Workshop
Thursday, March 8, 2012 in San Francisco
Full-day: 9:00am - 4:30pm
Business Friendly Data Mining with Decision Management
How to talk so your business team will listen, how to listen so your business team will talk.
Intended Audience:
- Analytic, business and IT professionals interested in improving their business with advanced analytics.
Attendees receive a free copy each of James Taylor's books "Decision Management Systems: A Practical Guide to Business Rules and Predictive Analytics", and "PMML in Action: Unleashing the Power of Open Standards for Data Mining and Predictive Analytics", a course materials book, and an official certificate of completion at the conclusion of the workshop.
Workshop Description
There is a real opportunity to use predictive analytics to address key business challenges like fraud detection, risk management, customer next best activity, customer retention, validation, marketing segmentation, eligibility and more. Organizations that are more sophisticated with analytics are three times more likely to be in the top 17% of top business performers*. But too often there are gaps in understanding between business, IT and analytics teams. Gaps in building business understanding lead to analytic models that don't have business value and gaps in implementation lead to models that take months or years to adopt or never get adopted at all. Wasted effort and "good" models that just sit on the shelf gathering dust are the result.
This one day workshop on business friendly data mining with Decision Management will show you how to:
- Improve business/analytics/IT collaboration and understanding
- Clarify the data mining goals
- Enable rapid deployment of models in IT/operational systems
James Taylor will cover the principles of Decision Management, its application to critical business challenges, and the appropriate use of available technology to deliver business friendly data mining in your organization. You'll see how identifying and prioritizing the operational decisions that drive your organization's success creates a common language and collaboration environment between business, IT and the analytics team. You'll learn how to model and understand these decisions and so clarify and focus the problem statements that drive your analytic efforts. This focus on decisions and the effective use of business rules and in-database technology also enables rapid deployment of analytic models in operational systems, to automate and improve these decisions for sustainable competitive advantage.
Data miners working with the approach have said:
"Clearly an effective way to get more understanding of a problem prior to modeling"
"Great interaction with the business team."
"Much more interactive than our current process to gather requirements."
This workshop is focused squarely on solving business problems. It is vendor-neutral and is for business, IT and analytic professionals responsible for best practices and improving the business with analytics.
Schedule
- Workshop starts at 9:00am
- Morning Coffee Break at 10:30am - 11:00am
- Lunch provided at 12:30 - 1:15pm
- Afternoon Coffee Break at 2:30pm - 3:00pm
- End of the Workshop: 4:30pm
Attendees receive:
- A course materials book
- An official certificate of completion (at the conclusion of the workshop)
- A free copy of the instructor's book, "Decision Management Systems: A Practical Guide to Predictive Analytics and Business Rules"
- A free copy of the book, "PMML in Action: Unleashing the Power of Open Standards for Data Mining and Predictive Analytics"
Instructor
James Taylor, CEO, Decision Management Solutions
James is the CEO and Principal Consultant of Decision Management Solutions. James is the leading expert in decision management and decisioning technologies. James is passionate about using decisioning technologies like business rules and predictive analytics to help companies improve decision making and develop smarter and more agile processes and systems. James has over 20 years developing software and solutions for clients and has led Decision Management efforts for leading companies in insurance, banking, health management and telecommunications. He is also an active speaker, blogger (primarily at JTonEDM) and author.
James delivers webinars, workshops and sales training for clients and vendors. He is a keynote speaker at conferences such as the Business Rules Forum, Predictive Analytics World and IBM's Business Analytics Forum. James was co-author of "Smart (Enough) Systems" (Prentice Hall, 2007) with Neil Raden, and has contributed chapters on decision management and business rules to multiple books including "Applying Real-World BPM in an SAP Environment", "The Decision Model", "The Business Rules Revolution: Doing Business The Right Way" and "Business Intelligence Implementation: Issues and Perspectives". James is a faculty member of the International Institute for Analytics and has experience at FICO, PeopleSoft R&D, and Ernst & Young.
