It is very common to see organizations split out their analytics and optimization programs among different teams.
What does it mean to integrate you analytics and optimization programs, or at least prevent them from being separated? What are some of the risks that are created when you keep them separated?
On this week’s episode of the 33 Tangents podcast, Jim and Jason continue their series focused on optimization and a/b testing with Jason Boal, focusing on why organizations shouldn’t keep their analytics & optimization teams separated. They discuss why organizations end up with separated analytics and optimization programs, the impact of that, and what can be done to address it.
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