IBM Analytical Decision Management

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1 IBM Analytical Decision Management Deliver better outcomes in real time, every time Highlights Organizations of all types can maximize outcomes with IBM Analytical Decision Management, which enables you to: Automatically optimize resource tradeoffs to ensure organizational goals are always met. Get the most out of every customer interaction to grow revenue and increase loyalty. Predict and prevent threats in real time to mitigate the risk of fraud. Proactively manage assets and resources to contain costs by predicting equipment failure and adjusting staffing for downtime and service disruptions. Your organization makes thousands even millions of decisions about your business every day. These transactional decisions often need to be made in an instant. Since there is no time to process and analyze the staggering volumes of ever-changing data, these decisions are often based on a mix of corporate policy, experience and gut feel. Individually, each of these decisions has a relatively small value to the organization. Taken together, however, they can add up to impact significantly the successful execution of your strategy and bottom line. With an solution, your organization can weave analytics into the fabric of your business, fueling all processes, decisions and actions to deliver better outcomes consistently. Smarter decision making in an instant empowers workers (such as call center agents and claims adjusters) and systems (such as websites and self-service kiosks) on the front lines to make the right decision each time.

2 does this by creating an analytical foundation for an organization s entire decisionmaking ecosystem. The platform relies on three key products: IBM SPSS Modeler (predictive engine), IBM SPSS Decision Management (local rules and optimization) and IBM SPSS Collaboration and Deployment Services (scoring). Accessible across the organization through a web-based interface, employs predictive models, analytics, localized rules, scoring and optimization techniques to generate real-time recommendations for the best next action in a given situation. The platform acts as a closed loop system, using automated modeling and scoring to feed the results of today s interactions into the models that recommend and drive tomorrow s. Figure 1: One of the many benefits of is the ability to simulate potential implementations of predictive rules prior to deploying them at the point of impact. is ideal for organizations where recommendations need to be made to front line workers and systems at the point of impact (for example, when reviewing claims, making offers to customers or providing real-time monitoring of capital equipment). The platform helps organizations in a range of industries connect strategy to execution, especially those with large volumes of transactional decisions such as in retail, banking and financial services, insurance and manufacturing as well as government agencies and academic organizations. Because can be configured to integrate with an organization s existing systems, it can be used to address a wide range of challenges, including: Optimizing every customer interaction to grow revenue by providing recommendations to increase the targeting and effectiveness of cross-sell or up-sell campaigns Improving customer retention by identifying which profitable customers are likely to leave and extending an optimized offer that will convince them to stay Minimizing the impact of fraud by focusing the work of investigators on the most suspicious cases and fast tracking those that are low cost and low risk Reducing costly downtime and service disruptions by proactively managing equipment and making recommendations for asset maintenance Improving the efficiency of law enforcement by providing more precise guidance to officers and agents in the field Helping educators improve student performance by clearly identifying individual student needs and taking action to help improve scores or prevent dropouts 2

3 Optimize transactional decisions While most organizations use analytics to optimize strategic decisions, they also need to optimize transactional decisions that add up to have a significant impact on the bottom line. optimizes decisions within resource constraints, and links execution to strategy so that outcomes are maximized for the organization. It does this by providing a revolutionary technology platform that can help companies: Develop new and reusable predictive analytic assets by leveraging existing structured and unstructured data. Measure trade-offs at the execution level by solving very large optimization problems comprised of millions of constraints and variables. Learn from previous decisions through repositories and feedback mechanisms. As a result, organizations can deliver consistently better business outcomes. Consider, for example, how call center representatives make offers to customers. The representative must weigh which offers the customer qualifies for and the likelihood of the customer accepting each offer against the predicted profit margin of each offer. When a company uses IBM Analytical Decision Management, however, the platform automatically recognizes the qualifying offer that is most likely to be accepted and increase the company s profit margin, and prompts the representative to propose that specific offer. Deliver recommended actions at the point of impact The ever-increasing volumes and varieties of information and the speed of transactional decisions have made real-time analysis impractical for influencing data-driven decisions. Workers and systems on the front line are unable to analyze data fast enough to inform decisions in real time. empowers them make the right decision each time by delivering recommendations for the next best action, based on predictive models, local rules, decision logic, scoring and optimization. 3

4 The platform does this by combining a variety of analytic techniques and integrating them into systems and processes so your organization can: Use the strengths and analytics of existing databases, including IBM Cognos Business Intelligence, IBM DB2, IBM Netezza, Informix, Microsoft SQL Server, Sun my SQL, Oracle and Teradata. Automatically prepare, cleanse and transform data in a single step for the best possible analytics. Leverage an array of pre-built algorithms to mine millions of data records and create accurate predictive models. Automate and apply scoring, and deploy and distribute scores across the enterprise. Improve compliance, governance and speed by building enterprise-wide business rules within IBM Operational Decision Management. With, businesses enable front line workers and systems with automated recommendations when they need them giving them the ability to make the best possible decisions. For example, a short-term insurer was able to significantly improve customer service by settling legitimate claims within an hour, which was more than 70 times faster than before. Make real-time, adaptive decisions When it comes to meeting increasing customer expectations and predicting threats in real time, the high velocity of new incoming data reduces the timeliness of rules and predictive models. feeds back the outcomes of made decisions to help business users continuously improve models. The platform also delivers tailored recommendations so that your organization can make and adapt decisions in real time and maximize outcomes consistently. For example, business users can: Combine new attitudinal, behavioral and transactional data with historical data to score a decision and receive the results in real time. Adapt insights through feedback mechanisms and predictive analytics. Refine their decision-making process by running multiple simulations and comparing the outcomes of different approaches (for example, by modifying variables such as cost and profit margin). Deploy the best-performing models. 4

