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Everyone, from managers to chief executives, loves figures. Especially figures showing highs and lows in financial performance adorned in a visually appealing wrapping.
And this is exactly what Business Intelligence tools do. They collect information from multiple sources, process and analyze it, and present it through intuitive dashboards and reports that make sense to any decision-maker. They become interpreters, translating overwhelming volumes of financial data that only experts can understand into clear, actionable insights for the entire leadership team.
Over the past few years, the role of business intelligence for finance has grown far beyond simple reporting. It has become a core element of financial strategy, helping companies connect performance metrics with business goals. As organizations increasingly rely on data to guide strategic planning, the demand for business intelligence solutions for finance continues to rise. The global BI software market is projected to reach approximately $90.38 billion by 20301. This upward trend proves that BI is no longer optional but an essential part of how CFOs and finance departments drive accuracy, transparency, and long-term value creation.
However, practical evidence suggests that even with advanced business intelligence for CFOs, the tools companies invest in sometimes contribute to confusion and poor decisions rather than “light bulb” moments. This paradox often arises not from the technology itself, but from a lack of alignment between business goals and how BI is implemented. Why does this happen, and on the flip side, what gives some organizations the edge to make the most out of their business intelligence for finance departments?
Our expert unravels this mystery, while also sharing her firsthand experience regarding:
Olga Akulich — Oxagile’s Chief Financial Officer, with a strong background of over 17 years in finance, including a two-year experience as a leading consultant for an international BI tools integrator, and a proven track record of effectively implementing IFRS standards, optimizing financial processes, and streamlining numbers-based decision-making for international holdings and leading local companies, including a company with EBRD investments.
Let’s start with a key principle that runs as a red thread throughout this discussion: the success of business intelligence for finance depends not on the tool itself, but on how clearly a company understands its goals and how maturely it approaches implementation. The true value of BI emerges when technology and management culture evolve together.
In Oxagile’s experience, successful business intelligence is about much more than deploying a new analytics system. It’s about fostering a culture where every department, from finance to operations, sees its performance as part of a bigger data-driven picture.
Corporate maturity in this context is reflected in three essential aspects:
In many organizations, those that succeed with BI are the ones that balance technology with leadership and collaboration. They treat BI tools for finance as part of a broader ecosystem that promotes transparency, shared responsibility, and continuous improvement. Technology alone doesn’t transform decision-making, it’s the finance leadership that shapes how data becomes a common language across the company.
Expert perspective:
“The goal of implementing BI lies in the appearance of a unified language between functions: finance and business are on the same page from the very start. For instance, finance can observe an increase in non-liquid goods, while the business, within the same interface, can see if gross income is decreasing and identify which clients and projects are affected.
However, for this entire cross-functional system to work, a significant responsibility falls on the shoulders of the Head of Finance.”
The CFO’s role in implementing business intelligence for finance extends far beyond financial oversight. It’s about creating a data-driven environment where every strategic decision is supported by reliable insights rather than assumptions. In this sense, the CFO becomes not only a guardian of numbers but also a bridge between technology and business logic.
Such fostering of a data-driven culture may include setting processes for all employees, embracing data-driven practices, and restructuring some aspects of the company’s operations to ensure seamless data integration and further accessibility across different departments and teams.
The CFO’s areas of responsibility also include:
Reaching a consensus with shareholders or owners on how the company’s strategy is going to be manifested in figuresEstablishing well-coordinated work of all company departments in order to achieve these figuresResearching whether the necessary data exists in the information systems and formulating the requirements so that Business Intelligence tools aggregate and collect the needed dataControlling the dashboards deploymentIn practice, this means the CFO becomes the key orchestrator of BI, aligning data priorities with strategic objectives, verifying data quality, and setting the tone for analytical collaboration across the company. When financial leadership takes ownership of BI, the technology stops being a reporting instrument and becomes an integral part of corporate decision-making.
Implementing a BI system in a company is like ascending a mountain, where the CFO plays the role of the chief alpinist, driving and guiding the process, taking steps to ensure everyone stays on track at various checkpoints, and gradually anchoring the entire team at specific milestones, making sure that no one slips and falls down.
