BI trends: modern controlling with Bissantz

What current topics and trends are shaping business intelligence and controlling? We’ve analyzed studies and collected our own data so you can understand the latest developments and apply them to your business.

In addition to market studies, we also analyzed our own data. We asked parti­cipants which topics are currently of greatest concern to their companies’ controlling depart­ments. The responses fell into nine topic clusters—ranging from areas such as reporting, dashboards, and data analysis, to operational issues related to controlling in specialist departments and the adoption of new tech­no­logies, all the way to future-oriented areas such as auto­mation, modern data platforms, and AI and machine learning.

Three key topics stood out in particular: AI and machine learning, planning and fore­casting, and modern data platforms such as Microsoft Fabric. They illustrate that strong data foun­da­tions remain indis­pen­sable, while AI-driven inno­vation is trans­forming controlling. Bissantz bridges both worlds—with solutions that build on robust data structures while simul­ta­neously harnessing the capabilities of modern AI.

These three key areas do not stand alone but are inter­twined with other topics. Without robust data structures, AI remains ineffec­tive. Without AI, platforms fall short of their poten­tial. This is also confirmed by the BARC Trend Monitor 2026, which shows that data quality manage­ment is a top priority for companies, while at the same time generative AI, machine learning, and decision intelli­gence are gaining in importance.

The following six topics paint the complete picture: from the indis­pensable foundation of data quality, through the practical integration of AI, to the cultural embedding of data-driven decisions—and how Bissantz translates these trends into concrete solutions for your controlling functions.

Reliable controlling starts with reliable data. Without adequate data quality, AI projects fail and the quality of decision-making suffers.

Bissantz ensures that your data foundation is consistent, complete, and trustworthy. Automated validity checks, transparent data provenance, and consistent data models lay the groundwork for robust analyses and modern management control. This way, you can be confident that your business decisions are based on a solid foundation of data.

Everyone is talking about AI—including those in BI and controlling. Modern controlling is capable of leveraging artificial intelligence throughout the entire data flow within a company.

For example, with Bissantz’s AI expertise, you can integrate data sources, interpret variances, perform forecasts, and generate recommendations for action. In this way, rule-based and generative AI become an integral part of your controlling processes—transparent, traceable, and without requiring you to be AI experts yourself. The result: higher-quality analysis, less manual work, and faster decisions.

Decision intelligence and agentic AI are trending topics in AI-driven business intelligence. While agentic AI automates processes, decision intelligence supports decision-making through context-based recommendations. These decisions can be partially or fully automated using agentic AI.

Bissantz combines both approaches: You receive automatic alerts for critical deviations, including well-founded interpretations and AI-driven recommendations for action. This accelerates your decision-making and increases your responsiveness—a true competitive advantage, especially in dynamic markets.

Markets are changing faster than ever before. Modern controlling requires a planning approach that adapts: flexible enough to respond to changes and precise enough to serve as a reliable basis for decision-making.

That’s why Bissantz combines proven planning methods with modern AI capabilities: Rolling forecasts automatically adjust to current actual data, while AI identifies patterns and trends and translates them into robust forecasts. Simulations make it possible to quickly run through various scenarios and directly assess their impact on relevant key metrics. Integrated commenting features ensure that planning assumptions are transparently documented and communicated. The result: planning that reacts faster, forecasts more accurately, and requires less manual work.

Effective analysis starts with clean data—and clean data starts with the right architecture. Modern data platforms such as Microsoft Fabric combine data integration, storage, preparation, and analysis into a single platform.

Bissantz supports companies in building and effectively utilizing their data architecture based on Microsoft Fabric—from designing data pipelines and integrating existing source systems to implementing analysis, planning, simulation, and forecasting directly on the platform.

Business intelligence and AI can only reach their full potential when business users can understand and use data independently.

That is why Bissantz has always focused on intuitive user interfaces, clear visualizations, and analytical methods that make complex relationships understandable at a glance. Modern AI capabilities complement this approach by simplifying access to data, accelerating analyses, and supporting users in interpreting information. Controllers, managers, and executives work independently with their data—without relying on IT or specialized BI experts. This leads to faster analyses, more informed decisions, and a corporate culture in which data becomes an integral part of everyday work.

The most important BI trends point in a clear direction: Success in modern controlling stems from the combi­nation of strong data foun­da­tions with innovative AI capa­bilities. Bissantz supports you in both areas—through software solutions as well as consulting services that guide companies on their path to future-proof controlling.

You benefit from a secure, consistent data foundation, AI-driven efficiency and perfor­mance improve­ments, and compre­hensive expertise in working with modern data platforms such as Microsoft Fabric. This ensures your controlling is future-proof: responsive, data-driven, and decision-oriented—while maintaining high quality and security.