The reading that comes before the tool decision.
Eight free downloads: what breaks BI projects on MongoDB and Elasticsearch, how telecoms unify real-time data, what AI agents actually do, how to choose a semantic layer for AI, and the metrics and features that matter when you are choosing a stack.
Playbook10 pages The Semantic Layer Playbook (2026)
What the AI text-to-SQL benchmarks actually show, five architectures compared, the build plan, and 12 RFP questions for AI BI.
Get the playbook Ebook MongoDB Analytics: Challenges, BI Alternatives & Frameworks
Why traditional BI breaks on documents, four options compared, and a 30-day evaluation roadmap.
Get the ebook Ebook11 pages AI Agents in the Enterprise
What agents are, the chatbots vs workflows vs agents split, six BI use cases, and the A2A and MCP protocols.
Get the ebook Whitepaper11 pages Elasticsearch Integration: Joining ES with SQL, NoSQL & APIs
Blending search and log data with MongoDB, MySQL, Redshift, REST APIs and Couchbase, without ETL.
Get the whitepaper Guide19 pages Telecom & Media Analytics Playbook
Five approaches compared, the real cost of each, and a 30-day evaluation plan, with operator case studies.
Get the guide Ebook · Book 114 pages Getting Started with Data Analytics in 4 Steps
Goals before tools. Then the sources unified, before anyone builds a dashboard.
Get the ebook Ebook · Book 213 pages Key Metrics to Track as a Start-Up
The launch-stage and growth-stage metric sets, defined one by one and split by stage.
Get the ebook Ebook · Book 310 pages Top 5 Features to Look For in an Analytics Tool
The five capabilities that decide whether a BI tool still gets opened in month two.
Get the ebookBring one of these questions to your own data
Every guide here ends in the same place: whether it holds up against your stack. Show us the sources you actually have, SQL, NoSQL, APIs, documents, and we will run your questions against them rather than a demo dataset.