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Case Study

Empowering Data-Driven Decisions – Transforming SAP Analytics with Delta Lake Architecture

No of Users

15+

Project Duration

8 Months

About Client

Our client is a globally recognized brand in the beverage industry, known for its carbonated soft drinks and a wide range of other beverages. With a presence in over 200 countries, the brand continues to innovate, diversify its product offerings, and focus on sustainability and health-conscious alternatives to meet the needs of a global and health-aware consumer base.

Technology and Services

PySpark, Data factory, Data Bricks, ADLS gen2, SQL, Data ingestion tool, ICEDQ, Dev ops for PR creation

Industries

Sales

“The transition to Delta Lake has been a game-changer for us. Not only did we improve performance and system efficiency, but our regional teams now have faster access to the insights they need. The collaboration with the implementation team was seamless, and the results speak for themselves.”

— Senior Data Manager, PepsiCo

80%

Reduction in Query Processing Time

60%

Faster Decision Making

Project Synopsis

The client needed faster, more flexible analytics from their SAP-stored regional data. Running complex queries directly on SAP caused performance issues. We migrated the data to a Delta Lake architecture using Azure tools and Databricks, enabling efficient, scalable analytics. This empowered teams to generate insights and dashboards without training the SAP system, significantly improving performance and decision-making.

The Challenge

  • High server load when running complex queries on SAP data.
  • Slow performance and delays in generating analytics reports.
  • Lack of scalability for advanced analytics and machine learning use cases.
  • Limited flexibility in regional data analysis for stakeholders.

The Solution

  • Migrated SAP data to a scalable Delta Lake architecture.
  • Used Azure Data Factory, Databricks, and ADLS Gen2 for efficient data ingestion and storage.
  • Enabled Data Science team to run predictive and exploratory analytics without SAP dependency.
  • Built interactive Power BI dashboards on Delta Lake for real-time insights.
  • Implemented ICEDQ for data quality checks and DevOps for streamlined PR creation.

The Result

  • 80% reduction in query processing time compared to SAP system reports.
  • Improved system performance by minimizing direct access to SAP for analytics.
  • Faster decision-making through real-time dashboards and insights powered by Power BI.
  • Scalable data infrastructure that supports advanced analytics and machine learning cases.
  • Enhanced stakeholder satisfaction with more flexible and in-depth regional data analysis.

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