
BI Managed Services: What It Solved, and What Replaced It
Managed BI solved a real problem: who keeps reporting alive after go-live. Why the staffed model failed, and what changes when the platform does the work.
Analytics that reaches the business: embedded analytics, AI in data analytics, the multi-source data problem, and data lakes on Azure.

Managed BI solved a real problem: who keeps reporting alive after go-live. Why the staffed model failed, and what changes when the platform does the work.

What poor data management costs, the signs of a data problem, and five steps to fix it: audit, governance, integration, quality processes and monitoring.

Why scattered data leaves businesses blind, where analytics pays off in customers, operations, finance and risk, and what to look for in a data partner.

How AI changes business intelligence: faster analysis, machine learning that flags anomalies, insight from unstructured data, and automation of routine work.

What Azure Data Lake is, how its Store and Analytics components work, and its features: scalable storage, real-time processing, security and integration.

Why software vendors embed analytics in their applications, the challenges of building analytics in-house, and what Power BI offers as an embedded option.
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