A guide to building a modern governed data platform
Drive business outcomes with data analytics for financial services
Deloitte and Databricks share how organizations can capitalize on artificial intelligence (AI), machine learning, and hyper-personalization by establishing efficient, effective, and modern financial services data analytics that drive business outcomes and maintain a competitive edge.
Four data modernization challenges. One unified approach.
Finance leaders across insurance, banking, and real estate/investment management can read our report to learn how to identify and solve four key challenges to financial services data analytics. Readers will also see how Deloitte’s experience paired with the Databricks Data Intelligence Platform can:
- Create an outcome-oriented strategy
- Align stringent data controls with key business outcomes
- Develop a new data model for the cloud
- Configure data governance, data quality, lineage, and security in the cloud
To stay on the vanguard of change, organizations require a data, analytics, and AI platform that equips them with advanced tools and capabilities that drive informed, data-driven decisions—all while putting in place controls to ascertain the efficacy of their data.
— A financial services leader’s guide to building a modern governed data platform
A financial services leader’s guide to building a modern governed data platform
Deloitte and Databricks alliance
Unifying data, analytics, and AI workloads
