Prerequisite: None

Course Outline

Predictive analytics projects are not successful inherently and automatically. They must deliver real business impact and mitigate the risks that are part of any complex project. Understanding the role of predictive analytics as part of decision support is an essential first step. That first step, however, needs to be followed with an incremental methodology that builds toward success while minimizing risk. In this course you’ll become familiar with a six-phase development methodology for analytics projects that is specifically oriented to high value and limited risk. Practical implementation of the methodology is illustrated through a series of case studies. Attendees will receive a step-by-step guide to the practical implementation of predictive analytics projects and the roles of analytics project team members.

You Will Learn

• How to identify predictive analytics projects that deliver business value
• How to develop an effective predictive analytics project team
• How to coordinate efforts and expectations with a six-phase development methodology
• How to utilize incremental development to reduce risk and enhance impact

Geared To

• Everyone who needs to transform a deluge of inert data into actionable assets
• IT executives and big data directors including CIOs, CAOs, CTOs, functional business officers, and technical directors
• Line-of-business executives and functional managers including risk managers, customer relationship managers, business forecasters, financial forecasters, and more
• Data scientists who recognize the importance of complementing their tactical proficiency with a strategic planning and design approach to advanced analytics
• Technology planners who survey emerging technologies to prioritize corporate investment
• Consultants who need to step up to the growing demand for data mining and predictive analytics