All organizations have data quality issues. When is this most evident? When a business moves data between (or transitions to new) applications, shifts to a cloud environment, or has a business change such as an acquisition.

The business impact of poor data quality ranges from day-to-day missteps—such as supply chain errors or inefficient marketing processes— to major strategic failures across the business. It is difficult to prevent bad data from entering a business—and it is equally challenging to prevent it from propagating. Solutions revolve around all staff having a clear understanding of the risk and impact of poor data quality. This understanding will drive the need for people to become actively involved in, and accountable for, ensuring data quality.

Data Quality for Everyone, Everywhere

Data quality for everyone, everywhere means that organizations can trust all their data, for all their needs, all the time, and be aware of areas for improvement.

Avoid department level solutions for data management or risk developing silos of knowledge that will disrupt a comprehensive solution.

Data will only get more important to your business.

Data quality needs to be an enterprise-wide endeavor. All need to be empowered with right tools needed to take responsibility for the data and report errors including managers, staff, developers, and even customers.

Executives or other department heads cannot solve data quality problems on their own. Often, instead of working together, department heads decide to implement their own separate data projects which can disrupt an enterprise strategy and increase costs to enable integration with other company wide systems.

Without a consistent, comprehensive way to manage data quality, bad data will continue to cause problems across the enterprise.

RadiusBridge® develops and supports custom data management systems for executives to know, protect, and grow their business.