Data & analytics support for growing service businesses without a data team.
What We Do
Changepoint Analytics helps healthcare practices, financial services firms, and professional services teams make sense of their operational data — without hiring full-time analytics staff. Whether the problem is reporting that takes a day to produce manually, numbers leadership doesn’t trust, or decisions made on gut instinct because the data isn’t organized, we scope a project, build the solution, and hand it off so your team can use it.
Services
Data & Reporting Diagnostic Not sure where to start, or whether your data is even in shape for a bigger project? A focused scoping engagement that reviews your current reporting, identifies gaps, and produces a clear recommendation — low commitment, concrete output.
Executive Dashboard System One place where leadership sees the numbers that actually drive decisions — revenue, volume, utilization, or whatever matters in your business. Built on your existing data, designed to be used daily, not just at the end of the quarter.
Forecasting & Planning Models Revenue forecasts, patient or client volume projections, staffing models, and scenario planning tools. Built to be explainable to non-technical stakeholders and updated as your data changes.
Automated Reporting & Data Pipelines If someone on your team spends hours every week pulling together a report that could run automatically, that’s a pipeline problem. We replace manual Excel workflows with automated, reliable processes.
Advanced & Regulated Analytics Healthcare claims analysis, model validation, AI pilots, and work requiring SR 11-7 or CMS compliance standards. This is the deeper technical layer for organizations in regulated environments.
Why Changepoint Analytics?
- No full-time hire required — You get senior-level analytical work scoped to a specific problem. No recruiting, no onboarding, no ongoing salary commitment. The engagement ends when the deliverable is done.
- Built for people who aren’t data teams — Outputs are designed for operators, not analysts. Dashboards your team will actually open. Reports they can explain to a board. Documentation that doesn’t require a data science degree to maintain.
- Regulated-industry depth — Production AI in healthcare (LLMs, prior authorization, EHR data), risk model validation at a regional bank (SR 11-7), Medicare quality analytics at a national QIO, and peer-reviewed public health research. The technical credibility is there when the project requires it.
How Engagements Work
Most projects follow the same pattern:
- Diagnostic conversation — We review your data, reporting setup, and what decisions you’re trying to make. This is free and takes 30–45 minutes.
- Scoping engagement — A short, fixed-price engagement to audit your data and produce a concrete recommendation. Low commitment, clear output. Often the right first project.
- Fixed-scope project — Typically 2–8 weeks. A defined deliverable: a dashboard, a model, an automated pipeline. You know the scope and cost before we start.
- Optional follow-on support — Some clients want periodic updates or a second project. That’s available, but it’s never the default assumption.
We’re not a large agency and we’re not pitching a six-figure transformation. Most engagements start small and expand only if the first project delivers.
Start with a Diagnostic Conversation
Not sure if your data problem is solvable, or whether it’s worth the investment? Start with a short conversation. We’ll look at your reporting setup, understand what decisions you’re trying to make, and tell you honestly whether we can help — and if so, what that would look like.