Reltio Named a Leader among Machine Learning Data Catalogs By Independent Research Firm
Report gives company highest possible scores for Machine Learning, Growth, Stewardship & Governance, Collaboration, Security and Planned Enhancements criteria.
According to Forrester’s report, Now Tech: Machine Learning Data Catalogs, Q1 2018, an MLDC is a “machine-learning-powered metadata catalog and policy processing engine that profiles, defines, and maintains semantic, logical, and physical models and traits of data within a data fabric for activation within systems of insights.”
To assess the state of the MLDC market and see how the vendors stack up against each other, Forrester evaluated the strengths and weaknesses of top MLDC vendors. After examining past research, user need assessments, and vendor and expert interviews, Forrester developed a comprehensive set of evaluation criteria.
The Forrester Wave™: Machine Learning Data Catalogs, Q2 2018 evaluates 12 providers on 29-criteria of machine learning data catalogs (MLDCs). This report shows how each provider measures up and helps enterprise architecture (EA) professionals make the right choice.
According to the Forrester Wave report, “combining ML with collaboration and activation scales out data understanding and speeds up use. Thus, MLDCs are demonstrating ROI in many cases within four weeks. Additionally, ML provides certain insights from data as part of its analytic process that previously required an analyst to see facts, trends, and causal relationships”.
The report notes that ”The only master data management (MDM) vendor in this evaluation, Reltio continues to show that labels don’t always tell the full story. By building an MDM capability on ML, graph, big data, metadata, and services, Reltio was a data catalog all along. “
The report declares “Combining ML with collaboration and activation scales out data understanding and speeds up use. Thus, MLDCs are demonstrating ROI in many cases within four weeks.”