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SAS to Snowflake data migration in 100 days

Apache Airflow
  • Data scattered across two different systems, lacking a centralized repository.
  • Lack of a central data warehouse resulting in data misalignment at the company level.
  • Dependency on third-party data analysis solutions that are time-consuming.
  • Dependency on SaS/Hyperion for in-house data analysis.
  • Delays in accessing data impacting timely and critical decision-making processes.
  • Conducted a thorough analysis of the existing source system to gain a comprehensive understanding and designed a data warehouse accordingly.
  • Implemented the framework from SaS Processes for a faster and more efficient data warehouse implementation, introducing greater dynamism.
  • Integrated SaS processes with Snowflake and Hyperion with Tableau, offering easier data analysis and visualization capabilities.
  • Established a single source of truth for all reports, dashboards, and ad-hoc reporting, ensuring data consistency and accuracy.
  • Achieved an integrated view of data from different systems, consolidating them into a single warehouse for improved data management and accessibility.
  • Enabled timely reflection of sales and revenue data, facilitating quick and informed executive business decisions.
  • Experienced a significant increase in the power and speed of data analytics, enabling faster insights and analysis.
  • Achieved a consolidated company-wide view of various promotions activities within a shorter time frame.
  • Leveraged cutting-edge technology to enhance data management and analytics capabilities.
  • Enhanced accessibility to data, allowing non-technical members of the organization to easily access and utilize data for their respective needs

US based Leading retailer for sporting goods (ecommerce)

The customer had difficulties grappling with fragmented data sources, inefficient data warehousing, and reliance on cumbersome third-party analysis tools.