DATA CLEANUP & INTEGRATION
Before you can trust your data, you have to fix it. Most businesses I work with have the same problem: years of records spread across systems that were never designed to work together, duplicate entries no one has time to reconcile, and fields that should match but don't. It's not a failure — it's the natural result of a growing business that's been focused on running, not organizing. I clean it up, connect it, and give you a foundation you can actually build on.
What you get
Data auditing
I start by mapping what you have, where it lives, and what condition it's in. Duplicate records, missing fields, inconsistent formats, orphaned entries — I document every issue before I touch anything so you know exactly what's being fixed and why.
Record standardization
Company names that don't match across systems. Contact information that's outdated or incomplete. Product categories that mean different things in different tools. I use AI-assisted matching to catch the fuzzy duplicates and near-misses that rule-based cleanup won't find, then normalize your records so the same customer looks the same everywhere.
System integration
Your POS, CRM, accounting software, and marketing tools each hold a piece of the picture. I build the connections between them — automated data pipelines that keep everything synchronized without manual exports and imports.
Data migration
Moving to a new platform? Merging data from an acquisition? I handle the extraction, transformation, and loading so nothing gets lost, corrupted, or mismatched in the transition.
For businesses that know their data is a mess
You don't trust your own numbers. Someone pulls a report and the totals don't match what you see in another system. So you second-guess everything, or worse — you stop looking at the data altogether.
You've outgrown your setup. What worked when you had 50 customers doesn't work at 500. Your spreadsheets have tabs referencing other tabs referencing other spreadsheets, and nobody's sure which version is current.
You're about to invest in analytics or dashboards but your data isn't ready. You know you need better reporting, but every tool you try produces garbage because the underlying data is inconsistent. You need the foundation fixed first.
From chaos to a single source of truth
A typical cleanup engagement starts with a 1–2 week audit. I connect to your systems, profile the data, and deliver a findings report that lays out every issue in plain language — not a spreadsheet of error codes, but a clear picture of what's wrong and what it's costing you.
From there, the cleanup itself usually runs 3–6 weeks depending on volume and complexity. I work in stages — standardizing records, deduplicating, filling gaps, and building validation rules that prevent the same problems from creeping back in. You review and approve each stage before I move to the next.
For integration work, I build automated pipelines that keep your systems synchronized going forward. The goal is a setup that maintains itself — not one that needs me to come back every quarter.