erwin Data Quality
erwin Data Quality
Most enterprises don’t have the insight needed to understand data quality or the data quality automation and data quality tools needed to improve it. Poor data quality or lacking data quality visibility can result in your data becoming a costly challenge instead of a strategic advantage. erwin Data Intelligence automates data profiling, data quality assessment, ongoing data observability, and data remediation to ensure IT, data governance teams and business users alike have the visibility and collaborative abilities to make the most of the opportunity that data presents.
Uniting data intelligence and data quality
erwin Data Intelligence delivers automated data quality capabilities and integrated data quality tools to support data governance, fuel data trust and promote data quality collaboration. Based on the DQLabs augmented data quality platform, recognized within the Gartner 2021 Hype Cycle for Data Management, erwin’s data quality offering leverages metadata stored within erwin Data Catalog to automate data profiling and streamline data quality assessment to deliver data quality scoring, correlation visuals, and other data quality measures. Add optional data observability for continuous drift monitoring and behavioral analysis, and data remediation capabilities to take data quality initiatives further.
Data quality automation with erwin Data Intelligence
Manage the entire data quality lifecycle with erwin Data Intelligence by Quest. Combine data intelligence, automation and an integrated, modern augmented data quality platform with accessible data quality tools to automate the data profiling, quality scoring, ongoing quality monitoring and data remediation of your most critical data sources. Improve data quality, reduce operational costs and risks, and extend data quality visibility across your enterprise to guide decision-making surrounding data use and to fuel data trust.
Metadata-driven data quality assessment
Initiate the quality assessment of a data source at the environment, table or column level from the metadata within erwin Data Catalog.
Automated data discovery and profiling
Use AI/ML-enabled discovery capabilities within the erwin data quality platform to detect data patterns and auto-create business rules for data quality assessment. Auto-profile based on business rules and auto-generate data quality scores.
Data quality visibility for all
Data quality scores appear in the erwin data quality platform as well as alongside data catalog metadata, in erwin Data Intelligence data asset searches, and within data lineage, impact analysis and mind map visualizations.
Ongoing data observability
With optional continuous drift monitoring, you can monitor 14 types of deviation across data, metadata and datasets associated with data-at-rest or streaming data. Gauge data volatility with a high-medium-low drift level indicator, set auto-alerts and use other data quality tools to understand and manage variations.
Data behavioral analysis
Leverage behavioral analysis within optional continuous drift monitoring capabilities to track data trends over a previous time and forecast future data trends for business operational use.
Data remediation analysis
Add on optional capabilities to use auto-profiling and other data quality tools to assess the need and potential for data remediation. An assigned impact score forecasts the percentage of bad data that can be remediated into good.
Data remediation tools
Use erwin data quality tools to tackle cleansing, deduplication, standardization and other data remediation using optional reference-based or ML-based curation and parsing capabilities, and through third-party tools.
Data remediation collaboration
Capture and collaborate on data quality issues within optional data remediation issue-tracking and conversation capabilities, and other data quality tools within the erwin data quality platform.
Data quality dashboards
Use the detailed data quality dashboard within the erwin data quality platform to drill into detailed data quality status, profile assessments, correlations and platform usage, and also view a data quality overview within the erwin Data Catalog dashboard.
Easy data source connectivity
Choose from an out-of-the-box library of data source connectors to industry standard data sources including Microsoft SQL Server, MySQL, Oracle, PostgreSQL, Salesforce, Snowflake and more.
erwin Data Quality Tour
erwin Data Intelligence delivers the organizational visibility and data quality tools and automation to understand and improve data quality. Take a look:
Raise the visibility of source data quality through dedicated dashboards and the integration of data quality scoring within erwin Data Intelligence.
Leverage data catalog metadata to start a quality assessment. Then use AI/ML-enabled auto-discovery and profiling in the erwin data quality platform.
Add data observability capabilities, such as continuous drift monitoring, to understand data volatility and predict data trends.
Add data remediation analysis and impact scoring to guide remediation efforts and leverage data remediation tools.
Raise data quality literacy with visualizations and dashboards, and leverage alerts, conversational tools and issue tracking to support collaboration.
erwin Data Quality
Data intelligence to maximize the business impact of data.