However, even the best-equipped climbers can stumble. In business intelligence, challenges are rarely technical alone. They often lie in data quality, team adoption, and the clarity of the overall vision. Recognizing these pitfalls early allows CFOs to turn potential failures into learning opportunities and ensure BI becomes a long-term advantage rather than a short-lived experiment.
And before we get lost in these metaphors, let’s give the mic to Olga (our “chief alpinist”), who has hands-on experience in dealing with the possible hurdles while implementing BI systems, along with proven ways to overcome them and help you climb to new heights.
Expert perspective:
“Essentially, the main failure in BI implementation is doing it without any effect. Money is spent, the BI system is seemingly integrated into processes and other solutions, but nothing works as intended. As a result, instead of ascending Everest, it’s more like wandering around the mountain.”
The roots of this issue may stem from an interplay of the factors like:
If the company doesn’t handle its data properly from the start, as described in this data quality guide, trying to incorporate business intelligence is unlikely to bring successful results.
People may resist new processes because of limited training, lack of confidence, or fear of leaving their comfort zone, even when new BI practices can make their work easier in the long run.
While the Chief Information Officer may understand the technical side, BI initiatives led solely from the IT perspective often miss the strategic financial layer. The most effective business intelligence tools for finance emerge from collaboration between CIOs and CFOs, ascertaining that technology truly reflects business priorities.
Addressing these pitfalls early through transparent communication, strong data governance, and continuous employee engagement helps transform BI implementation from a climb into a guided, well-supported ascent.
At Oxagile, we help CFOs and finance teams design and implement business intelligence systems that actually drive measurable results — not just generate reports. Our experts connect strategy, data, and execution so every insight leads to action.
Let’s discuss how we can make your BI investment start working for you.
“We want a robust BI system that accurately presents all the processes impacting the company’s financial state,” most employers say.
“We need everything at once, preferably yesterday and with minimum resources involved,” they also tend to say.
While this desire to get accurate data and track KPIs immediately is understandable, rushing to integrate BI into existing processes often leads to disappointing outcomes. Without a proper foundation, insights may appear impressive on screen but prove as unreliable as fortune-telling in practice.
To help avoid this trap, Oxagile’s CFO shares a structured, experience-based approach that allows finance leaders to set the right starting point and ensure the success of BI initiatives.
This step involves defining long-term goals for each functional area and aligning them with measurable KPIs. Instead of getting overwhelmed by the endless variety of BI solutions, start small — select a pilot department or a single use case to address specific pain points, such as reducing inventory levels or improving revenue forecasting accuracy.
Map all relevant data sources early to understand what information is already available and what needs to be collected. This transparency prevents delays later and ensures that BI implementation reflects real business processes rather than assumptions.
There are two alternative approaches: one involves pre-cleaning and normalizing the reference data prior to its integration into the BI system, which is especially applicable when dealing with limited data and references.
The second approach implies importing raw data into the BI system and then collaborating with the development and analytics team to determine the priority of cleansing the reference data.
Define clear ownership of each KPI and validate all calculation methodologies with key stakeholders. This step helps maintain consistency and trust in reports, ensuring that business intelligence for finance departments delivers reliable insights across all units.
Deploy the chosen BI system step by step, making sure that both business and technical teams remain aligned. Training sessions, internal workshops, and regular feedback loops will speed up adoption and reduce friction. Alongside these steps, it’s crucial to foster a strong analytical culture and build internal communities that continuously improve data literacy across the company.
When implemented this way, BI transforms from a static reporting layer into a living, evolving system that grows together with the organization’s maturity and ambitions.
Circling back to our metaphorical universe, where implementing new processes can be like a climb to the mountain summit, we feel like noting that when some may opt for physical challenges and risky routes, others take alternative, hidden paths to reach the top quicker and safer. And here are our expert’s “hidden paths” leading straight up:
1. Give your business a “quick win”
It means finding the area where implementing BI will provide the maximum return on investment. Usually, it’s about handling aspects like inventory, analyzing missed sales opportunities, or studying customer behavior — areas where complex analytics and manual processing fall short or can’t solve the problem effectively.
