  Data Mesh and SAPDownloadWhy and how you should mesh your data using the SAP Business Technology Platform
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Enhanced decision-making through data-driven processes.Monolithic, centrally organized data platforms, organizational bottlenecks, and critical gaps between experts and the relevant information they need. Data Mesh concepts provide a remedy. Particularly well-suited for this form of data management is the SAP Business Technology Platform (SAP BTP). |
Scalable and flexible data architectures tailored to the needs of different business domains and applications - that's the fundamental idea behind Data Mesh. The approach aims to distribute the responsibility for enterprise data to domain-specific teams rather than managing it centrally. This enables companies to optimize their data infrastructure, improve data quality, and accelerate data processing, resulting in faster decision-making and better utilization of data potential. SAP and, in particular, the BTP, support Data Mesh concepts in various ways. This helps companies transform their data landscape into a modern, flexible, and scalable ecosystem with clear governance guidelines. In our whitepaper, "Data Mesh: Why and how you should mesh your data using the SAP Business Technology Platform," we showcase best practices, success stories, and the unique strengths of the BTP for advanced Data Mesh architectures. |
83% plan to adopt a Data Mesh concept or parts thereof. 54% say that data quality is the biggest challenge related to Data & Analytics. Only 8% offer all employees the opportunity to independently create data analyses. 3 out of 10 companies see the absence of a Data Mesh strategy as a critical challenge. |
The significance of enterprise data has undergone drastic changes in recent years. This transformation also calls for a reconsideration of organizational principles - Data Mesh offers a practical approach that addresses many of the new challenges.  |
Take the opportunity to explore the whitepaper and gain insights into how SAP BTP accelerates the transformation into a 100% data-driven organization with a Data Mesh architecture. |
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