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Tag: kpi definitions

Data & Analytics

Data Integrity in Plain English: The Chain You’re Actually Managing

This entry is part 2 of 6 in the series Data Farm

Data integrity isn’t philosophical. It’s not a vibe. It’s whether you can reproduce the same number tomorrow without reenacting a crime scene investigation. In the real world, the question shows up like this: “Why does the KPI say 92% here and 87% there?” KPI means Key Performance Indicator, but on bad days it stands for Keep People Investigating. You’ll get a practical checklist you can run immediately, plus a clear next step to reduce rework and rebuild trust.

January 13, 2026 David Carneal
Data & Analytics

When KPIs Become Rumors (and Meetings Become Courtrooms)

This entry is part 1 of 6 in the series Data Farm

If your KPI shows up as three different numbers in the same meeting, congratulations: you don’t have a KPI, you have a choose-your-own-adventure. This is how “reporting” quietly turns into courtroom drama. Sales brings Exhibit A. Ops brings Exhibit B. Finance brings Exhibit C. Everyone is technically correct in their own universe, and nobody is correct in the universe where decisions get made. You’ll get a practical checklist you can run immediately, plus a clear next step to reduce rework and rebuild trust.

January 8, 2026 David Carneal
Data & Analytics

The Data Farm: From Integrity to Dashboards

If your leadership meetings include three dashboards and three different “truths,” you don’t have a KPI problem, you have a data integrity problem This article explains data integrity in business terms and introduces the “data farm” pattern: raw preservation, standardization, a governed semantic layer, and dashboards that consume certified outputs You’ll also get a practical roadmap, common failure modes, and one small step you can take this week to make “where did this number come from?” a one-minute answer.

January 6, 2026 David Carneal
Business Operations

Bad Data can be Like Trying to Drive With a Foggy Windshield

Bad data is rarely a technical mystery, it’s usually a decision problem wearing a data costume. This article shows why KPI trust breaks (definitions, timing, identity), what a trust-first approach looks like, and how to build a data “supply chain” that produces reliable dashboards and forecasts. Includes a practical road map and a 2-week starter plan to surface where your numbers are getting distorted.

January 2, 2026 David Carneal

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