Smarter product development powered by real-time insights
Anker Innovations unified over 200 terabytes of business, product, marketing and sales data on the Databricks Data + AI Platform, replacing a fragmented AWS microservices setup. Using Delta Lake, Delta Sharing and Unity Catalog, the company enabled 500+ employees to collaborate and produce 1,000+ BI reports and dashboards, and has begun integrating large language models for use cases such as auto-generated SQL commands and code review, with plans to build a generative AI knowledge repository.
Overview
Anker Innovations unified over 200 terabytes of business, product, marketing and sales data on the Databricks Data + AI Platform, replacing a fragmented AWS microservices setup. Using Delta Lake, Delta Sharing and Unity Catalog, the company enabled 500+ employees to collaborate and produce 1,000+ BI reports and dashboards, and has begun integrating large language models for use cases such as auto-generated SQL commands and code review, with plans to build a generative AI knowledge repository.
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Inspect the highlighted sourceThe challenge
Anker's legacy data warehouse required significant DevOps support and left little bandwidth for granular forecasting or generative AI, while chaotic data governance made it impossible for business users, analysts and data scientists to access the data they needed. Every data consumer competed for resources on a single AWS compute cluster, so a failed job affected other teams' jobs, leading to task accumulation and stunted productivity.
The solution
Anker unified over 200 terabytes of business, product, marketing and sales data on the Databricks Data + AI Platform. Delta Lake provides a unified storage layer, OpenSharing makes data available to analytics and business teams, and Unity Catalog governs data access at the table level. The team automated pipeline orchestration from training to deployment via MLflow, and is starting to integrate large language models for use cases like auto-generated SQL commands and code review, with generative AI for a business-facing knowledge repository planned for the future.
Reported business value
Unifying data and AI on the platform fostered collaboration across 500+ employees, who generate 1,000+ BI reports and dashboards, accelerating market-fit analysis, demand forecasting and smart product development.
Sources
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