Learn how leading organizations use analytics to solve problems, increase revenue, improve productivity and cut costs. Discover the latest trends and best practices in predictive analytics, statistics, data mining and marketplace research technologies. All breakout sessions listed below are included in your conference registration.
Researchers at the Yale School of Management Center for Customer Insights have been exploring the use of structured and unstructured data from proprietary and publicly available sources to gain fresh, forward-looking insights into customer behavior. This session will draw upon the presenter's vast experience as an expert in consumer behavior, branding, marketing management and marketing strategy. It will offer you a preview of recent studies of consumer behavior and fraud, and corporate responses to public opinion. You will gain a better understanding of how customer and consumer information can be used and hear about the implications of online and offline data on your business.
Kathy Konkel
IBM
As predictive analytics becomes critical to optimizing key processes, implementing them in a robust infrastructure is essential. Learn why System z is the ideal infrastructure for implementing IBM SPSS predictive analytic solutions and how it provides a scalable, secure, reliable infrastructure ideal for consistent service delivery and effective use of resources. In this session, gain an overview of the capabilities that are now available for System z customers and tips on how to maximize this powerful environment. See how a System z infrastructure for predictive analytics makes it easier and more cost effective to deploy analytic solutions to more users so more people are able to take advantage of predictive intelligence.
John Hassman
United Stationers
Learn how United Stationers, a Fortune 500 wholesale and distribution company, created a measurement platform for their social media programs using IBM SPSS solutions. United Stationers will share the metrics they use to determine activity, effectiveness and overall usage for both their associate social networking program and external social media. You will learn about the challenges involved in working with information, from "listening" software and combining internal and external data, to analyzing the information to create meaningful strategic insights.
Eugene Tavares
Proctor & Gamble
See how free extensions and custom IBM SPSS solutuions increased analysis and reporting capabilities at P&G; and helped them learn which products appeal to which customers - right down to the SKU level. This session shows you an elegant way to automate repetitive tasks and increase productivity while giving analysts a high level of customization. See how extension commands integrate with the user interface and let users access R or Python programmability without learning a new language. This session will present consumer survey analysis case studies, including TURF analysis (Total Unduplicated Reach and Frequency) for marketing and automated breakout reporting for assessing consumer products tests.
Alejandro Kepes Bustamante
Vicepresidencia De Auditoria
Bancolombia S.A.
In this session, you’ll learn how the Stream Automation System for Auditing (SARA), using an IBM SPSS solution, helped Bancolombia improve its execution of data streams dramatically. You’ll hear about a process that once required six to eight employees which now requires three or less. You’ll learn how scheduling processing for nights and weekends and improving data preparation with IBM SPSS Modeler reduced process time by 50% And hear how users who once spent a full day to manually generate reports can now produce those reports in just 20 minutes – an important consideration when 30 auditors are waiting for results!
Steven Van Belleghem
Managing Partner, Insites Consulting
InSites Consulting
Dr. Niels Schillewaert
Managing Partner and Professor
InSites Consulting and the Vlerick Management School
The dramatic evolution of social media in recent years means that advertisers and marketers now need to observe, facilitate and even join in the consumer conversation. In this session, you’ll learn how InSites Consulting uses a new research paradigm they call “social media netnography” to obtain valuable market insights from publicly available comments on social media sites. You’ll hear how text analytics can be used to observe and understand tens of thousands of online conversations. You’ll also hear findings from case studies and get concrete tips and practical tools that will help you use conversation management and social CRM to inform your business strategy.
David Mould
Predictive Analytics Scientist
MedeAnalytics
MedeAnalytics uses IBM SPSS Modeler in the predictive analytics solutions it provides to its hospital and health care system clients. In this session, you’ll learn about one specific solution that helps hospitals address the increasing population of self-pay patients. You’ll learn how to build a predictive model that improves accounts receivable collections, including technical details such as using the derive node for ordinal data and using decision tree segments to stratify collection strategies. You'll also see a step-by-step example of how to build a similar model yourself.
Bill Haffey
IBM
Sometimes an ROI comes in more than dollars. In this session, you will learn how the Richmond Police Department used IBM SPSS Modeler to identify and predict crime patterns through timely analysis of incident reports, tips and service calls. The department can now pinpoint hot spots and place tactical units where they are needed most—getting the cops there before the criminals! Join us and hear how the city realized a 20–30 percent decrease in violent crime and homicides in a 12-month period.
Stefan Meinzer
Business Analyst
BMW AG
Recent headlines about massive vehicle recalls only underscore the criticality of quality control. In this session, you will hear how BMW Group uses innovative data mining techniques to anticipate potential car system failures and help ensure high quality standards. Learn how BMW Group built a customized solution that uses a wealth of feedback data from vehicle control units to enhance a priori analysis and graph visualization for faster identification of potential problems. You'll discover the broad potential of data mining and see how it can help solve complex business problems, whether your goal is to reduce product development time, fine-tune production processes, monitor costs or control quality.
