Stay ahead with the inics blog
We regularly publish insightful articles on key topics related to data management, business intelligence, and data analytics—keeping you informed and ahead of industry trends.
Crime Scene: White Goods, Red Numbers
The Loading Dock - a Data Crime Story about Missing Controls, Alibis, and the Forensic Tracing of Numbers
Microsoft Fabric is Convenient – But Convenience Comes at a Price
Microsoft Fabric is currently being hailed as the new all-in-one solution in the BI universe. A platform that unites integration, transformation, and reporting in one interface, promising to finally eliminate data silos, system breaks, and complex architectures.
Pretty Charts: Why Hichert’s Principles Still Matter in Modern BI
BI has evolved dramatically. We now have AI-assisted forecasting, anomaly detection, and self-service tools at every manager’s fingertips. And yet, in most organizations, dashboards are more complex - not more useful. Executives don’t want visual fireworks. They want clarity. That’s why Hichert’s IBCS principles, developed long before “augmented analytics” became a buzzword, remain highly relevant today.
The Real Bottleneck in Business Intelligence Isn’t Data. It’s People.
Business Intelligence (BI) has never had more powerful tools. Platforms like Microsoft Fabric, Databricks, and Qlik deliver integrated pipelines, governance, and AI-driven insights at a scale that was unthinkable only a few years ago. And yet, many BI projects still fail. Not because the data is broken, but because the people side of BI is neglected. Here’s the leadership journey every BI initiative goes through, and the points where most stumble.
The Impact of the EU AI Act on Business Intelligence
The EU’s Artificial Intelligence Act is the world’s first comprehensive AI law, and while it doesn’t regulate every dashboard, it has major implications for Business Intelligence once AI features are involved.
Critical Path Thinking: Conducting Your Data Pipelines Like an Orchestra
The CFO doesn’t care if 200 tables reload on time. He cares if the P&L is ready before the board call. That’s the critical path. Your data’s conductor.
Treat the Problem, not the Symptoms: Common Mistakes in Data Cleansing
When numbers don’t add up, many teams reach for the same cure: cleansing scripts. They patch nulls, deduplicate rows, and standardize values downstream. It works. But only on the symptoms. The root problems remain. And the “data debt” keeps growing.
Data Governance and the Single Source of Truth
Companies often come to us because their reporting doesn’t add up. Dashboards contradict each other, KPIs are inconsistent, and the root cause is almost always assumed to be technical.
AI is a Bubble
So was the Internet.