
What Is Generative Analytics? And How It’s Different from Business Intelligence
Executives are being asked a new kind of question from their analytics investments. Not “Do we have visibility?”But “Can we make better decisions faster, with

Executives are being asked a new kind of question from their analytics investments. Not “Do we have visibility?”But “Can we make better decisions faster, with

For many organizations, Microsoft Power BI has delivered meaningful progress: faster reporting cycles, broader access to performance data, and improved transparency across the business. From

Enterprise spending on artificial intelligence continues to rise sharply, yet its impact on real business decisions remains limited. According to McKinsey, more than 70% of

When business leaders discuss analytics, a persistent assumption is often embedded in their conversation: “If we have dashboards and BI tools in place, we are

AI investment is no longer experimental. Across industries, it has moved into core budgets, executive agendas, and strategic roadmaps. Yet despite this momentum, the practical

The Manufacturing CIO’s Guide to Building a Data Ecosystem That Drives ROI, Not Just Reports Most manufacturing CIOs don’t lack data. They don’t even lack dashboards. What they lack

Most manufacturing CIOs don’t lack data. They don’t even lack dashboards. What they lack is confidence, confidence that the numbers in front of them are good enough to act on. Every

Inventory does not pile up overnight. It grows quietly. One extra production run here. One early reorder there. One delayed decision that feels harmless in the moment. By

Manufacturing Does Not Have a Data Problem It Has a Decision Timing Problem In most manufacturing plants, decisions are not delayed because people don’t care. They are delayed

Most manufacturing plants already collect large amounts of data. Machines generate signals. Systems record downtime. Reports show OEE by shift, line, and plant. Yet many leaders still ask a