What's new in erwin Data Intelligence 12?
Data quality and data governance are tightly interwoven. In a recent state of data governance research study done by Quest, nearly half of enterprise companies responding cited improving data quality as a primary driver of data governance initiatives and understanding data quality as integral to the role of data governance within their organizations. erwin Data Intelligence 12 introduces new integrated data quality capabilities to assess, monitor, and tackle data quality issues head on and shines a light on data quality for IT, data governance teams, and business users alike.
With erwin Data Intelligence 12, users can initiate a need for data profiling and quality assessment right from the metadata contained within erwin Data Catalog. Customers can then use erwin's new data quality offering based on the Gartner-recognized DQLabs augmented data quality platform to auto-discover data sources, automate data profiling and quality assessments, and display resulting data quality scoring throughout erwin Data Intelligence.
Data quality scores appear alongside metadata within erwin Data Catalog for IT's data management and data pipeline development purposes, as well as within erwin Data Intelligence for data lineage, impact analysis, and mind maps, to help all users better understand their data landscape. Governance teams and business users also can see data quality scores within erwin Data Intelligence asset search results, helping users gauge data fitness, building data trust, and surfacing data quality issues to encourage collaboration.
From within the erwin Data Quality platform, connecting to data sources is quick and simple using out-of-the-box data connectors for popular industry data sources. Teams can then speed data discovery, profiling, and assessment using AI and machine learning to auto-discover data patterns and jumpstart rule creation for assessing data sources, data sets, and group domains. Rules can easily be modified and incorporate more complex SQL queries, as needed. Organizations choose the frequency of profiling and assessments that best fit their businesses unique needs and updated data quality scoring is published throughout erwin Data Intelligence for all stakeholders.
Beyond taking advantage of automated data profiling and quality assessment, companies can also add optional data observability or continuous monitoring capabilities to track a wide range of data deviations. Automatically generated, a drift indicator score reflects data source or data set volatility. Auto alerts can notify stakeholders as data falls outside of predetermined thresholds so that action can be taken. Companies can also benefit from behavioral analysis capabilities to see and understand past data behavior and forecast future data trends to guide operational decisions.
Optional data remediation capabilities are also available for companies pursuing data quality improvement. Use automated data profiling to assess and deliver impact scores that forecast the percentage of bad data that can be remediated into good. Then take advantage of the ability to cleanse, standardize, and deduce data using reference or machine learning-based curation and parsing and further extend data remediation capabilities with third party integrations. Issue tracking and conversational abilities within the platform also further fuel collaboration around data remediation.
With erwin's new data quality offering, data quality visibility has never been better. Detailed dashboard views within the data quality platform provide visuals of in-depth health checks, profile assessments, correlation information, and platform usage. And outside of the data quality platform, data quality remains top of mind for IT, data governance teams, and business users with scoring visibility throughout erwin Data Intelligence and a data quality summary within the erwin Data Catalog dashboard.
Beyond data quality, erwin Data Intelligence 12 also delivers a new data asset discovery and collaboration experience for data governance teams and business users. Replacing the previously separate erwin Business User portal, asset discovery and collaboration is now integrated inside erwin Data Intelligence, itself. New consumer-like dynamic search capabilities combined with social rankings and asset tagging make it simple for non-technical users to quickly filter and find available relevant data assets.
Immediate access to business and governance contacts combined with interactive visualizations, such as data lineage, impact analysis, and mind maps, help users quickly understand data relationships, data quality, and more to quickly determine the best asset fit for their needs.
The built-in Action Center also encourages collaboration between business users and data governance teams, giving users the ability to initiate and assign tasks, record issues, and ask questions. One-on-one collaboration is also supported through conversational chat capabilities within the software.
According to analysts and customer reviews, erwin Data Intelligence has long been a market leader in data lineage and impact analysis, providing immediate and powerful capabilities to teams to quickly understand their data landscapes and the impact of change. Now, with erwin Data Intelligence 12, both have been visually redesigned and performance-boosted for even greater clarity and faster response.
The new design of erwin Data Intelligence data lineage helps users more quickly and clearly zero in on the detailed lineage information needed for the task at hand, while retaining immediate access to the fuller context of their data landscape at large. With erwin Data Intelligence, you have full traceability of your entire data landscape, from initial data sources to target systems and all data transformations in between.
Erwin Data Intelligence's redesigned impact analysis similarly provides an improved visual display and fast drill-down capabilities to help users focus in on critical business and technical insights and now includes data quality and sensitive data classification visibility, as well. Quickly determine the downstream impacts of a change to a data source, table, or column across your entire data landscape in seconds.
Erwin Data Intelligence 12 also now provides the ability to add multiple sensitive data classifications to a single asset to support ever-growing regulatory compliance and reporting needs and the software has extended its enterprise tagging capabilities. Enterprise tags or custom hashtags can now be added to the metadata and mappings within erwin Data Catalog, in addition to existing availability within erwin Data Literacy's business glossary manager and asset discovery experience. The enterprise tags offer you another way to easily organize, analyze, and report on assets by key organizational topics and
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