Start At Zero
Start at Zero is a conversation-first podcast about what it actually takes to modernize technology, build a business from scratch, and make sense of AI without the hype. Episodes range from focused 15-minute interviews with government leaders and tech founders to longer deep dives where I walk through what I'm building in real time - the AI agents, the automation stack, the hard lessons from 20 years of consulting.
The tone is direct and honest. I don't do scripted questions or softball setups. I want the story behind the story - what went wrong, what you'd do differently, what nobody in the room was willing to say. Guests should expect a conversation that feels like two people working through a real problem together, not a performance.
Topics include government technology, AI in the real world, entrepreneurship, consulting, procurement, and the messy intersection of all of them. Some episodes are interviews, some are just me thinking out loud about something I built or broke that week.
If you've got a real story - something you built, something that failed, a lesson that cost you - you'll fit right in here. I'll send a loose topic outline beforehand, but the best episodes happen when we go off-script.
Start At Zero
Dirty Data: Why Legacy ERP Migrations Fail Before They Start
Use Left/Right to seek, Home/End to jump to start or end. Hold shift to jump forward or backward.
Your data is dirty. Not because your staff is careless — but because legacy systems were designed to be forgiving. Over decades, phone number fields became notes, dates changed meaning, duplicates piled up, and rules were quietly broken to keep operations moving.
The problem is what happens next. Agencies try to lift that data straight into a modern ERP and are shocked when the system rejects records, reports fail, billing breaks, and audits don’t balance. That isn’t a software failure. It’s a data hygiene failure.
This Untangled episode breaks down why “lift and shift” migrations collapse, how semantic drift corrupts history, and the four-step data hygiene protocol agencies must follow before selecting a vendor. Data cleanup isn’t glamorous — but it’s the difference between a smooth go-live and a public disaster.
#UntangledPodcast #GovernmentIT #ERP #DataMigration #PublicSectorTechnology
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