With the growing success of a BI tool, there’s often a period where a few people within an organization start to feel that it’s increasingly difficult to understand everything that’s going on.
It’s a dangerous question to answer, but are the testing results statistically significant?
With more data and more ways to work with that data, it is no surprise that organizations are increasingly embracing the need to be knowledgeable and competent — literate — when it comes to the application of data.
Hopefully, if you attended Adobe Summit 2018, you will have worked through the after-effects of the sensory overload of Vegas combined with the sensory overload of Summit by now, but who knows?
There’s a lot to learn about A/B and multivariate testing, and a lot of debate about whether (and when) to use each. But don’t fret! This post seeks to clarify issues surrounding both…
What does 007’s iconic1964 Aston Martin DB5 and the SDI Toolkit for Launch, by Adobe have in common?