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Opendatasoft’s New Data Lineage Feature Provides Greater Visibility into Data Reuse for Improved Decision-Making

Enables analysis, management, and monitoring of end-to-end data flows.

Note: TDWI’s editors carefully choose vendor-issued press releases about new or upgraded products and services. We have edited and/or condensed this release to highlight key features but make no claims as to the accuracy of the vendor's statements.

Opendatasoft, a specialist in the democratization of data, has launched its advanced new data lineage feature. Delivering detailed analysis of how and where data is being reused, it provides greater visibility into data flows, enabling organizations to improve data governance and accelerate their data democratization strategies.

Organizations understand the importance of data sharing -- both internally and externally -- to increase efficiency, improve performance, and drive innovation. However, currently they lack the tools to manage and report on where data is being reused, adding to workloads and making effective decision-making difficult.

In response to these data governance challenges, Opendatasoft has developed its data lineage feature that it provides detailed information about how data is being reused and the relationships between individual data sets.

The data lineage feature maps data flows end-to-end, providing a complete dashboard of data usage within the data portal back office. This enables organizations to improve the governance and quality of their data, better understand user needs, and report on the value and return on investment of their data portals.

Available directly in the back office of the Opendatasoft platform for all customers, the new data lineage feature delivers:

Detailed mapping of data paths

  • Visualizing the data set journey from its creation to final destination
  • Providing actionable information on its origin and its internal and external reuses

A complete dashboard of every data reuse

  • Providing automatic analysis and management of the dynamics of the data portal
  • Tracking key performance indicators, such as the number of reuses, the status of relationships, interdependencies with other portals, and the most- and least-used data sets

To learn more about the data lineage feature visit

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