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What a 7-month sales cycle, a flat startup culture, and a healthtech AI client taught me about trust, patience and closing deals that actually compound. February has been the most electric month in Steinert Analytics history. We closed and kicked off a brand new healthtech AI startup client — and from the first call, I knew this engagement was built different. Not because of the scope. Not because of the contract size. Because of what 7 months of relentless sales pipeline wor

How to turn a CFO’s data quality brain dump into one clear KPI and one actionable project Last week, I did an intense data discovery session with a CFO that’s been dealing with data quality issues. Truth be told, this company is not ready for a data transformation (check out my article from December  on knowing if a company is ready for a data warehouse or not). Core sales processes are working, but manually tie back to Google Sheets. The workflows set up in their accounting

I was building data products for everyone except the people who mattered most—here's how I course-corrected I’m stoked to be back writing in the new year. 2026 is off to an incredible start and it gives me chills to think about the progress we’ve made in the last year at Steinert Analytics. We’ve dropped two episodes of The Healthcare Growth Cycle Podcast  in the month of January. They’ve been well received. On the business development front, the first two weeks of 2026 kicke

Real experiences delivering exceptional value as a data consultant—no fluff A few months ago, I wrote about a broken pipeline that cost my client days of downtime. Their financial reporting system broke, and I was directly responsible. I enhanced the client’s trust through 100% transparency and took action on a fix. The low-code data pipeline solutions we use with this client are buggy (to say the least). Truthfully, there’s no foolproof way to guarantee these pipelines run 1