Audika case study | Google Cloud
Use case typeConversational analyticsUpdated Jun 21, 2026
Audika, Demant’s Hearing Care division, implemented Looker to create a modern self-service data environment that democratizes access while preserving global governance for dashboard logic. A semantic layer centralizes definitions so local teams can customize dashboards without breaking core logic, and a pilot plus repeatable onboarding playbook helped scale adoption across 10 markets and 3,000+ users. The organization also established a governed data foundation to support future Vertex AI predictive modeling and conversational analytics.
- Organization
- Audika
- Industry
- Healthcare
- Location
- Australia
- Published
- June 2026
Reported outcomes
Strategic outcomes
Innovation & cultureDemocratized access to governed dashboardsScale & capacityScaled governed analytics across 10 markets and 3,000+ usersEmployee experienceFrontline staff use dashboards daily for patient careOther strategic outcomePositioned for predictive and conversational analytics
Primary read
Use case focus
Showing 2 of 2
- 1Conversational analytics
- 2Data platform modernization
- Democratize data access across global markets while maintaining governance for dashboard logic.
- Enable frontline teams to review outcomes and plan care.
- Implemented Looker with a semantic layer to centralize definitions and govern dashboard logic.
- Used a pilot and structured onboarding playbook with local champions to scale adoption across markets.
- Established a governed data foundation for future Vertex AI predictive and conversational analytics.
- Reduced technical debt.
- Enabled daily dashboard use by frontline clinic staff.
- Created a governed data foundation for future AI-driven analytics.
Sources & evidence1
Groundedness: 5/5Type: Customer StoryPublished: Jun 21, 2026Publisher: Google CloudEvidence: PrimaryConfidence: High
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