AI is Making Life-Changing Choices—Can You Trust the Data Behind It?
When AI makes life-altering decisions—who gets care, a mortgage, or a second chance—you can't let flawed, unchecked, or unethical data decide.
Paige Bartley sheds light on the evolving dynamics in data management and how Metaphor revolutionizes metadata management and collaborative data cataloging.
Decentralized data ownership and collaboration have gained significant prominence in the rapidly evolving data utilization and management landscape. A recent market report by Paige Bartley in S&P Global Market Intelligence titled “Coverage Initiation: Metaphor Data does not mince words with its social vision for metadata management” sheds light on the evolving dynamics in data management and how Metaphor revolutionizes metadata management and collaborative data cataloging.
“Organizations that utilize data mesh methodology or similar decentralized data utilization frameworks depend heavily on sharing of institutional knowledge and collaboration around data subject matter expertise.” - Paige Bartley, Senior Research Analyst, Data, AI & Analytics, 451 Research, part of S&P Global Market Intelligence 1
Many organizations are adopting decentralized data ownership models, with 65.4% of respondents having a dedicated data engineering function. However, only 47.8% report having a data steward role. This underscores the need for collaboration across roles and teams.
Metaphor Data is pioneering a unique approach to metadata management with a highly consumerized user experience (UX) and collaborative data management features. The company aims to empower business users to enhance data consistency, reliability and maximize data's potential for analytics and insights.
With the increasingly crowded metadata management market, Metaphor distinguishes itself by emphasizing collaborative feedback loops and worker productivity. The consumerized UX appeals to enterprise end users, who play a growing role in IT procurement.
Metaphor's social data catalog aligns well with organizations adopting data mesh methodology. It enables data evaluation for relevancy and trust, sharing institutional knowledge, and fostering collaboration around data expertise.
Data management functions is a team sport that require coordination across roles and teams, tapping diverse individuals for subject matter expertise.
Data management efforts, and especially data governance efforts, cannot succeed if they are the responsibility of a select few with limited resources.
In a data-driven world, effective metadata management and collaboration are paramount. Metaphor's innovative approach to metadata management aligns with the evolving needs of enterprises, especially those embracing decentralized data utilization. As organizations seek to maximize the potential of their data, Metaphor plays a pivotal role in ensuring data's relevancy, trustworthiness, and accessibility.
Download the full report to explore more in-depth insights and contact us today to learn more about Metaphor.
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The Metaphor Metadata Platform represents the next evolution of the Data Catalog - it combines best in class Technical Metadata (learnt from building DataHub at LinkedIn) with Behavioral and Social Metadata. It supercharges an organization’s ability to democratize data with state of the art capabilities for Data Governance, Data Literacy and Data Enablement, and provides an extremely intuitive user interface that turns even the most non-technical user into a fan of the catalog. See Metaphor in action today!
[1] 451 Research, part of S&P Global Market Intelligence, Market Insight Report, August 21 2023