Near Real-Time ERP Data Analysis Creates Transparency Across the Value Chain

Challenge: Limited Use of Existing ERP Data

EDEKA Südwest Fleisch manages a complex production and supply chain based on extensive ERP data. While the data existed, its usability was limited. Analyses were primarily performed via static reports or large Excel files delivered at fixed intervals. Generating custom insights required additional coordination, slowing down decision-making processes.

Solution Approach: Central Data Repository and Self-Service Analytics

To better leverage the available data, a business intelligence solution was implemented. A data warehouse was created to relieve the ERP system, feeding data into Qlik Sense. Additional relevant data sources were also integrated. Data is now automatically updated multiple times per day.

Simultaneously, business units were trained to independently create and refine analyses. Today, responsibility for reports lies largely with the controlling team, in close collaboration with operational departments.

Results: Greater Transparency and Faster Decisions

The new solution has significantly increased transparency across the value chain. Around 80 users access numerous reports, which can be analyzed flexibly across various dimensions. The high data currency enables early detection of trends and informed decision-making. For example, production planning can immediately identify deviations in key metrics and take corrective action.

Business Impact: Increased Efficiency and Improved Management

EDEKA Südwest Fleisch benefits from a significantly improved data foundation for company management. Decision-making processes have been accelerated, manual effort reduced, and Excel-based reporting largely replaced.

The solution also lays the groundwork for sustainable, data-driven development of the organization. Expansion of the BI landscape is already planned to integrate additional business areas into the analytics environment.

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