eBook
This eBook covers the key challenges and considerations for business leaders employing analytics to provide data-driven insight. Written for executives, this guide covers analytics management best practices
This eBook covers the key challenges and considerations for business leaders employing analytics to provide data-driven insight. Written for executives, this guide covers analytics management best practices
Every technical project involves some sort of analytics, ranging from simply reporting key facts, to predicting new events. This eBook defines ten increasingly sophisticated levels of analytics so that teams can assess where they stand and to what they aspire.
In this paper, John Elder describes the power of Target Shuffling to evaluate the validity of your discovery. It’s a method that is particularly useful for identifying false positives, or when two events or variables occurring together are perceived to have a cause-and-effect relationship, as opposed to a coincidental one.
In this eBook, we use our 25 years of experience to describe the “Top 10” mistakes of data science, in terms of frequency and seriousness. When undetected, these mistakes left analysts worse off than if they’d never looked at their data.