| 12:00pm - 7:30pm | Track
Pre-Conference Tutorial - Full Day
Driving Enterprise Decisions with Business Analytics and Business Rules
CEO, Decision Management Solutions
MAIN FOCUS OF PRESENTATION:
FAMILIARITY WITH SUBJECT:
ABOUT THIS SESSION:
Putting business analytics to work is top of mind for organizations like yours. Business agility and operational responsiveness are more important than ever. There is a real opportunity to use analytics - especially predictive analytics - to seek out increasingly small margins and understand your customers, products, channels, partners and more. But predictive analytics is only part of the solution - you must put these analytic insights to work making better decisions every day. Business rules offer the agile, business-centric platform you need to manage decisions and effectively deploy predictive analytics. Putting them together 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 Enterprise Decisions
Business 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 while remaining agile and business-centric. Combining analytic accuracy and business ability in this way has many challenges.
The Solution: Decision Management
Decision Management is the business discipline that enables your organization to get the most from predictive analytics. It builds on existing IT assets and uses business analytics and business rules 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 data mining and 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.
ABOUT THE SPEAKER(s):
James Taylor is the CEO of Decision Management Solutions and is a leading decision modeling expert. James is a contributor to the v3 of the IIBA BABOK® Guide on decision modeling and is a member of the submission team for the Decision Model Notation (DMN) standard. James is a frequent presenter and keynote at industry conferences as well as a highly rated instructor for University courses, webinars, workshops and training. James is the co-author of the new book “Real-World Decision Modeling with DMN” (Meghan-Kiffer Press, 2016) with Jan Purchase. He previously wrote “The MicroGuide to Process and Decision Modeling in BPMN/DMN: Building More Effective Processes by Integrating Process Modeling with Decision Modeling” with Tom Debevoise (2014), “Decision Management Systems: A practical guide to using business rules and predictive analytics” (IBM Press, 2011), and “Smart (Enough) Systems: How to Deliver Competitive Advantage by Automating Hidden Decisions” (Prentice Hall, 2007) with Neil Raden. He has contributed chapters on Decision Management to multiple books as well as many articles to magazines and writes a regular blog at JT on EDM. James is also a faculty member of the International Institute for Analytics.
James Taylor, CEO, Decision Management Solutions
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