Join us and see how the combination of Onebridge’s industry-leading consulting expertise and WhereScape Data Warehouse Automation gives you unprecedented insight into, and control over, your data warehouse environment so you can swiftly model, design and prototype data architectures faster than ever and deliver essential insight to the business, future proof your infrastructure thanks to a metadata-driven approach than means you can easily evolve, expand and port to new platforms in future, automatically get full data source lineage, including track back, track forward, and impact analysis to securely meet compliance/regulatory requirements.

Data Literacy is one of the largest factors in your organization's ability to use data effectively. Learn how to speak data with Onebridge. Kelly Ryan, business analyst at Onebridge, covers the human side of understanding data and how organizations can help foster Data Literacy in their own teams. This is one of a series of webinars from Onebridge. Follow us to stay in the know on all our upcoming topics!

Why You Should Never Say “Are You Really a Data Scientist?” Onebridge Solution Architect and Data Analyst William McLellan tackles the controversial debate of what is or isn't data science. He discusses how to take a scientific approach to data and how the empirical method (Listen, Ask, Test, Decide, Act - repeat) applies to the world of data.

If you’re craving a challenge or feeling a little stir-crazy, try giving your brain a little exercise. Now is the perfect time to add to your remote work portfolio by learning some new skills.

With increased financial risk-sharing, fixed budgets and a focus on value-based care, it's critical to use data to address social determinants of health.

How exactly do providers work to deliver more preventative and cost-effective care? Learn more about enabling a data-driven population health program.

Choosing the right data to start with is critical to getting the fastest results from your population health program. We suggest getting started with these data sources.

The key piece of the puzzle is combining data across the entire sequence of care to begin building risk-scoring frameworks.

In this guide, you’ll find core information about data integration that any business user should understand before planning a data integration project.