Enterprise Information Management
The demand for data-driven insights and innovation has never been higher. Maintaining a competitive edge in today’s global enterprises hinges on the ability to leverage trusted data to make informed and strategic business decisions.
Unfortunately, while most companies collect a wealth of data, it too often remains unused because business leaders either can’t find it or simply don’t understand and trust it.
DBZeus Data Intelligence (Ezy-DI) is the solution for data distrust. It is a metadata-driven platform that makes technical data “smarter” with end-to-end views of the data and its movements (data lineage) combined with business meaning and usage guardrails. Data value is unleashed by making it available, understood and trusted to users across your organization – data scientists, analysts, marketeers and more.
We take a comprehensive approach toward enterprise information management (EIM), with a dedicated focus on transforming data into an actionable corporate and competitive asset capable of:
Increase Data usage & Trust
Build trust in data with improved understanding of its origins, processes and business context
Find and use the right data
Enable your data experts to classify and curate data to enhance its discoverability and business usage
Visualize regulatory lineage
Comply with regulations requiring full data visibility, including CCPA, GDPR, HIPAA, SOX and other mandates
Manage data reference consistently
Facilitate reuse and remove the risks of incorrect values with reliable, accurate and controlled view for all stakeholders
Protect sensitive data
Track and centralize policy management of data to comply with GDPR and CCPA/CCPR without locking down the crucial insights they contain
Eliminate data blot and redundancies
Rationalize obsolete, redundant, unused and ungoverned data to save costs, reduce compliance risks and enhance discoverability of “good” data
Increase data stewardship productivity
Centralize management of data to deliver quality, trusted data for better business decisions
Reduce risk with impact analysis
Understand change impacts across the enterprise, beyond data stores and applications, and keep an audit trail of why change was made