HealthcarePredictive AnalyticsPublic Cloud

How Bupa Australia Unified Health Data and Accelerated Analytics 8x with Databricks

Bupa AustraliaUnity Catalog · AI/BI · Genie

Bupa Australia consolidated fragmented legacy platforms, accumulated through decades of acquisitions, onto the Databricks Data + AI Platform with Unity Catalog governance, building the Bupa Data Platform (BDP) over a three-year program. BDP powers a governed customer 360 (a 'digital health twin'), a personalization engine sourcing roughly 1,500 data features to power campaign decisioning across millions of customer touchpoints, and predictive health analytics using machine learning models to identify emerging health risks such as indicators of prediabetes, informing personalized preventative health plans, all built on explicit customer consent. Bupa reports consolidating more than 90% of business data onto a single governed platform, delivering data and analytics outcomes over 8x faster than three years prior, and identifying double-digit millions of dollars in opportunity from the transformation.

Overview

Bupa Australia consolidated fragmented legacy platforms, accumulated through decades of acquisitions, onto the Databricks Data + AI Platform with Unity Catalog governance, building the Bupa Data Platform (BDP) over a three-year program. BDP powers a governed customer 360 (a 'digital health twin'), a personalization engine sourcing roughly 1,500 data features to power campaign decisioning across millions of customer touchpoints, and predictive health analytics using machine learning models to identify emerging health risks such as indicators of prediabetes, informing personalized preventative health plans, all built on explicit customer consent. Bupa reports consolidating more than 90% of business data onto a single governed platform, delivering data and analytics outcomes over 8x faster than three years prior, and identifying double-digit millions of dollars in opportunity from the transformation.

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The challenge

As Bupa pursued personalized, preventative care across its services, fragmented legacy platforms made it difficult to govern sensitive health data or deliver a single source of truth. Bupa grew through decades of acquisitions and each business unit had developed its own technology independently, so the same metric could exist in different tables and return a different answer.

The solution

Bupa consolidated data, analytics and machine learning onto the Databricks Data + AI Platform with Unity Catalog governance, building the Bupa Data Platform (BDP) over a three-year program. BDP powers a governed customer 360 (a digital health twin), a personalization engine sourcing roughly 1,500 data features to power campaign decisioning across millions of customer touchpoints, and predictive health analytics where machine learning models identify patterns to inform personalized health plans that anticipate future needs - all operating within the boundaries of customer consent.

Predictive Analytics

Reported business value

Bupa consolidated more than 90% of business data onto a single governed platform, delivers data and analytics outcomes over 8x faster than 3 years ago, and has identified double-digit millions of dollars in opportunity from the transformation.

Sources

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