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.
Socialize Data Quality and Data Observability results from Monte Carlo, Soda.io, Lightup, dbt Tests and others.
The data you rely on for critical decisions—the foundation of your business insights—is often shrouded in technical obscurity. Data quality checks happen, but the results are confined to engineers' screens, leaving business users in the dark. This disconnect, a data blind spot, can cost you dearly in misinformed decisions, missed opportunities, and eroded trust.
But what if we could bridge the gap? What if data quality insights, typically managed by the data team, could be transparently communicated to everyone who uses that data?
Metaphor announces its newest capability—the ability to surface Data Quality/Observability and Freshness Signals to all users within the company.
Metaphor goes beyond surfacing data inconsistencies. We democratize the understanding of them, transforming complex metrics into actionable insights for everyone.
The Impact of surfacing quality and freshness information :
Metaphor’s quality and freshness indicators break down silos, bridge the gap between technical expertise and business needs, and empower everyone to make informed decisions based on trustworthy data.
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!