dashboard revealed that a handful of projects were absorbing disproportionate staff time without generating sufficient margin. This insight led management to renegotiate contracts and redistribute resources—reducing overtime and improving profitability.

Naturally, making this happen requires skills. An FP&A professional with solid BI competencies brings immense value—but such profiles are still relatively rare and therefore command higher salaries. For many SMEs, the alternative is to partner with advisory firms specialized in FP&A and BI. Companies like FinDep Consult can design tailored solutions, set up FP&A functions, implement BI tools, and train internal staff to ensure long-term sustainability. This project-based approach is often more cost-effective: the SME gains access to expertise, best practices, and training without committing to a permanent high-cost hire. If needed, ongoing support can be provided to maintain and further develop the systems.

Conclusion: Why Should SMEs Prioritize FP&A Competencies in BI?

Small and medium-sized enterprises (SMEs) face the same business complexity as large corporations, but with fewer resources at their disposal. This makes it even more critical for them to base decisions on facts rather than intuition or hierarchy. By integrating Business Intelligence into FP&A, SMEs gain the ability to transform financial and operational data into actionable insights, anticipate risks, and guide their growth in a controlled and sustainable way.

The evidence is clear: BI-driven FP&A is not a luxury reserved for big players. It is a necessity for SMEs that want to remain competitive, resilient, and profitable in today’s fast-changing environment. With the right tools and competencies, FP&A moves beyond reporting the past and becomes the co-pilot of the business, actively shaping its future.

This is exactly where FinDep Consult can make a difference. Our expertise lies in combining financial knowledge with advanced FP&A and BI solutions, always oriented toward the real needs of the client. We design tailored frameworks, implement the right tools, and train internal teams to ensure that insights do not remain theoretical but deliver measurable value. For SMEs, our interim management assignments represent a pragmatic compromise: access to senior expertise and advanced methods without the long-term fixed cost of a permanent hire.

In short, working with FinDep Consult means having a partner that brings clarity where there is complexity, builds capabilities where there are gaps, and helps transform data into a true driver of business performance.

👉 Contact FinDep Consult to discover how we can bring FP&A and BI expertise to your business.

👤 About the Author

Anastasia Aleksenko, FCCA, Managing Partner at FinDep Consult. ACCA Fellow and CPA (Italy) with 25+ years in finance leadership, specializing in financial modelling, FP&A transformation, and operational financial control.

As a Finance professional, she has embraced the power of Business Intelligence, learning its tools and successfully implementing tailored solutions across different organizations. This unique combination of finance expertise and BI competencies allows her to design FP&A functions that are not only results-driven but also fully data-enabled—helping companies improve performance and achieve their strategic objectives in a measurable, sustainable way.