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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

The readiness checklist that separates strategic investments from expensive mistakes Data consulting leads to interesting experiences. Those often involve a range of companies with large variations in tech and data maturity. If there’s one thing I’m learning, it’s knowing how to spot if a company even needs your services in the first place. At Steinert Analytics, we specialize in building data infrastructure and governance programs for mid-market and scale-up healthcare orgs

Why your brownfield data migration is probably doomed (and how to fix it before writing a single line of code) One month. That’s how long a single report migration dragged on because we dove straight into development without asking the right questions first. And it was completely avoidable. I realize this newsletter needs to provide value to healthcare data leaders in the mid-market and scale-ups. As a consultant, I often share perspectives from client projects—the wins and t