Data Migration Without Breaking Reporting
A practical checklist for moving reporting to a new data system while proving parity, protecting history, and giving users a safe cutover path.
Data Foundations
Migration
Move from spreadsheets, legacy databases, or tangled scripts into a cleaner stack without breaking reporting.
Metric Definitions: Plain-English Guide
How to define business metrics so dashboards, migrations, and data models do not quietly disagree.
Source System Drift: Plain-English Guide
A practical guide to spotting, explaining, and controlling source system changes before they break migrations, pipelines, and dashboards.
AI-Ready Data: Plain-English Guide
A practical way to judge whether your data systems can support reliable AI, automation, and analytics before you add more tools.
Warehouse First Analytics: Common Mistake
How to avoid turning a warehouse-first migration into a larger pile of untrusted tables.
Legacy Reporting Migration: Common Mistake
Why copying every old report into a new BI tool creates expensive clutter, and how to migrate the business decisions instead.
Ownership And Runbooks: Common Mistake
The most common failure is writing runbooks without assigning real owners, decision rights, and maintenance habits.
Analytics Handoff: Common Mistake
The mistake is treating handoff as a walkthrough instead of a transfer of operating responsibility.
Pipeline Freshness: Operator Checklist
A practical checklist for finding, defining, and protecting freshness in dashboards, migrations, and core data pipelines.
Backfills: Operator Checklist
A practical checklist for safely recomputing historical data during migrations, model fixes, and pipeline repairs.
Customer Data Modeling: Operator Checklist
A practical checklist for defining customer identity, lifecycle, ownership, and migration rules before your data becomes harder to trust.
Metric Definitions: Founder Framework
A practical way for founders and operators to define metrics before dashboards, migrations, and automation make disagreement expensive.
Source System Drift: Founder Framework
A practical way for founders to spot, control, and plan around changing operational systems before migrations and dashboards break.
AI-Ready Data: Founder Framework
A practical way for founders to judge whether their data can support AI use cases before they buy tools, start a migration, or automate decisions.
Warehouse First Analytics: Migration Playbook
A practical playbook for moving reporting logic out of fragile tools and into a governed warehouse foundation.
Legacy Reporting Migration: Migration Playbook
A practical way to move old reports into a trusted modern reporting stack without recreating every legacy problem.
Ownership And Runbooks: Migration Playbook
A practical way to assign responsibility, document operations, and reduce migration risk before the old system is turned off.
Analytics Handoff: Migration Playbook
A practical playbook for moving analytics ownership without losing definitions, trust, or operating context.
Pipeline Freshness: Reliability Field Note
A practical way to define, monitor, and repair freshness before stale data damages dashboard trust.
Backfills: Reliability Field Note
How to rerun historical data safely when migrations, pipeline fixes, or model changes require rebuilding the past.