Creating an Agile Data Quality Strategy for Effective Regulatory Compliance

Read this eBook to explore how an agile, iterative data quality strategy can help your organization streamline compliance and proactively face new regulations with confidence.

Introduction

As both individuals and nations become more concerned about privacy and security, it is certain that data-focused regulations will continue to grow in number, breadth, and depth. This has many implications for businesses.

Some companies put in place technology and mechanisms specific to each regulation with which they must comply. While this approach does bring organizations into compliance, it is a narrowly focused approach with limited benefits, and puts organizations in a position of playing catch-up as additional regulations are passed.

A broader approach that offers wider benefits is to invest in new ways to catalog, understand, measure and monitor your data so that you can make confident assertions that can be proven to regulators consistently over time. This paper argues that data quality is perhaps the most productive way to invest in a compliance architecture and get off the expensive whack-a-mole compliance treadmill. With an approach that prioritizes data quality, companies can measure how well they’re complying with regulations at a granular level while at the same time driving greater business value from their data.