Workshop
Putting Predictive Analytics to Work
Monday, October 19, 2009
Intended Audience:
- Managers: Project leaders, directors, CXOs, vice presidents, investors and decision makers of any kind responsible for working with analytics or interested in using analytics to improve their business.
- Technical Managers: Analysts, BI directors, developers, DBAs, data warehouse specialists, architects, and consultants who wish to build systems that make better decisions.
The Instructor will hand out a small set of printed materials and a certificate.
Workshop Description
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:
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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.
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Step 1: Decision Discovery
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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.
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 and an official certificate of completion at the conclusion of the workshop.
Instructor
James Taylor, CEO, Decision Management Solutions
Taylor was previously a Vice President at Fair Isaac Corporation where he developed and refined the concept of enterprise decision management or EDM. The best known proponent of the approach, Taylor is a passionate advocate of decision management. He 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 develops approaches, tools and platforms that others can use to build more effective information systems. He is an experienced speaker and author, with his columns and articles appearing regularly in industry magazines.
