Hello,
I'm excited to announce a continuing education (CE) course targeted for the statistical consultant and sponsored by the Section on Statistical Consulting
will be delivered at JSM 2015! The course, "
Managing Statistical Consulting Projects: Lessons from the Front", is a full day continuing ed course which will cover topics on how to deliver a successful statistical consulting project as illustrated through case studies. The course will be delivered by my colleague David Steier, and myself. The course has been developed based on materials from a related course at CMU delivered by David, our internal training materials, and our experience managing analytics and statistical consulting projects for the past decade.
We hope that if you are attending JSM in Seattle that you will consider enrolling in the course.
Thanks to Kim Love-Myers, Walter Ambrosius, and Eric Vance for the guidance, support, and decision to sponsor the course.
Course Abstract: Managing Statistical Consulting Projects: Lessons from the Front
Beyond having good data and technology, what does it take to deliver analytic success on the ground? Using a framework for managing analytics projects developed from our consulting experience, this tutorial aims to offer statistical professionals practical guidance around the process of evaluating, initiating and delivering statistical consulting projects. The tutorial will draw on case studies in covering the following topics:
- Starting an analytics conversation - framing the conversation on analytics to improve decision making and drive value
- Evaluating the current state - prioritizing effort based on systematic assessment against a data and analytics maturity model
- Planning and organizing analytics projects and programs - analytics project planning and organizational models for multi-disciplinary teams
- Choosing data, analytics techniques and enabling technologies -using problem constraints to drive architectural and algorithmic choices
- Managing delivery of analytics projects and programs - iterative prototyping and communication with stakeholders
- What to Watch For - common warning signs and opportunities
The intended audience for this course is anyone who may be undertaking a statistical consulting project starting from the ground up. Prior analytic project management experience is not required, but attendees are encouraged to bring their own case studies and topics for discussion. -----------------------------------------------------------------------------
Michael Greene
Senior Manager, Advanced Analytics & Modeling
Deloitte Consulting LLP
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