What is business intelligence?
Business intelligence is about turning data into concrete knowledge that you can use to make better decisions. It is both a technological process and a way of working, in which you systematically collect, structure, and analyze data to make sense of your company’s information. In practice, you integrate data from many different sources—finance, sales, production, and marketing—into a single system. This gives you a clear overview of how the company is performing and how you can optimize operations.
BI works best when data is transformed into visualizations, dashboards, and reports that make the insights easy to understand. In other words, you make large amounts of data accessible and usable for everyone in the organization. This means that management can track developments in real time, while employees at the operational level can respond quickly to changes that affect their day-to-day work.
Business intelligence differs from business analytics, even though the two concepts overlap. While business analytics focuses on predicting trends and understanding causes through advanced statistics, BI focuses primarily on presenting and organizing existing data. The goal is to create a common foundation for decisions based on facts rather than intuition.
How do you use business intelligence?
You use business intelligence by gathering your company’s data in one place and translating it into practical insights. This is typically done through a BI system such as Power BI or TARGIT, where you can build dashboards, visualize key metrics, and run queries. This allows you to discover patterns and correlations that are otherwise difficult to spot when data is scattered across multiple systems. For example, you can see how marketing campaigns affect sales, or how delivery speed correlates with customer satisfaction.
If your business works with digital marketing, you can integrate BI with data from Google Analytics, Google Ads, and social media platforms to get a comprehensive view of performance. By aggregating data across channels, you can better assess which campaigns generate the most value and where you should invest more. The same principle applies if you work with SEO: By using BI, you gain a more detailed insight into which keywords drive traffic and conversions, and how rankings change over time.
That's Why You Need Business Intelligence
The reason business intelligence is so widely used is its ability to link strategy with data. You can use it to strengthen both operations and business development. At the operational level, BI can give you an overview of how production is going and whether there are any deviations from the plan. At the tactical level, you can identify patterns in customer behavior and market trends so you can respond proactively. And at the strategic level, you gain a solid foundation for adjusting the company’s direction as the market changes.
The greatest strength of BI is that decisions become data-driven. Instead of acting on gut feelings, you can back up your choices with concrete facts. This not only leads to better decisions, but also greater transparency, because everyone can see the results and sources on which decisions are based. When you can respond more quickly to changes in the market and customer behavior, you’re in a stronger competitive position.
What types and varieties are available?
Business intelligence comes in many forms, but broadly speaking, there are three main types. First, there’s reporting and querying, where the system retrieves and presents data in a structured format. Next is OLAP—Online Analytical Processing—which enables deeper analysis and cross-referencing of data at various levels. Finally, there is a more advanced form of BI, where you combine the technology with machine learning or predictive analytics. Here, you use data not only to explain what has happened, but also to predict what is likely to happen next.
In addition, you distinguish between business intelligence and competitive intelligence. While BI focuses primarily on internal data and processes, competitive intelligence focuses on knowledge about competitors and market trends. The combination of the two provides the most comprehensive insight into the company’s position in the market.
How do you use business intelligence in practice?
In practice, business intelligence is about making those insights useful in day-to-day operations. For example, you can automate reporting so that all employees have access to the same data and see the same version of reality. This creates what is often called “one truth” within the organization. It means that the marketing and sales departments work based on the same key metrics and don’t waste time trying to figure out which numbers are most accurate.
An example of practical application:
You can also use BI to track performance over time. By comparing historical data with current figures, you can identify trends and opportunities for improvement. This applies both to finance departments that want to track the ROI on investments and to digital marketing teams that systematically measure campaign effectiveness across channels. Many companies also integrate BI with IoT data to monitor production in real time or with machine learning to identify potential risks before they arise.
What should you keep in mind?
To get the most out of business intelligence, you must ensure that data quality is high. Poor or incomplete data leads to misleading results, no matter how advanced the BI tool is. You should therefore define clear rules for data sources, ownership, and update frequency. It’s also important that everyone in the organization understands the context and purpose of the data, so that BI is used as a shared basis for decision-making and not as an isolated analytical tool.
In addition, BI requires ongoing strategic alignment. Data should not simply be collected for the sake of reporting—it must be actively used to drive improvement. This means that leadership must set a clear direction for how BI should support business objectives, and that marketing, sales, and operations must agree on how data is translated into action. When you make BI function as a common language within the organization, it becomes one of the most valuable tools for driving growth and digital maturity.
