If you want to maximize the ROI and utility of your data, you need to understand how data is moving through your company. Do you know your organization’s primary acquisition sources of high-value data? Are you able to identify data that will soon become obsolete? These are important questions that can be answered with the right approach to data lifecycle management.

It all starts with collection—ensuring your organization is collecting high-value data with accurate permissions.

Next, data is activated and utilized across the organization—for marketing, service, sales and more.  Having the ability to find and promote valuable data within the organization is key. Capabilities like self-service analytics facilitate end users’ discovery of data, and are a critical element of any data lifecycle strategy.

Finally, operationalizing data retention and end-of-life policies is an efficient way to ensure teams are working with relevant and fresh data, delivering great customer experiences, and maximizing data utility and ROI.