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 Evolve your data  maturity with Quest

Discover the building blocks for implementing the erwin® by Quest® seven-step data maturity model. These data maturity solutions help you progressively maximize the value from your data to achieve the biggest business impact.
Maximize the Impact of Your Data with Quest Data Empowerment Solutions 01:46
Evolve data maturity with data intelligence

Evolve data maturity with data intelligence

Data intelligence enables your IT, data governance teams, and business users with enterprise-wide data landscape visibility, the business and governance context required for understanding your data, and the automation and self-service capabilities to put it to use.

With data catalog, data quality, data literacy and data marketplace capabilities, your teams will spend less time looking for data, questioning its quality, and attempting to understand how data flows throughout your company. As a result, they can devote more time to analyzing data in search of significant insights and viable applications that will propel your enterprise forward.
Foundations for success

Foundations for success

Data modeling holds the key to success for enterprise metadata management, as well as any data governance or data intelligence initiative. Over the years, data modeling has grown to be more dynamic and agile and it now allows you to model, catalog and govern high-quality enterprise data assets. It is critical to understanding your data, creating an inventory and establishing rules and policies for data use.
Enhance Data Quality, Traceability and Lineage

Enhance Data Quality, Traceability and Lineage

Curate your data by enriching it with business and organizational context. Record the specific business terms, rules, and policies for your company and connect them to the actual data assets across your organization. This enables everyone who works with your data to be on the same page when they view and discuss it.

Once the data is aligned with business context, your company is ready to look for ways to improve and take action. You will be able to enhance organizational efficiency and costs as well as the flow and quality of data to decision makers across your organization by keeping a close eye on your key data pipelines and tightly managing and pruning data where and when needed.

Employ Data Quality and Governance Effectiveness Metrics

Employ Data Quality and Governance Effectiveness Metrics

Employ data quality scoring to enhance the visibility of your existing data quality and to highlight critical issues, facilitate the evaluation of data value in the downstream process, and foster confidence in data among data governance teams and business users.

Improve compliance and provide controlled, comprehensible data to the rest of the company by enhancing the visibility into data lineage, mind maps and more while also using productivity tools like AI usage to auto-match and bulk group data assets.

Encourage a community of data and responsibility

Encourage a community of data and responsibility

Extend the value and reach of the datasets you prepare across your organization. Leveraging data preparation and data intelligence, you can raise high-value data visibility, speed data delivery and ensure data governance remains intact.

When end users request a dataset, leverage data modeling and data intelligence to pull data from the source and push it into the target. This data set can now be made available in a data marketplace and made accessible to end users upon request.

This makes it easy for all data users, no matter how skilled they are, to find the trusted data they need to move your business forward.

Talk to a solutions expert

If you’re looking for more resources or just want to understand how erwin by Quest can help with your journey to data maturity, then talk to a solutions expert.