• 99% Accuracy in reducing variance
  • 80% improvement in Account Receivables
  • 70% optimized inventory costs

Overview of the Client

Our client is an American Investment Holding Company, and they own one of the largest global producers of aluminum beverage cans. With manufacturing plants in 12 countries, they have built a formidable distribution network.

Overview of the Client

Business Challenges and Objectives

  • Develop a data and analytical solution to create a 360-degree customer view by integrating diverse SAP systems, non-SAP ERP systems, and external data sources onto a unified platform.
  • Establish a user-friendly Semantic Layer (single pane of glass) for efficient data analytics, utilizing it to derive valuable business insights focusing on customer 360 perspectives.
  • Integrate data streams encompassing invoice, delivery, production, inventory, and accounts receivable from SAP S4 HANA and ECC systems alongside non-SAP systems, providing customers with a comprehensive 360-degree view.
  • Overcome the challenge of scattered data across SAP and non-SAP systems, enhancing data accessibility to improve operational efficiency.
  • Address the client’s requirement for a solution capable of constructing a sales budget planning framework while seamlessly integrating with the overarching customer 360-degree view.

The Solution

  • Deployed a cloud analytics solution on Azure, extracting data from SAP and non-SAP systems for comprehensive integration.
  • Employed Azure Synapse workspace to transform and integrate data across the system.
  • Developed a comprehensive Customer 360 dashboard using PowerBI.
  • Created business views for Invoice, Delivery, Production, Inventory, and accounts receivable data, seamlessly feeding into the Customer 360 dashboard.
  • Expanded the solution to include a framework for sales budget planning.
  • Integrated sales budget planning into the Azure solution, establishing a corresponding business view to contribute to the Customer 360 dashboard.

Business Outcomes and Benefits

  • Achieves 99% accuracy in reducing variance between planned and actual sales data, coupled with an 80% improvement in account receivables.
  • Optimizes inventory costs by 70%.
  • Ensures 95% accuracy in production planning, resulting in a 15% reduction in production costs.
  • Provides a unified view of customer transactions across diverse geographies and integrates ERP systems.
  • Efficiently manages customer delivery despite data being dispersed across multiple systems.
  • Enhances production planning for improved responsiveness to customer demand.
Business Outcomes and Benefits

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