All-in-one data team built for seed-to-b-round health tech startups. Data engineering, data science, ML & GenAI, BI, 3rd party data integrations.
GOOD DATA STUDIO
Let’s make use of all that data you have.
We use data to have an impact in healthcare.
We weave together data from across your company: your in-house database, SalesForce, that source of truth Google Sheet your HR team maintains, and more into one cohesive data warehouse to tell a story, automate how data flows between your many systems, perform cross-cutting data science analyses, and build a world class reporting suite.
We do analysis to support fund raising and to support senior leadership. We perform analysis that help engineering teams prioritize which feature to build, support your line managers with real time insights about their team’s performance, and ensure that there’s a smooth transition when we stop working together.
We can bring one part time data engineer or a whole team to support you.
Some of the services we offer
Data Engineering
Data warehouse and ETL setup, CI/CD, and “reverse ETL” to bring insights from the warehouse into other software.
Marketing attribution
Identify which marketing campaigns are working and where to invest deeper.
Data security & governance
Ensure that only the right people have access to the PHI necessary for their work.
Clinical outcomes analyses
Measure the outcomes of your clinical programs, use data to tell the story about how your clinical team reduces cost and supports patients.
Actuarial intelligence
Our actuaries can support pricing analysis, risk stratification and benchmarking of a population, and work seamlessly with the data team.
3rd Party data integrations
Assess and negotiate contracting with external data vendors, bring 3rd party data into the warehouse, and crosswalk internal to external data.
We solve problems.
Bringing proof to your performance.
Lots of data, no visibility. You’ve built a clinical program that improves patient outcomes and saves payors money, but you can’t back up this story with data.
Too many reports, mismatching KPIs, no source of truth. You hired a data analyst and gave them access to Looker, you’ve got a big pile of dashboards and KPIs but they don’t seem to be used or trusted by the team.
Uninformed product decision making. Some product decisions are obvious or based in your values, others become mired in differing of opinions without facts to ground the conversation.