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:
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Challenges in Enterprise Decisions
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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.
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The Solution: Decision Management
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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.
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Step 1: Decision Discovery
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The first step is to identify and categorize the decisions that can be improved with analytics.
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Step 2: Decision Services
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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.
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Step 3: Decision Analysis
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Decisions must be constantly monitored and improved using decision analytics and techniques such as adaptive control, simulation and scenario testing.
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The Big Picture - Decisions in Processes, Events and Systems
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Decision Services are part of an overall systems portfolio and improve business processes, event processing, and enterprise applications such as CRM, SFA and ERP.
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Getting Started and First Steps
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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. James is the leading expert in Decision Management and decisioning technologies – business rules, predictive analytics and data mining. James is passionate helping 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.
In addition to strategy and implementation consulting, James is an experienced keynote and speaker at conferences such as the IBM’s CIO Leadership Exchange, CIO Network’s Leadership Forum, BI 2010, Business Rules Forum, Predictive Analytics World and IBM's Business Analytics Forum. James also regularly runs webinars for clients, and as educational outreach for Decision Management Solutions.
James was lead author of “Smart (Enough) Systems” (Prentice Hall, 2007), the book he wrote with Neil Raden, and has contributed chapters to several books on business rules and business intelligence. James is a faculty member of the International Institute for Analytics.
