Client focus
The client is a leading retailer that operates over 1500 stores across Europe under multiple brands.
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Retail Outlets
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Data Sources
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Reduction in load times
Challenges
- The client faced challenges with disparate on-premise data systems and did not have a consolidated view of their products performance.
- The data warehouse currently runs reports in batch mode and takes up to 20 hours for report generation.
- Needed a technology partner who can enable near real time reporting over a cloud based data lake.
- Implement a phased data migration approach without impacting the existing data warehouse model.
Solutions
- Cognine worked with the client team to migrate the legacy data warehouse to Azure cloud to ensure agility and scalability of reporting architectures.
- Data handling: Designed the cloud migration strategy by performing data profiling of all the major on-premise data sources and data warehouse systems.
- A comprehensive data architecture was defined to enable accelerated ingestion and reduce latencies across the value chain
- Technologies: Snowflake was chosen for hosting the data warehouse and data mart. Attunity, a cloud based replication tool was leveraged to accelerate the migration of the on-premise data to Snowflake. Power BI was chosen for visualization, dash-boarding and self service analytics.
Key Benefits
- The new data architectures reduced the processing times from 12 hours to minutes. Usage of Attunity brought down the batch load times considerably.
- Data science teams were provided with flexibility to access data from the analytics work-spaces.