How enterprise data teams ship with OpenOntos.
Real migrations, real outcomes, measured in weeks, dollars, and reporting latency.
How a multi-banner specialty grocer modernized its data foundation in 60 days and saved $500K annually.
Heritage Grocers Group consolidated multiple acquired banners onto a governed Microsoft Fabric lakehouse in 60 days, processing 3B item transactions and 1.3TB of historical data, and cut annual operating costs by more than $500K.
How Canada Goose unified customer data in 90 days and accelerated personalized marketing across every channel.
Canada Goose consolidated 10+ customer-facing platforms into a governed Microsoft Fabric Customer 360 in 90 days – saving ~$800K CAD against a competing vendor proposal and cutting campaign deployment time by 75%.
How the Ontario Medical Association built a governed AI-ready data platform in 4 months with just 3 engineers.
The Ontario Medical Association modernized its enterprise data foundation on Microsoft Fabric OneLake in 4 months, delivering 16 production-ready Gold Layer use cases in 60 days and saving more than 6,000 engineering hours.
How Advanced Energy simplified complex SAP and Oracle data environments for faster operational intelligence.
Advanced Energy used OpenOntos' AI-assisted Data Lake Accelerator to decode years of SAP and Oracle complexity into simplified operational analytics on Databricks, delivering 3× faster with a leaner engineering team.
How HAVI unified global supplier and product data to automate performance reporting across regions.
HAVI consolidated multi-region supplier, product, and inventory data into a single governed Azure Databricks platform, embedding KPIs directly into pipelines and automating global supplier performance reporting at scale.
How AirSprint built a modern AWS Redshift analytics platform in weeks instead of months.
AirSprint unified flight, maintenance, finance, and utilization data into a governed AWS Redshift platform in weeks, delivering three production-ready operational use cases and real-time fleet visibility for the first time.
How Raley's moved from slow legacy reporting to real-time retail intelligence on Databricks.
Raley's modernized its retail analytics by migrating Oracle POS and sales data into a Databricks lakehouse with a unified enterprise sales transaction model, delivered in 4 weeks with near real-time access for merchandising and supply chain teams.
How Home Hardware unified store, SKU, and supplier data into a modern lakehouse platform in just 90 days.
Home Hardware unified three disconnected legacy systems into a Microsoft Fabric Medallion lakehouse in 90 days, delivering 4× faster than traditional timelines and cutting manual ETL effort by 80% across stores, SKUs, and suppliers.