According to Gartner, the budget for marketing analytics has been growing in enterprises and now represents 34 percent of overall marketing budgets. Marketers have embraced the data revolution, but struggle to maintain their focus in the ever-shifting marketplace. With the abundance of available information, it’s common for marketers to lack clarity into how their data fits with their business goals and how to leverage analytics to inform decision making.
An agile analytics maturity model can help you harness this data and better understand next steps for growing your analytics function. While there are different maturity models out there, it is important to recognize that implementing, using, and getting results from these models is not an absolute science. It is an evolutionary, customized improvement path defined by goals and driven by your status quo.
I recently joined Patrick Hillery, solutions provider for ObservePoint, for a discussion on taking an agile approach to analytics. During the webinar, “Mapping Your Agile Analytics Maturity Model,” I outlined best practices for understanding your organization’s current maturity level, as well as Rise’s unique approach to analytics strategy. Click below to view the webinar recording and further explore the following topics:
- Using agile analytics to recognize and prioritize high impact opportunities
- Understanding agile analytics maturity drivers
- Identifying technology to support your analytics objectives
If you have questions, or want to learn more about how to improve your digital marketing strategy, reach out to Rise.