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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

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A financial services leader’s guide to building a modern governed data platform

       

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

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Deloitte and Databricks alliance

Unifying data, analytics, and AI workloads       

Get in touch

  • Jojy Mathew

    Jojy Mathew

    Principal
    Deloitte Consulting LLP

    Contact
  • Cindy MacFarlane

    Cindy MacFarlane

    Managing Director
    Deloitte Consulting LLP

    Contact
  • Intikhab Syed

    Intikhab Syed

    Databricks Alliance Sales Lead
    Deloitte Consulting LLP

    Contact