Exposing data platforms as data products is crucial to reduce redundancy and democratize data for several reasons:
- Single Source of Truth: By providing a unified data platform, you create a single source of truth, reducing data redundancy and inconsistency across various systems.
- Data Discovery: Exposing data platforms as products enables easy data discovery, allowing users to find and access the data they need without relying on multiple, disparate sources
- Enhanced Accessibility: Data products make data more accessible to a broader audience, promoting data-driven decision-making across the organization.
- Data Reusability: By making data platforms accessible, you promote data reusability, reducing the need to recreate or duplicate data efforts
- Data Democratization: Democratizing data access empowers various teams and users to utilize data, fostering a data-driven culture and reducing dependency on people and breaking the siloed approach
- Consistency and Accuracy: Standardizing data as products ensures that all users are working with the same information, enhancing the consistency and accuracy of data across the organization.
- Efficient Data Management: Exposing data platforms as products facilitates better data management, enabling data governance, quality control, and security.
- Innovation and Collaboration: By providing accessible data platforms, you encourage innovation, collaboration, and the development of new data products and services.
By transforming data platforms into data products, organizations can create a data-driven ecosystem that promotes efficiency, collaboration, and innovation. This approach reduces redundancy and democratizes access to data, driving better outcomes and fostering a culture of continuous improvement.
Agree, Data products are specifically designed for end user and stakeholders requirements.
Data Analytics at Mercedes-Benz
8 个月Very nicely written Madhusmita. ??