By starting small, companies can build trust in BI across teams. Early results speak louder than presentations, showing employees how business intelligence for finance can make their daily work simpler and more transparent.
2. Don’t use BI as a mere Excel replicator
BI isn’t just about “seeing a table with customers”, but rather understanding “which major customers stopped buying this month.” So, a good BI system should focus on forming an analytical chain that quickly delivers valuable insights to business, not just replicating existing reports in a different interface.
The best BI tools not only visualize data but also connect it with causes and consequences. When used right, they help organizations spot anomalies, track progress, and act, but not just observe.
3. Multifaceted approach to building the analytical culture
Changing the analytical culture is a vital step because simply providing employees with access to the BI application won’t bring about real change. They may resist using a new tool and might need to be taught how to analyze things differently.
Encourage curiosity and transparency by forming an internal analytics community, hosting short knowledge-sharing sessions, and making BI a part of performance KPIs. The more accessible analytics becomes, the stronger the data-driven mindset grows.
Expert perspective:
“The instruments and processes I’d also recommend setting up are:
Expert perspective:
“It’s fascinating how technologies, with their extensive variety and potential, can liberate the human mind from routine tasks. By freeing the brain from low-level work, we enable the capacity for more creative and high-quality decision-making.
For example, in the retail sphere, competent managers are particularly crucial. They must effectively determine what to purchase and control the products that are successfully sold and those that remain in stock. However, if these managers are constantly consumed by inventory and sales tracking, their ability to make smart decisions will significantly decrease.
This is where the BI comes into play. But it’s important to note here that we should consider BI not merely as tools like Looker or Power BI, but rather as systems and means for solving specific business tasks and optimizing a company’s operations.
In production, for instance, BI can be great for assessing the efficiency of production plan execution, the availability of human resources, and the management of component and raw material supply. In distribution, BI is an indispensable tool for supporting sales and operations planning (S&OP) processes. When it comes to companies involved in hardware or software development, BI can prove advantageous in analyzing various data related to projects, the efficiency of all processes, employee skills, and workloads.
Ultimately, the conscious utilization of BI systems enables businesses to become more flexible and successful, while allowing their employees to express themselves in a more creative and productive way.
So it’s a mutually beneficial interaction that can become a real catalyst for the company’s growth and development.”
Business intelligence doesn’t make decisions — people do. But when finance leaders learn to ask sharper questions, BI stops being a tool and starts acting like a second mind — one that never sleeps, never forgets, and always brings the bigger picture into focus.
True business intelligence for finance isn’t about visualizing what already happened. It’s about seeing what’s coming next — faster, clearer, and without noise. It connects numbers with intent, reveals where value hides, and turns financial operations into a precise, measurable language the entire company can understand.
The companies that win aren’t the ones with the flashiest dashboards. They’re the ones where every number has meaning, and every insight leads to movement.
Learn how Oxagile can help you build BI that actually works for finance.
1. Precedence Research — Business Intelligence Software Market – Global Outlook 2024–2033
It refers to the tools and systems that collect, analyze, and present financial data in clear, actionable insights for decision-makers. It helps CFOs and finance departments transform overwhelming data into meaningful visual reports, enabling them to make informed strategic decisions.
Good tools integrate and analyze data from multiple sources, providing intuitive dashboards and reports. These tools help CFOs and finance teams track key performance indicators (KPIs), identify trends, and predict future outcomes. The real value comes when these tools are used within a collaborative, data-driven culture across the organization.
Poor data quality, resistance to change from employees, and a narrow, technology-driven approach are all common. These pitfalls often arise when BI systems are deployed without a clear strategy or alignment with business objectives. To overcome them, companies need to foster strong data governance, encourage employee engagement, and ensure that BI tools are seen as enablers of business transformation, not just reporting tools.
