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Analytics Migration & Modernization

Moving off fragmented reporting systems, outdated tools, or expensive third-party platforms is one of the highest-ROI projects a data team can take on. I've led two-year enterprise migrations. I know where the hidden costs and risks are, and how to move without losing data or trust.

The Problem

Legacy reporting stacks are expensive, rigid, and painful. You're on multiple platforms (Looker, Qlik, hand-built spreadsheets) with no single source of truth. Migrations scare you because the last one cost months and broke things.

What You Get

A migration plan that treats data consistency as non-negotiable

End-to-end ETL rebuild in your target stack (BigQuery, Azure, Snowflake, etc.)

Reconciliation and validation at every step so you know data is correct

Training so your team owns the new stack post-migration

A data governance foundation so the next migration is easier

Relevant Work

Questions

How do you handle data validation during a migration?

Every field is reconciled row-by-row against the source. Row counts, sums, dates, null patterns - all verified before cutover. I build automated tests you can re-run post-launch.

What if we are using multiple data sources?

That's the norm. I design a unified ingestion layer pulling from Salesforce, GA4, your data warehouse and custom APIs. The work is in orchestration and conflict resolution.

Can we run old and new stacks in parallel during migration?

Yes. We can run both for weeks or months, gradually shifting reports over. This is often essential for large teams to maintain stability.

Ready to get started?

Let's talk about how this service fits your needs. Book a call or send a message.

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