Mar 18-21, 2013
San Francisco
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June 10-13, 2013
Sept 29-Oct 3, 2013
Oct 14-15, 2013
Oct 23-24, 2013
Nov 4.-5, 2013

Putting Predictive Analytics to Work

James Taylor
James Taylor

Washington DC

Monday, October 19

Putting predictive analytics to work is top of mind for organizations like yours. You are using analytics to seek out increasingly small margins and understand your customers, products, channels, partners and more. But analytics is only part of the process - you must put these analytic insights to work making better decisions every day. And this requires a new conceptual framework - Decision Management.

This workshop covers the principles of Decision Management, its application to critical business processes, and the appropriate use of available technology. We show you how to identify and prioritize the operational decisions that drive your organization's success, introduce business rules as a foundation to automate these decisions, link these decisions to data mining and predictive analytics and discuss how to ensure continuous improvement and competitive advantage using adaptive control.

Delivered as a one day workshop this class covers:

  • Challenges in Putting Predictive Analytics to Work
    Predictive Analytics deliver insight and you need to use that insight to make better decisions. You need your systems and front-line staff to make better decisions and using predictive analytics to improve these decisions has many challenges.
  • The Solution: Decision Management
    Decision Management is a business discipline that builds on existing IT assets and uses predictive analytics to deliver simpler, smarter, more agile systems and processes.
    • Step 1: Decision Discovery
      The first step is to identify and categorize the decisions that can be improved with analytics.
    • Step 2: Decision Services
      Next you must develop reusable application components that deliver these decisions to operational systems. By combining business rules technology with predictive analytics you can develop the components quickly and effectively while ensuring compliance and agility.
    • Step 3: Decision Analysis
      Decisions must be constantly monitored and improved using decision analytics and techniques such as adaptive control, simulation and scenario testing.
  • The Big Picture - Decisions in Processes, Events and Systems
    Decision Services are part of an overall systems portfolio and improve business processes, event processing, and enterprise applications such as CRM, SFA and ERP.
  • Getting Started and First Steps
    While the end game is broad adoption of this new discipline, organizations must adopt it gradually and show an ROI at every stage

This training is focused squarely on solving business problems and on how the various technologies should be used together. It is vendor-neutral and is for managers - Project leaders, directors, vice presidents and decision makers responsible for working with analytics or interested in using analytics to improve their business - and technology experts - analysts, BI directors, developers, DBAs, data warehouse specialists, architects, and consultants who wish to build smarter systems and processes.

Services are part of an overall systems portfolio and improve business processes, event processing, and enterprise applications such as CRM, SFA and ERP.

The Instructor will hand out a small set of printed materials and a certificate.


Room: Poplar
Workshop starts at 9.00am
Morning Coffee Break at 10.30am
Lunch provided at 12.30
Afternoon Coffee Break at 2.30pm
End of the Workshop: 4.30pm

Workshop Instructor

James Taylor, CEO, Decision Management Solutions

James Taylor is one of the leading experts in the emerging space of enterprise decision management. James works with clients to help automate and improve the decisions underpinning their day to day business operations. He helps clients bring multiple classes of technology to bear on solving business problems such as business agility, operational business intelligence, analytic competition and business process management.

Previously, James was a Vice President at Fair Isaac Corporation where he developed and refined the concept of enterprise decision management or EDM. Widely credited with the invention of the term and the best known proponent of the approach, James helped create the emerging EDM market and is a passionate advocate of decision management. He actively maintains two blogs on decision automation, and frequently comments on subjects ranging from analytics and business agility to compliance and business process management. Working with Neil Raden, he has published the definitive work on decision management – Smart (Enough) Systems (Prentice Hall, June 2007).

James has 20 years experience in all aspects of the design, development, marketing and use of advanced technology including CASE tools, project planning and methodology tools as well as platform development in PeopleSoft's R&D team and consulting with Ernst and Young. He has consistently worked to develop approaches, tools and platforms that others can use to build more effective information systems.

James is a lecturer at the University of California Berkeley and appears frequently at industry conferences, events and seminars. Along with writing numerous contributed articles for industry publications and reports, he has contributed chapters to “The Business Rules Revolution”, “Business Intelligence Implementation: Issues and Perspectives” and “The Decision Model (forthcoming).”

Expo Hall Hours
Tue. 8.00am - 7.30pm
Wed. 8.00am- 3.30pm


Digital Analytics Association
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