Retail Analytics Reinvented: From Legacy to Advanced Cloud Analytics

The Value We Bring

  1. Migrated to Snowflake and Power BI seamlessly.
  2. Empowered teams with dynamic BI dashboards.
  3. Scaled Snowflake for tripled data capacity.

The Challenge

  1. Relied on outdated SQL Server and Excel, impeding efficient data management and scalability.
  2. Limited by static reporting, which restricted strategic decision-making capabilities.
  3. Overwhelmed by labor-intensive manual processes that diverted resources from core business activities.

The AI Solution

  1. Transitioned to a Snowflake cloud database, optimising data storage, access, and security.
  2. Implemented Power BI for enriched real-time analytics and engaging visual reporting.
  3. Automated data workflows with robust ETL pipelines, reducing manual intervention by 75%.

The Impact

  1. Cut data report generation time by 40%, redirecting efforts to strategic projects.
  2. Enabled decisive real-time data analysis, cutting decision-making time in half.
  3. Reduced IT operational costs by 30% through streamlined processes and cloud efficiencies.

This case study demonstrates a strategic transformation in retail analytics by harnessing the power of advanced cloud-based solutions. The overhaul not only optimised operational efficiency but also significantly enhanced data-driven decision-making, propelling the company to a new level of competitive advantage in the retail sector.

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