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Data Becomes Usable Only When it’s Structured.

Snowflake Enables A Macro View Of Your Entire Data Universe.

Groupsoft’s deployment of Snowflake (including Snowflake Analytics, Data and Database) brings together structured and semi-structured data from different sources and channels to gain a universal view of your business and customers.

This enables you to eliminate bottlenecks and support all the different reporting and analytics needs by empowering all users and workloads with live data access and consistent performance.

This in turn means you can save time and resources with a near-zero maintenance solution that’s simple to use and cost-efficient, and share data easily and securely with internal data consumers and external partners while remaining compliant with built-in security that support SOC 1 and 2 Type 2 and PCI DSS requirements.

What this means for you

Retail and Wholesale

  • Perform in-store and regional reporting on performance and inventory levels
  • Analyze and share promotional data with CPG partners
  • Reduce costs related to product waste and staffing

Consumer Packaged Goods

  • Increase revenue through targeted marketing and in-store execution
  • Integrate shopper, retail, social media, and advertising data to understand consumer trends
  • Exchange data with retail and advertising partners

E-commerce

  • Track and analyze buying processes and shopping cart abandonment
  • Offer real-time recommendations and promotions
Groupsoft Services

Snowflake Solution Consulting

Data Platform Configuration and Data Modelling Integration with tools and applications. Leverage Snowflake’s flexibility to deliver contextual insights.

Data Warehouse Design and Modelling

Data Strategy, Data Warehouse Design as per the Analytics Architecture. Data Modelling. Performance focused design.

Snowflake Implementation

Transitioning to a new Snowflake Data Warehouse. Modify existing ETL (Extract, Transform, Load) workflows. Optimize your Data Warehouse and SQL. Build Snow pipes for data ingestion.

Data Warehouse Architecture

Data Sourcing & Acquisition. Clean-up and Transformation Tools. Meta Data, Query Tools. Reporting / Analysis / Mining tools.

Data Warehouse Migration

Planning, Conversion, Migration and Data Ingestion.

Our Approach

  • 1

    DETERMINE the optimal size for the structured data to support data loading

  • 2

    DESIGN the Data Warehouse to plan for any changes in the future. Configure and Test in the Dev System to avoid untested deployment

  • 3

    OPTIMIZE the data retrieval process and enhance performance, by segmenting the data and aligning users with overlapping queries in the same virtual data warehouse.

  • 4

    SCALE OUT AND SCALE IN: Consider number of clusters, autoscaling and the scaling policy based on which Snowflake would automatically adjust based on user queries, with automatic clustering during peak and off peak hours as needed.

Insights
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