Data Governance
& Data Quality

Save time and ensure data that’s fit for purpose

Drive confident data-driven decisions that reduce costs, boost revenue, increase compliance, and minimize risk with data quality solutions that meet your unique objectives. Here’s what you can accomplish:

• Apply standard data quality rules and unique business rules and integrate the results with your data governance programs
• Save time and ensure high-quality data with automated validation and cleansing
• Stop bad data from entering your systems with CRM & ERP data validation solutions
• Clean up duplicate records with data matching and entity resolution solutions, and get a 360 degree view of all of your critical data.

Read our eBook: 4 Keys to Improving Data Quality

Understand risk and make better decisions

Want to move faster, gain an accurate understanding of business risk, and move forward with confident decisions?

You need to validate and standardize your address data using a system that considers all the complexities of this process. Deliveries, decisions on physical locations, policy ratings, and many other important processes rely on the accuracy of this data.

In addition to addresses, contact data needs to be validated to ensure standardization of other data elements, like organization names, person names, and email addresses. When both address and contact data are validated, other geo addressing and enrichment processes can occur to greatly enhance your effective use of the data.

Read our eBook: Validation and Enrichment: Harnessing Insights from Raw Data

Improve data integrity and maximize efficiency

Increase accuracy, improve operational efficiency, and mitigate risk with automated data reconciliation.

Data reconciliation ensures data received from external sources is aligned with internal sources, in a variety of places throughout your organization. Are you performing data reconciliation in an automated, standardized, and streamlined process?

Achieve it all with our data reconciliation solutions.

See how a top insurance company improved its operational efficiencies through end-to-end financial reconciliation:

Read the case study

Minimize business disruption and prevent costly downstream data and analytics issues

Data is constantly moving into, out of, and within your organization.

How do you ensure the accuracy of this data as it moves and ensure quick notifications of any potential problems?

It’s all about proactivity. Our data observability solution uses intelligence that helps you minimize issues by sending proactive alerts that identify data anomalies and outliers – so you can address them faster and avoid costly downstream problems.

And for more in-depth and configurable data validation rules, you can deploy balancing and reconciliation solutions to ensure data remains accurate as it moves across your data ecosystem.

Watch our webinar: Keeping the Pulse of Your Data