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Intelligent metadata catalog.

KeeDATA is a comprehensive metadata catalog solution designed for companies at various stages of data management maturity.
It focuses on fast and efficient deployment, enabling organizations to easily catalog, organize, and access their data assets to improve visibility and understanding.

76

Reduction in time to access and locate data

30

Improvement in the organization’s data quality

45

Increase in the utilization of data assets

Benefits

Key capabilities for efficient data management

Efficient data cataloging

Efficiently catalog and organize data assets, making it easy to quickly access relevant information, significantly improving visibility and understanding of data.

Data-driven decision making

KeeDATA supports informed, data-driven decision-making, which is crucial for the organizations’ competitiveness and operational efficiency.

Data governance support

Helps organizations establish consistent and compliant data management practices, improving regulatory compliance and managing data privacy and security.

Cost saving

By automating the cataloging, validation, and organization of data, KeeDATA reduces the operational costs associated with manual asset management.

Rapid deployment

Complete and functional metadata catalog solution in just six weeks, enabling a quick and efficient transition to a data-driven environment.

Flexibility & scalability

Designed to accommodate companies with different levels of data management maturity, KeeDATA can grow and adapt to the changing needs of the organization.

Success stories

Transform your data into a strategic asset.

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Insights

News, trends and perspectives about KeeDATA.

What does it take to achieve truly reliable estimates?

The pressure to accelerate decisions coexists with the need to maintain control over data. Is it possible to enable autonomy without compromising quality and traceability?

Data governance rarely fails because of technology. The real challenge appears when organizations try to make it work in practice.

Data is becoming central across the organization, but not always under a shared framework. As its use expands, so do the differences in how it is interpreted and managed. At what point does that start affecting decision-making?