No organization wants to rely on outdated, incomplete, and inaccurate data to make decisions and drive operations. Data quality is paramount to the success of every organization yet implementing a program to maintain data quality can be challenging. Data quality is often viewed as a low priority or something hard to define or measure.
That’s why it’s so important to understand the true cost of bad data quality and the positive impact that addressing and correcting the issue will have. Getting a data quality project implemented requires approval and funding for the initiative, so how you approach the justification process is vitally important.
This white paper will help you gather the information you’ll need to demonstrate the value that a data quality program will bring to your organization and get your leadership team on board.