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The Latest Thinking On AI In Analytics, Straight From Momenta Analytics Thought Leadership HQ
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13 articles
We Scored 46 KPIs About Your Analytics Practice. Here's What They Actually Measure.
One medication, nine conflicting cohort definitions, and nobody who'd ever seen them side by side. Here's what our 46-KPI Health Assessment actually measures.
Trust doesn't only break through a data breach. Sometimes it breaks over something far smaller.
Two dashboards. One cohort. Two different counts.
Why Analytics Needs Its Netflix Moment
Netflix didn't win because it had more movies. It won because it labeled them.
AI Readiness: What It Actually Means for Your Data
AI readiness isn't about data volume or which model you've licensed. Here's what actually determines whether your data is ready for AI, and how to measure it.
Context Layer vs. Semantic Layer: What's the Difference, and Who Fills Them?
Semantic layers define what a metric means. Context layers add the evidence to trust it. Here's the difference, and the open question of who fills both.
Three Platforms One Prerequisite: What It Actually Takes to Fill a Semantic Layer
Snowflake, Databricks, and Microsoft all announced AI agent products that depend on governed business definitions in a semantic layer. We wrote up what it actually takes to populate and maintain the semantic layers they depend on.
What Is Query History? Definition, and Why It's Your Most Underused Data Asset
Query history is the complete, timestamped record of how your team actually uses data. Here's what's inside it, and why almost nobody reads it until something breaks.
Why AI Needs Infrastructure, Not Just Intelligence
Every major tech platform is racing to own your enterprise context—because that's where AI becomes most valuable. This macro-trend, known as Context Engineering, confirms that in the age of AI, contex
The Most Important Documentation Your Analysts Ever Wrote Wasn't in Confluence
It was in their WHERE clauses — the business rules buried inside every SQL query your team has ever run. They just didn't know they were writing it.
Your AI agent has a dictionary. It doesn't have a childhood.
SAM from Star Trek Academy is every 'Talk to Your Data' agent being promised to the enterprise. And the trauma is the decades of ugly, uncleaned, undocumented data warehouses we're forcing them to process without experience.
Inside the Neuron Pipeline: What Actually Happens to Your Query History in 4-6 Weeks
From raw query export to a working context layer: a real, five-stage walkthrough of what Neuron does with 100,000 queries in 4–6 weeks.
Semantic Layer: The Complete Guide
A complete guide to semantic layers — what they are, the tools that implement them (dbt, Cube, Snowflake, Databricks), and why most are only partially populated with real business logic.
What Is a Context Layer? Definition, Components, and Why Most of Them Start Empty
A context layer is the machine-readable record of how your business actually defines and calculates its metrics. Here's what it includes, and why most start empty.
Whitepapers
2 articles
Natural Language Analytics: Implementation Field Guide
A practical field guide for implementing Databricks Genie and Snowflake Cortex Analyst. What each platform actually requires, where they overlap, and what neither does for you.
Getting Started with Text-to-SQL You Can Actually Trust
Natural-language-to-SQL has the potential to reshape the landscape of data analytics.