# Blog — Page 2

> Product updates, industry best practices, and expert tips on AI business intelligence, dashboards and analytics.

HTML version: https://supaboard.ai/blog/page/2

Page 2 of 7. [The complete index](https://supaboard.ai/blog) lists all 49 posts.

- [Positive vs Negative Correlation, With Examples](https://supaboard.ai/blog/positive-vs-negative-correlation) — data, 2026-05-20. Positive correlation means variables move together, negative means apart. How to read strength and direction, and how to avoid the dual-axis trap.
- [Spend Analytics: Tools, Use Cases and Best Practices](https://supaboard.ai/blog/spend-analytics) — data, 2026-05-18. Spend analytics turns scattered procurement data into savings you can act on, and the use cases that reliably pay back before all the others do.
- [AI Contextual Governance for Analytics Teams](https://supaboard.ai/blog/ai-analytics-governance) — engineering, 2026-05-14. Static AI rules either over-restrict or over-expose. How contextual governance scores each request, and why fabricated insights fail silently.
- [Top ThoughtSpot Alternative in 2026: Best Tools Compared](https://supaboard.ai/blog/thoughtspot-alternatives) — product, 2026-05-11. ThoughtSpot pioneered search-style analytics at enterprise prices. How alternatives compare on setup cost, modelling and time to first answer.
- [AI Predictive Analytics in Healthcare: A Practical Guide](https://supaboard.ai/blog/healthcare-analytics) — data, 2026-05-04. Healthcare analytics is constrained first by what data may legally move. How masking, prediction and explainability fit together in practice.
- [Manufacturing Analytics: Why It Matters More Than Ever in 2026](https://supaboard.ai/blog/manufacturing-analytics) — data, 2026-05-01. Manufacturing analytics joins machine telemetry to commercial outcomes. Where predictive maintenance pays back, and where it quietly does not at all.
- [Retail Business Intelligence: KPIs, Tools and Pitfalls](https://supaboard.ai/blog/retail-business-intelligence) — data, 2026-04-27. Retail KPIs work in four layers: sales, inventory, customer, margin. How to read them together so that a revenue drop always gets the right response.
- [Database Optimization: Performance and Scaling](https://supaboard.ai/blog/database-optimization) — engineering, 2026-04-21. Most database performance problems are query plans, not hardware. How to find them, what indexing really costs you, and when to scale up instead.

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