Pragmatism in Practice Revolutionizing data: How PAYBACK transformed with data mesh
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Dec 9, 2024 Norbert Wirth, VP of Data at PAYBACK, a leader in loyalty marketing, shares insights on revolutionizing data management. He discusses how transitioning from a centralized data warehouse to a data mesh framework has sparked innovation. By empowering multidisciplinary teams and leveraging cloud technology, PAYBACK enhanced collaboration and data accessibility. Wirth highlights the crucial role of effective communication and training during this shift, ensuring all stakeholders embrace this transformative approach for better customer insights.
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Centralized Data Bottleneck
- Payback's central data warehouse and big data cluster became a bottleneck, slowing down change requests.
- This complexity made data assets risky to modify, hindering innovation and frustrating business colleagues.
Data Mesh as a Natural Choice
- Payback's shift to a product-centered structure necessitated a data operating model that aligned with holistic product ownership.
- This realization, coupled with the bottleneck issue, made data mesh a natural choice, despite limited external examples.
Prioritize Platform and Discoverability
- When implementing data mesh, prioritize the platform aspect by providing a toolbox of approved tools to maintain control and prevent chaos.
- Ensure early implementation of a data catalog for discoverability, especially in data-heavy organizations.