Building data products in a data mesh to drive business value
A guide to designing scalable, trusted and reusable data products thatunlock agility and innovation
Traditional data management models, such as centralised data warehouses or data lakes, often delay delivering real-time, domain-specific insights to business teams. These monolithic systems create bottlenecks, increase operational risk, and impact decision-making, an organization’s ability to innovate or scale analytics initiatives.
Adopting Data Mesh and data-as-a-product principles can help enterprises decentralize data access with accountability, governance and speed. Such an approach ensures that data is reliable and actionable for business growth.
What you’ll learn in this whitepaper:
- How treating data as a product drives accountability, quality, and usability across the enterprise
- Key organizational, operational, and technical considerations for scaling Data Mesh effectively
- Step-by-step blueprint for designing trusted data products at scale
- Common pitfalls to avoid and best practices to drive adoption and long-term success
