It is a rarely acknowledged fact that an uncomfortably large proportion of predictive analytics initiatives fail to make any impact in the real world. In this webinar we will draw on the hard-won experiences of industry professionals to examine precisely what drives success or failure in predictive analytics. Using the CRISP-DM framework, the session will focus on the practical aspects of planning for successful outcomes including:
- Choosing useful project objectives
- Insight vs accuracy
- Establishing what a successful outcome actually means
- Assessing and testing model performance
- Managing time and personnel
- Examples of effective application deployment
- Common causes of failure
- Rules for success
You can download the materials from this webinar and also watch a recording here.
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