erwin Data Intelligence
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Benefits of erwin Data Intelligence
Data
leads to information, and information — with context — leads to data
intelligence. But, as companies continuously change form, and data sources and volumes rapidly grow, full and accurate enterprise data visibility
becomes more of a challenge. Teams spend a lot more time searching for data and
trying to understand how data flows throughout their organizations than they
are able to spend analyzing it for meaningful insights.
In fact, data professionals spend 85 percent of their time looking for, preparing and protecting data and only 15 percent on analysis, according to IDC. erwin Data Intelligence leverages automation to change the equation and provides data awareness, capability and knowledge to drive data governance and business enablement. erwin Data Intelligence can help you:
Why erwin for your data intelligence platform?
Deliver data intelligence with erwin
erwin Data Catalog
The advantage of erwin Data Intelligence by Quest
Discover data
Harvest data
Structure and deploy data sources
Assess and manage data quality
Analyze metadata
Map data flows
Govern data
Socialize data
erwin Data Intelligence in action
Who needs erwin Data Intelligence?
From data analysts, data architects and data stewards to chief executives and business users, erwin Data Intelligence is used by many across the organization to understand, govern, deliver and leverage enterprise data to its fullest advantage. As companies increasingly recognize the role data can play in their evolution, the number of roles requiring more timely, accurate access to data intelligence increases. The convergence of exploding data production, scalable big data computation, and advanced analytics, machine learning and artificial intelligence have given rise to citizen analysts: business-oriented problem-solvers charged with understanding how to apply analytical techniques to massive data sets to identify emergent business opportunities.
Additionally, the prevalence of chief data officers (CDOs) continues to grow to better harmonize data management, governance and consumption efforts to overcome the opaqueness, complexity and siloed nature of enterprise data. Enterprises today must have visibility of their data (and metadata) landscape to harvest, curate and publish data assets available for analysis and reporting. Plus both IT and citizen analysts need access with an understanding of how different data assets can be used along with guidelines for adhering to data policies that best protect the organization.
