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.
Data Quality is core to Data Intelligence
See the value of integrated data quality automation with erwin
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:
Data Quality Visibility
Raise the visibility and understanding of source data quality through dedicated dashboards for data quality stakeholders as well as integrated data quality scoring throughout erwin Data Intelligence for every data consumer. See data quality scores in data lineage and mind maps, when conducting impact analysis, and while browsing for data assets or working inside the data catalog. Data quality scores can also be reflected as one component within automated data value scoring in erwin Data Marketplace.
Data Profiling and Analysis
Leverage data catalog metadata to start a quality assessment of a new data source. Then use AI/ML-enabled auto-discovery and profiling inside erwin Data Quality to detect data patterns and automatically generate data quality scoring. Shared throughout erwin Data Intelligence, understandable data quality scores guide data usage and data quality advancement efforts for IT, data governance teams and business users.
Data Observability
Add data observability capabilities, such as continuous drift monitoring and behavioral monitoring, to understand data volatility and predict future data trends for business guidance. Use the visibility provided by a high-medium-low drift score indicator, fed by 14 levels of drift detection, to guide remediation efforts and data use. Used in tandem with the AI models and data you share within erwin Data Marketplace, data drift monitoring can alert you early to data drifts associated with your models before they become problematic.
Data Remediation
Add data remediation analysis and auto-generate impact scoring to point your team towards the best areas to focus your remediation efforts. Leverage data remediation tools such as reference or ML-based curation and parsing rules to intelligently clean and enrich bad data. Integrate with additional third-party cleansing and enrichment solutions as needed.
Data Quality Collaboration
Raise data quality literacy through scoring, visualizations and dashboards. Leverage alerts and notifications, conversational tools, automated workflows and issue tracking capabilities to support collaborative efforts to strengthen data quality. Keep all data quality stakeholders engaged and moving forward together in data quality initiatives.
Set Your Data Quality Effort Up for Success
Leverage these 6 data quality best practices.
Resources
erwin Data Quality
Data intelligence to maximize the business impact of data
The value of integrated data quality automation
The value of automated data lineage | erwin Data Intelligence Webcast
erwin Data Intelligence by Quest
Data intelligence to maximize the business impact of data
Quadrant Knowledge Solutions 2023 Metadata Management Spark Matrix
erwin by Quest is recognized as a leader by analyst Quadrant Knowledge Solutions in its 2023 Metadata Management Spark Matrix a...
The 2023 State of Data Intelligence Analyst Report
The 2023 State of Data Intelligence report offers key findings you can use to benchmark your organization’s current data intell...
IDC Perspective: Data Intelligence in the Future of Intelligence
Read this IDC Analyst Perspective to understand the foundational role of data intelligence in helping organizations achieve ent...
Quadrant Knowledge Solutions 2023 Data Governance Solutions Spark Matrix
erwin by Quest is recognized as a leader by analyst Quadrant Knowledge Solutions in its 2023 Data Governance Solutions Spark Ma...
erwin Data Catalog by Quest
Automated metadata harvesting, data catalog, code generation and data lineage software
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Learn how integrated data quality automation within erwin Data Intelligence can help you see, understand and boost the quality of your data. Deliver data you can trust.