Data Quality

The Challenge

Your organization has data that is loaded from and moved between many different sources and targets including external partners, internal applications, data warehouses, the mainframe, and even the Cloud. For this reason, your data may become inconsistent, incomplete, or inaccurate over time resulting in decreased responsiveness and increased cost in communicating and doing business with your customers and partners.

The Alternatives

The most common alternative is to cleanse data as needed at a project level using potentially different tools depending upon the data sources and targets. The key questions include:

  • “How much does poor data quality cost my organization?”
  • “How much time, effort, and money is spent improving data quality in an ad-hoc fashion across multiple projects in potentially different ways that are not re-usable?”

These types of ad-hoc data quality initiatives may include business users, but typically involve only IT and don’t provide for shared participation and responsibility across stakeholders in producing quality data.

Our Solution

Southport Data Quality. This capability allows you to centrally access and manage all of your data from a quality perspective, including:

  • Readily identify duplicate customer data with pre-built data matching rules for customer data, available for more than 60 countries.
  • Expand data quality with pre-built rules for healthcare and financial services industries, as well as the public sector.
  • Reuse all data quality rules, reference data, and processes across all types of data integration projects.
  • Access and cleanse any data from any source—within the enterprise, in partners’ systems, or in the cloud— based on proven data integration connectivity.
  • Manage data quality services centrally, independent of the applications, to promote reuse and support data governance.
  • Deploy data quality services in batch or real time, including point of entry, to prevent low-quality data from entering applications.

For Business Users

  • Profile, analyze, and create data quality scorecards centrally against all of your data.
  • Interact seamlessly with IT relating to Data Quality issues.
  • Track Data Quality targets ongoing.

For Developers

  • Quickly discover and access all data sources on premise, with partners, or in the cloud.
  • Improve the process of analyzing, profiling, validating, and cleansing data.
  • Reuse all profiling and rule specifications from business analysts and data stewards across all applications and projects.

For Administrators

  • Manage all aspects of deployment including configurations that support grid and high availability.
  • Oversee security including users, groups, roles, privileges, and permissions.
  • Perform advanced monitoring and logging.

Who Benefits?

If you answer “yes” to any of these questions, you may benefit from Southport Data Quality capabilities:

  • Do your business users have trouble conducting business because of incomplete or inaccurate data in your systems?
  • Do you have limited visibility to the accuracy and completeness of your data, and suspect that you may not be getting optimal value out of your marketing, supply chain, or other initiatives?
  • Do you continually struggle with managing address information, domestic or international?
  • Do you have duplicate identities for customers and/or partners in your data, resulting in additional cost communicating with those customers and partners?
  • Are you spending money managing data quality on a case-by-case basis, with little or no ability to reuse quality rules?
  • Does the business continually struggle with IT in defining what clean data looks like and applying those rules consistently across all of your data?

To learn more about this offering, please contact us.