Wondering whether financial business intelligence (BI) is a prospective investment for your company? Then look at what Forrester predicts for this year:
- More than 50% of under-50 FinTech users will refer to GenAI tools for financial advice. GenAI tools collect financial data and let the audience ask questions, get meaningful answers, and make the right budgeting decisions. Financial BI can be trained on the same data as GenAI. If you’re already using AI in your business, implementing BI will be a natural next step.
- Around 50% of Tier-1 financial companies will implement smart agents for their back-office tasks. One-third of all back-office responsibilities will be automated with smart technologies, including BI and AI. Each step and decision will be data-driven and orchestrated. This will mark a shift from generic workflows to role-specific and automated operations.
So, you see, if you’re already collecting financial data on a daily basis or using AI in your operations, you have a solid foundation for implementing financial business intelligence. And this article will show you what steps to take to make this implementation smooth and hassle-free.
Keep reading to uncover the impact of financial BI on your business, top BI tools to consider, and key steps for implementing this technology in your FinTech company.
Why Business Intelligence for Financial Services Can Be Your Competitive Advantage
To put it simply, financial BI is like the brain of your company. It’s an umbrella term covering strategies, tools, methods, algorithms, and technologies used to collect and manage financial data. The main BI components include:
- Data sources: CRM, ERP, spreadsheets, or other databases from which data is extracted.
- Data warehouse: A centralized place for storing and organizing data.
- Online analytical processing (OLAP) tools: Algorithms for data analysis, pattern identification, and trend forecasting.
- Data visualization: Interactive dashboards for quick and easy access to data.
The biggest power of financial business intelligence is its adaptability. It can be configured differently, depending on your goals, timelines, budget, toolset, and expectations.
Apart from adaptability, business intelligence in finance also offers practical pros. These benefits clearly demonstrate why leading FinTech companies like PayPal, Stripe, Revolut, Visa, Shopify, etc., rely on this technology in their daily operations. Here are some of the technology’s benefits:
- Your company becomes more efficient. Instead of hiring more people, you implement a single solution that takes over the whole data processing. Your company handles more tasks in less time, boosting productivity and improving business results.
- You automate a large volume of work. Data collection, management, and analysis of key performance indicators (KPIs) are fully automated with financial BI. You make a smart, one-time investment that pays off for years.
- Your business decisions are smarter. With financial business intelligence, you get access to the latest data and insights into budgets, investments, and inefficiencies. You no longer rely on risky decisions or intuition but instead build a thoughtful business strategy, considering both your strengths and weaknesses.
- You gain more transparency. Any piece of raw data can be checked by BI stakeholders in real time. Enhanced by data visualization and automated reporting, business intelligence in finance makes it easier for non-technical staff to track every operational step. This ensures regulatory compliance and transparency throughout your organization.
- Your insights are data-proven. Based on historical trends and data analytics, intelligent technologies can predict what will happen in the financial sector tomorrow, including trends in customer behavior, sales, market fluctuations, and risk assessment. As a result, you can anticipate global changes and minimize disruptions to your business.
In short, for the FinTech market where data is everything, finance business intelligence becomes a necessity. Those who realize the power of financial BI become market leaders and multiply their chances of staying ahead in a very competitive landscape.
Looking to automate financial processes and save time? Get in touch with our team to streamline operations and reduce manual work.
How Business Intelligence in Finance Solves Real Financial Challenges
The positive impact of BI on financial businesses is undeniable. According to the latest data, more than 78% of global enterprises have implemented at least one BI or analytics platform by 2025. Often, one BI solution is enough for a FinTech company to reach all their business goals.
To figure out the project’s scope and the number of required solutions, you need to know how many BI applications your company needs to implement. Here are the core BI use cases in the financial sector to help you choose from:
Fraud detection and risk management
To minimize fraud and manage risks, your company needs to analyze data in real time. Manual checks are almost impossible at scale, which is why financial professionals rely on BI tools.
Financial business intelligence solutions monitor vast volumes of raw financial data. They help you detect money laundering, spot identity theft, and prevent threats. Unlike static tools that are easy to bypass, ML fraud detection algorithms recognize patterns and proactively mitigate risks.
The result: Your company is not only informed about risk assessment but can also act proactively.
Expense and cost management
What differentiates business intelligence tools is their powerful cost management functionality. Business intelligence in finance collects raw data from multiple sources, creating a single source of truth for your finance department.
The system allows your teams to analyze data consistently, identify inefficiencies, and track key performance indicators without manual consolidation.
The result: You achieve better visibility, operational efficiency, and smarter resource allocation.
Budgeting and forecasting
With predictive analytics and scenario modeling, BI solutions help finance teams track cash flows, expenses, and revenue. Changes in user behavior are detected automatically. This allows teams to adjust budgets dynamically.
The result: Your company gets more accurate forecasts, controlled spending, and financial performance that reflects real conditions.
KPI monitoring and strategic decision support
Financial BI centralizes key metrics in one place, enabling teams to monitor KPIs, track growth, churn, and liquidity, and receive automated data-driven insights.
BI supports data-driven decision-making, risk management, and strategic initiatives like market expansion, pricing, or investment planning. The technology combines historical trends with predictive analytics, which helps identify trends and reduce uncertainty.
The result: Companies enjoy smarter strategies, minimized risks, and stronger positioning in the financial sector.
Top BI Tools Financial Companies Use to Drive Smarter Decisions
From practical experience, the most effective BI platforms for business intelligence in financial operations are Power BI, Tableau, and Looker. Nearly all companies we have worked with in the financial services industry rely on one of these tools for analytics and reporting needs. These platforms provide immediate access to complex financial data, which helps finance teams make informed decisions.
