Data quality is, rightly, a very popular topic these days. Many companies are implementing enterprise data management solutions or formal master data management programs within the next two years. But to leverage these robust solutions, organizations first need to set up solid foundations in data quality.
Poor data quality can impact an organization in many ways, from undeliverable mail and marketing campaigns to delays in customer payments to poor customer satisfaction.
The cross-functional nature of the problem makes it hard to fix, but easy enough to blame someone else. However, leading companies have realized that customer data quality is a business issue and are making data quality a top priority. A complex data quality project needs support and leadership from top officers.
If organizations want to achieve an effective data quality program, everyone needs to be on board. From the corner office to customer service and the IT department, collaborating across divisions and working to enact meaningful change is the key to keeping your data clean and under control.