Tennessee Data Lab

The Work

Representative engagements across the work we ship. Names are held in confidence. The problem and the outcome are the parts worth reading.

Data Engineering

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Finding the Revenue That Was Already There

Revenue growing on the top line but not reaching the bottom. Collections lagging with no clear picture of where the gap was or how large it had grown.

Outcome

Revenue gap identified and quantified. Recovery began within two billing cycles.

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Getting Data Out of Systems That Don't Have APIs

Core software with no API, no clean export, and no integration options. Every vendor said the only path forward was a full system replacement.

Outcome

Full automation achieved without system replacement or migration cost.

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Building a Data Stack From the Ground Up

Data spread across a CRM, billing system, operational platform, and spreadsheets maintained by three different people, with no unified view of any of it.

Outcome

Single source of truth established. Operational questions answered in seconds, not days.

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Transaction Support

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Getting a Business Sale-Ready

A group of independently-run businesses, profitable for years but with books built for tax purposes, not for a buyer. No normalized earnings, no documented add-backs, no defensible number anyone could underwrite.

Outcome

Owners entered buyer conversations with a defensible number and organized documentation.

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Preparing the Data Room for a Transaction

Strong business performance, but the proof scattered across multiple systems. No organized data room a buyer could navigate efficiently.

Outcome

Organized data room and financial narrative delivered. Transaction process completed without delays.

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Workflow Automation

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Automating the Admin Work That Was Slowing Everything Down

Significant staff time each week going to confirmations, follow-ups, reconciliation, and data entry between systems that did not talk to each other.

Outcome

~20 hours/week of manual work eliminated in the first month. Cumulative work replaced what would otherwise have required a six-figure analyst hire.

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Operational Performance

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Building Reporting That Actually Gets Used

Monthly performance updates assembled by hand, taking days each time, always slightly wrong. The ownership group had no reliable view of the business.

Outcome

Monthly reporting cycle reduced from days of manual assembly to fully automatic. Real-time ownership visibility.

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Turning Operational Data Into Decisions

Data in the systems, but no reliable way to surface it, compare it across locations, or track it over time. Leadership was making decisions by feel.

Outcome

Two previously invisible underperforming areas identified and addressed within 90 days.

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