The mentioned BI solutions work particularly well for finance teams because they integrate with popular financial systems. In addition, they offer strong data transformation and visualization features, which are critical for analyzing customer data and tracking key financial metrics that measure an organization’s financial health.
We have hands-on experience with all three tools, so below are the main insights that can help you decide which option fits your team best.
Power BI
Power BI is a cloud-based BI solution by Microsoft that supports connections to more than 250 data sources. Pricing starts at approximately $14 per user per month, and the tool offers robust data modeling and transformation functionality.
It is especially well-suited for organizations already using Microsoft products such as SharePoint, Dynamics, Azure, or Excel. Power BI integrates naturally into the Microsoft ecosystem. This reduces setup time and makes it easier to embed financial reports directly into business operations.
Another advantage is licensing. In some cases, Power BI is included in broader Microsoft subscriptions. For example, companies with a Microsoft Office E5 license can use Power BI at no additional cost. Overall, Power BI is our clients’ preferred choice for business intelligence in financial environments, helping their employees monitor actual financial performance and revenue streams.
Tableau
Tableau, which is part of Salesforce, connects to more than 150 data sources and starts at around $15 per user per month. It is widely recognized for its advanced data visualization capabilities, offering deeper insights for strategic decision-making.
Some Tableau plans can cost close to $70 per user per month, reflecting the platform’s flexibility in charting options and visual customization. Tableau is best suited for organizations that prioritize polished and complex visualizations. In the financial industry, this level of sophistication helps teams identify patterns and gain a deeper understanding of historical data, supporting operational and strategic decisions.
In practice, Tableau performs just as well as Power BI for financial BI use cases. If your organization is not tied to the Microsoft stack and your team prefers Tableau’s interface, it is a perfectly valid choice to anticipate future trends and optimize marketing strategies.
Need help integrating business intelligence into your finance workflows? Contact us to get a free implementation proposal that fits your systems and goals.
Looker
Looker is a Google-owned, enterprise-focused BI platform. Licensing typically starts at $35,000 or more per year, and the learning curve is steeper compared to Power BI or Tableau.
One of Looker’s strongest advantages is collaboration. It allows multiple developers to work on the same dashboards simultaneously, providing valuable insights for larger analytics teams. Looker also supports data warehousing and data encryption, ensuring compliance with financial regulations.
What Looker truly excels in is embedded analytics. It is an excellent option for organizations that need to integrate dashboards into internal systems or customer-facing applications, providing a comprehensive analysis of the finance industry and enabling finance professionals to anticipate FinTech and banking trends.
Proven Approach to Implementing Business Intelligence in Financial Services
Now that you know a lot about BI, its benefits, applications, and top tools, we can move to the practical side of the question — implementing this technology in your business. Below, we present a general strategy that breaks down into narrower steps depending on the project’s goals, chosen tools, and business expectations. Consider this strategy as a high-level guide to turning financial BI into your business power.
And if you need deep expertise and tailored planning, get in touch and let our experts guide you through a seamless implementation of business intelligence in finance.
1. Define clear objectives
Start by outlining your goals for implementing business intelligence in financial services. Assess current data sources and make a list of the ones that will be used for BI-driven data analysis. For example, some companies outline their POS systems, CRM platforms, and accounting software as critical data sources. Meanwhile, others prioritize HR or payroll systems, PIMs, and CMS.
How to choose the right data sources for BI implementation? Select sources that provide accurate, complete, and timely data. Make sure the sources are regularly updated and can be integrated with other tools. Avoid including systems that don’t directly impact the metrics you want to analyze, because extra data adds complexity without value.
2. Select the right BI platform
The choice depends on your financial services industry segment. Retail chains often use Tableau to analyze customer data and improve marketing strategies. Meanwhile, FinTech companies might prefer Looker for historical data analysis.
It’s important to make this choice responsibly. The BI platform will form the core of your BI strategy, and you will spend time and resources on its integration into your IT environment. If you are hesitating between options, let our BI experts study your business and consult you on the most effective solution.
3. Design and implement dashboards
Dashboards display key financial metrics and allow teams to track actual financial performance. Properly designed dashboards improve strategic decision-making. They help leaders gain a deeper understanding of complex financial data.
What’s more, dashboards help non-technical team members access and interpret data. As a rule, non-technical teams have creative problem-solving skills that may be useful for your business strategy. Data visualization and dashboards help them access data directly, explore trends on their own, and contribute insights to financial discussions without needing technical expertise.
4. Train your teams
Implementing a smart solution is only halfway toward effective business functioning. Another part lies in the practical application of this solution by your team. You can spend a fortune on the most effective tools and get no results simply because your staff avoids using BI.
To prevent this, prepare a detailed training plan. Involve the specialists you engaged in BI development, organize workshops, and create questionnaires for your employees to share how the changes are going.
5. Collect feedback and refine
Continuous refinement allows organizations to maintain financial stability, improve data quality management, and optimize business operations. We recommend that you regularly collect team feedback on FinTech BI implementation.
The insights gained at this step will help you refine your BI strategy in a way that meets both your business objectives and internal operational needs.
Financial Business Intelligence Designed Around Your Reality
Today, companies in the finance industry are moving from static legacy tools to cloud-based BI solutions. Such solutions provide immediate access to historical data, support strategic decision-making, and deliver insights into an organization’s financial health.
With BI, anything that can be translated into data becomes a powerful instrument for revenue growth and resource optimization. Forbytes’ clients have already experienced key benefits of business intelligence in finance. As a result, companies enjoy financial health, valuable insights, and improved decision-making.
If you also want to join the list, leave us a note. We’ll study your case thoroughly and come up with a free proposal on how to reach your business goals.
