Key predictive analytics strategies
The proper preparation of data -- a process made more complex with the proliferation of big data, and the expansion of predictive analytics applications to leverage it -- requires new tools and techniques.
What is the first critical step in ensuring that predictive analytics models yield valid outcomes?
This issue of Business Information examines key strategies to apply when it comes to building and running predictive analytics models.
Discover what it takes to:
- Work with high-quality data
- Measure the right information
- Make sure predictive models reflect reality and not wishful thinking