5 software gives business users a simple way to weave predictive analytics into specific processes to ensure optimal outcomes. The platform can be configured to meet virtually any organization s business requirements. The insurance company mentioned previously, for example, also used to enhance its ability to predict fraud, foiling a major crime syndicate and saving US $2.4 million in the first four months of operation. This, in turn, reduced the need for claims adjusters to visit clients to assess low-risk claims, significantly lowering operational costs. Engage today and deliver better outcomes offers a highly effective method for optimizing and automating your business decisions. This platform can help your organization to: Embed the full spectrum of predictive analytic capabilities into business processes. Take the best action based on the combination of optimization, predictive analytics and local rules to drive better business outcomes. Optimize across the decision spectrum from strategic to automated day-to-day transactional decisions, with alignment end to end. Deliver a platform for consistency across the organization and processes. Improve compliance, governance and speed by building enterprise-wide business rules within IBM Operational Decision Management. As a result of using, your organization can move beyond reactive decisions and anticipate which actions are most likely to create successful outcomes in the future. To learn more, ask your sales representative for a demonstration or an overview of the IBM Industry Blueprint that best meets your needs. The Software as a Service (SaaS) deployment If your organization is looking for an alternative to purchasing, hosting and administering IBM Analytical Decision Management, then it is a candidate for the Software as a Service (SaaS) deployment. With this option, IBM SPSS Online Services acts as the back office, providing the infrastructure, the security and the software. All you need is Internet access. This offering works well for organizations that: Lack the resources to focus on IT implementation Haven t yet developed solid skills in database and model building Prefer no upfront software purchase and would rather pay as they go 5

6 Organizations that select a SaaS deployment pay a monthly subscription fee which includes server software, installation, infrastructure hosting and support and no limit on the number of users. Pricing is tiered, based only on storage requirements. When using the SaaS option for IBM Analytical Decision Management, your organization can solely focus on its business goals without worrying about hardware, software, staffing levels or ongoing maintenance costs. The SaaS Jump Start consulting option If you d like assistance getting started with the SaaS deployment for, your organization also has the option of adding IBM Jump Start consulting through IBM Lab Services. Jump Start consulting for the SaaS deployment provides additional expertise and proven practices to help your organization get up and running quickly and make smarter decisions sooner. Typically, organizations can expect to be production-ready in approximately 45 days rather than months. Jump Start consulting includes: Proven practices for model suitability, including data cleansing, formatting, consolidating and basic data masking Proven practices for implementation into the IBM Analytical Decision Management framework, including model refinement, model testing and business rule definitions Remotely-delivered consulting to guide you on the path to a successful deployment By relying on the additional expertise provided by IBM Jump Start consultants, your organization can: Accelerate your time-to-value with the SaaS option for. Leverage your IBM SPSS models across a wider array of analytic stakeholders. Infuse analytics into your operational decision-making processes. Establish a more robust analytical foundation to automate core decisions. Become a more business analytics-driven organization. This optionally purchased service is delivered either before or concurrent with SaaS environment availability, and is completed within 90 days of project kick-off. 6

7 About IBM IBM software delivers actionable insights decision-makers need to achieve better business performance. IBM offers a comprehensive, unified portfolio of business intelligence, predictive and advanced analytics, financial performance and strategy management, governance, risk and compliance and analytic applications. With IBM software, companies can spot trends, patterns and anomalies, compare what if scenarios, predict potential threats and opportunities, identify and manage key business risks and plan, budget and forecast resources. With these deep analytic capabilities our customers around the world can better understand, anticipate and shape business outcomes. For more information For further information please visit ibm.com/businessanalytics. Request a call To request a call or to ask a question, go to ibm.com/ business-analytics/contactus. An IBM representative will respond to your inquiry within two business days. 7

8 Copyright IBM Corporation 2012 IBM Corporation Software Group Route 100 Somers, NY Produced in the United States of America May 2012 IBM, the IBM logo, ibm.com, SPSS and Cognos are trademarks of International Business Machines Corp., registered in many jurisdictions worldwide. Other product and service names might be trademarks of IBM or other companies. A current list of IBM trademarks is available on the Web at Copyright and trademark information at Microsoft, Windows, Windows NT, and the Windows logo are trademarks of Microsoft Corporation in the United States, other countries, or both. The content in this document (including currency OR pricing references which exclude applicable taxes) is current as of the initial date of publication and may be changed by IBM at any time. Not all offerings are available in every country in which IBM operates. THE INFORMATION IN THIS DOCUMENT IS PROVIDED AS IS WITHOUT ANY WARRANTY, EXPRESS OR IMPLIED, INCLUDING WITHOUT ANY WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND ANY WARRANTY OR CONDITION OF NON- INFRINGEMENT. IBM products are warranted according to the terms and conditions of the agreements under which they are provided. Please Recycle YTD03205-USEN-00

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