The Decision Management Maturity Curve
Webinar Series
Biweekly starting February 3, 2010 until April 14, 2010
FREE Wednesday 30 minutes sessions
Twice a day, 9:00-9:30am and 1:00-1:30pm Eastern
Organizations constantly make business decisions affecting every aspect of strategic and tactical operations. The right decisions save money, increase profits, enable higher throughput, and outshine the competition. The wrong decisions can result in anything from inconveniences to catastrophic setbacks.
FICO introduced the concept of integrated decision management technologies and approaches nearly a decade ago, building on tools and techniques with proven success in helping companies create, implement, and control business decisions across the enterprise.
 This series of web seminars looks at the concept of Decision Management as a whole and in its component details. This is the first time we have assembled all the different solution strategies into a comprehensive multi-part story, showing how each may be used individually and in concert with other tools to move up the Decision Management Maturity Curve; a logical progression for implementing the components of decision management within an organization, each building on previous capabilities while providing a return on investment in each step.
This is a unique opportunity to expand your technical knowledge as well as your strategic vision. Find out how to apply decision management as an end-to-end approach to improving business operations, and learn about the cumulative effects of decision management as you add capabilities. Register today for the following event sessions: How to Measure Decision Performance in 5 Dimensions
April 14, 2010
9:00-9:30am and 1:00-1:30pm Eastern
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Decision Management impacts many areas of your company's business operations and performance. How do you know where you should focus your time and efforts on improving systems, processes, and business decisions?
This session in our series on the Decision Management Maturity Curve introduces the concept of Decision Yield as a measurement criteria for assessing initial organizational needs and achieved improvements.
You will learn what elements affect Decision Yield and how you can estimate their relative values in your company. You will then see how to use Decision Yield to help you make decisions about which components of Decision Management to concentrate on and how to establish goals for progress.
We will look at how Decision Yield ties to issues such as competitiveness, financial value, impact on customers and prospects, as well as how it relates to organizational stakeholders such as business departments, analytic groups, and information technology.
As the concluding topic in the series, Decision Yield will tie together all the elements of the Decision Management Maturity Curve so you can see the overall applicability of advanced Decision Management techniques to organizational performance.
How to Improve Decision Management in Your Organization February 3, 2010
 On-demand Recording
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Join FICO for the first webinar in our covering Decision Management as an organizational process. In this session, we introduce the concept of Decision Management and how it allows your company to effectively make and use IT investments to implement adaptable and agile business decisions and strategies.
You will receive an overview of how to build a Decision Management partnership between business and IT and accelerate the time-to-value after introducing business changes. You will learn how to turn business uncertainty into actionable probabilities of success, failure, risk and reward as well as methods for optimization. The scope of this series extends from the automation of business rules for business control, through decision modeling, simulation and optimization, to methods for continuous improvement.
You will be introduced to the Decision Management Maturity Curve which serves as a logical progression for implementing the components of decision management within an organization, each building on previous capabilities while providing a return on investment in each step.
You will also have the opportunity to hear about ways that companies have applied the individual and combined elements of Decision Management in actual use and the benefits they have seen. How to Automate and Control Decisions through Business Rules
February 17, 2010
On-demand Recording
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Your company and employees work with countless business rules every day. Each time you extend a discount to a customer, forward a document for approval, or recommend a product configuration, you make the decisions based on a set of rules. The problem is that the rules may be incompletely defined, they may not be consistent across the organization, and they may be difficult to update and put into effect as business conditions change.
This session in our series on the Decision Management Maturity Curve introduces the most fundamental concept in Decision Management: Automating and controlling business operations with Business Rules Management.
You will see how you can use dedicated technology to centralize and manage the business rules utilized by employees and automated systems. Learn how to remove the divide between experts who formulate your company's best practices and programmers who implement those guidelines.
As you gain greater visibility and control of the rules driving your operations, you will be able to ensure compliance and consistency throughout your enterprise, while enabling faster responses to new regulations, requirements, and competitive pressures.
Automating and controlling business rules gives you the power to implement additional facets of the Decision Management Maturity Curve. Make sure to attend this session as a building block in your understanding of Decision Management.
How to Manage Customer Risk and Value with Predictive Modeling
March 3, 2010
On-demand Recording
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How does your company make critical decisions such as which insurance premium to charge a customer based on driving record, age, and car type? Or which credit offer is likely to retain the most profitable customers while letting high risk accounts transfer to your competitors?
This session in our series on the Decision Management Maturity Curve shows you how to improve the precision and suitability of business decisions to a particular situation. Predictive modeling uses technology and expertise to scan historical data in an attempt to predict which decision or action is likely to achieve a desired outcome.
You will see applications of predictive modeling in industries such as insurance, lending, and retail to understand when and where predictive decision management is used. Learn how to choose between collected data items to find the indicators with the greatest predictive power. Understand the concept of segmentation to group customers into categories with different predicted traits.
Attend this session to gain a better understanding of how predictive modeling integrates with automated business control to drive more profitable and effective operations as part of the Decision Management Maturity Curve.
How to Predict and Improve Results Using Simulation
March 17, 2010
On-demand Recording
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Can your company catch strategic errors and improve decision approaches before your business decisions go into production? Or are you using your customers as test subjects? Are you familiar with the use of simulation to enhance your Decision Management capabilities?
This session in our series on the Decision Management Maturity Curve looks at enterprise use of decision simulation. Once predictive models are in place and automated business rules have been created to control operations, business users need to confirm that the chosen rules and models will achieve the desired business goals.
Attend this session to learn how simulation becomes an integrated part of business rules management. You will see how advanced technology lets business experts and rule developers catch strategic errors and improve decision approaches before systems go into production. Simulation lets companies assess the impact of rule changes by testing them against known data and comparing outcomes and business performance.
We will also examine the applicability of automated simulation in stress testing business strategies to meet regulatory requirements such as Basel II Capital Adequacy.
How to Transform Strategy Performance with Optimization
March 31, 2010
On-demand Recording
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Your company's strategic goals are bounded by real constraints. You can't hire an infinite number of employees or process an infinite amount of new business applications. Determining the best use of limited resources in order to achieve key objectives is critical to competitive success and bottom line performance.
This session in our series on the Decision Management Maturity Curve details the use of decision optimization within an enterprise. Optimization is the process you use to find the best tactical and operational actions to take, subject to business constraints. We will introduce real examples of optimization goals and considerations, such as minimizing losses while limiting the number of customer denials allowed.
You will learn how to check the impact of individual actions on portfolio-level results and how to quickly compare key data items and performance criteria between several potential business models. You will see how the choice of optimization tools can affect usability, with differences in speed and scalability of optimization algorithms.
We will also examine the benefits of applying a combination of technology and professional expertise to deliver results in shorter timeframes, with smaller investments in exploratory strategies.
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