Access this on-demand session to explore why so many predictive analytics initiatives fail to deliver real impact and what you can do to ensure success. Drawing on the practical experiences of industry professionals, the session takes a candid look at the factors that genuinely influence project outcomes. Using the CRISP-DM framework as a guide, it focuses on planning, evaluation and deployment approaches that make a measurable difference.

You will learn how to define project objectives that matter, balance insight against accuracy, assess what successful outcomes should look like and test model performance effectively. The session also covers how to manage time and team resources, how to deploy models in ways that create real operational value and the common pitfalls that cause projects to stall or fail.

Clear examples and practical guidance highlight the rules that underpin successful predictive analytics projects and help you avoid the traps that undermine them. This is an essential introduction for anyone aiming to strengthen their organisation’s analytics capability and achieve reliable, real-world results.

• 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