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Stay ahead with expert insights, trends, and practical guides on AI analytics, data strategy, and the evolution of business intelligence.

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AI-ready data from SQL, NoSQL, APIs, documents, and search flows through a governed data layer to deliver trusted AI answers without consolidating or moving the data.

AI-Ready Data Does Not Mean Consolidated Data

AI readiness is a semantics and governance problem, not a storage location. What enterprise teams need across SQL, NoSQL, APIs and documents.

September 8, 2026
Knowi Apps — operational apps built on governed business data

Introducing Knowi Apps: The Part After the Dashboard

BI tools help you go from data to insights, what is happening in your business. Then you have to decide what actions you need to

August 31, 2026
Best Customer-Facing Analytics Tools 2026

Best Customer-Facing Analytics Tools 2026

The best customer-facing analytics tools in 2026 are Looker, ThoughtSpot, Sisense, GoodData, Qrvey, Luzmo, Explo, Cube, and Knowi. The right pick…

August 11, 2026
Federated Analytics vs Data Warehouse

Federated Analytics vs Data Warehouse

Whether to federate queries across live sources or centralize data in a warehouse first comes down to latency tolerance, join size, and compliance…

August 9, 2026
GoodData alternatives

GoodData alternatives

GoodData customers are evaluating alternatives over MAQL’s learning curve, workspace-per-tenant pricing, quote-only procurement, and, for a narrower…

August 8, 2026
Comparison showing AI generating incorrect answers from raw database tables versus accurate analytics using a semantic layer with certified business context.

Semantic Layer for AI: Why LLM Analytics Fail Without One

LLMs write valid SQL that returns wrong numbers. The benchmark evidence, how AI BI tools consume semantic context, and what actually fixes accuracy.

August 7, 2026
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