Tom Miller
Vice President, Direct Marketing
ADP
Craig Nelson
Sr. Director Business Intelligence/ Corporate Systems
ADP
In this session, learn how ADP identified its organization's need for true enterprise BI and met that need with IBM SPSS Predictive Analytics and IBM Cognos 8 Business Intelligence. Learn how ADP defined a business case, selected a vendor, gained executive support and then built a BI infrastructure and cultivated the organizational competency to support an enterprise-wide BI deployment.
Audrey Fisher
Pacific Coast Cardiac & Vascular Surgeons
Can predictive analytics save lives? For the past 10 years, Pacific Coast Cardiac & Vascular Surgeons (PCCVS) has used IBM SPSS as the backbone of their cardiac surgery performance improvement program. Utilizing predictive analytics, they have been able to identify which patients are at risk for major complications or death following surgery, and improve outcomes by providing tailored care. As a result, they have achieved a 50% reduction in mortality in the past five years. In this session, you'll hear their story and also learn how PCCVS has used IBM SPSS analytics to promote their program and emerge as a market leader for cardiac surgery in the highly competitive San Francisco Bay Area.
Jason Verlen
Director, SPSS Product Strategy & Management, Business Analytics
IBM
Predictive analytics has changed dramatically in the past decade, and it continues to evolve. Capabilities once understood and performed only by elite experts in specialized functions are now demanded across the enterprise for real-world applications that fundamentally transform organizations. In this high-level technical session, learn how the SPSS product strategy drives the evolution of predictive analytics and how you can introduce or grow predictive analytics within your organization. Gain key insights on how to start realizing quick wins with dramatic ROI using existing technology, while setting the stage for predictive transformation and joining in predictive analytics explosive growth in creating competitive advantage.
Colin Shearer
SVP Strategic Analytics, SPSS
IBM
This session will demonstrate how Predictive Analytics can be used within your organization to both increase revenues and decrease costs. See real-world examples of how SPSS clients in a range of industries use and benefit from SPSS technology today. Client case studies will be combined with detailed illustrations showing how predictive analytics delivers value in a variety of application areas, including: generating more value from customer relationships by improving customer retention, growth and acquisition; managing and mitigating risk; and detecting and preventing fraud. Finally, learn the steps you can take to deploy analytics within your organization and begin your Predictive Analytics Journey
Erick Brethenoux
Executive Program Director - Predictive Analytics & Decision Management
IBM
The data deluge overwhelming organizations no longer finds its source within the four walls of the enterprise. Enabled by Web 2.0 behaviors and techniques, the New World Data Order is made of conversations that are taking place outside of the enterprise, which has no control over them. This session aims at answering questions such as: In that New Data World, how can organizations establish multichannel conversations with their customers? In the loud ambient noise of Web 2.0 what are the essential pieces of data that will allow enterprises to build one-to-one relationships with their customers? What are the essential points of time, moments of truth, when organizations can derive the most out of their customer relationships?
Erick Brethenoux
Executive Program Director - Predictive Analytics & Decision Management
IBM
Overwhelmingly, organizations have been relying on ad-hoc, inefficient and disconnected processes to make crucial decisions, often with no means to understand the impact of those decisions. Optimizing and automating costly operations, attracting and retaining highly profitable customers, innovating and capturing market segments ahead of the curve heavily rely on a coherent and agile decision management discipline. This session introduces a decision management framework outlining the pragmatic aspects of a unified approach to decision making, bringing together a uniquely comprehensive set of technologies including predictive analytics, business intelligence, businessrules, complex-event processing and collaboration systems.
Theresa Morelli
SPSS Industry Marketing
IBM
Marketplaces are changing. Competitors are catching up. Customer expectations are rising. And innovation is harder to achieve and harder to sustain than ever before. The global economy is forcing organizations to find new ways to compete, and predictive analytics can give them a competitive advantage. In this session, you'll learn the basics of predictive analytics, separate the truth from the hype and discover how predictive analytics can transform your organization and significantly impact your bottom line.
Robert Risany
Product Marketing - Decision Management
IBM
Organizations looking to dramatically improve their business outcomes are turning to decision management, a convergence of technology and business processes that is used to streamline and predict the outcome of daily decision making. IBM SPSS Decision Management technology provides the critical link between analytical insight and recommended actions. In this session you'll learn how Decision Management software integrates analytics with business rules and business applications for front-line systems such as call center applications, insurance claim processing and websites. See how you can improve every customer interaction, minimize operational risk, reduce fraud and optimize results.
Timothy Daciuk
Director, Demo Team - SPSS
IBM
A picture is worth a thousand words. And the right visualization lets people grasp at a glance what your predictive model has discovered. In this session, you'll learn new ways to interact with predictive results and present complex analytical information in formats that are easy for information consumers to understand. Once they understand what lies beneath the model, they can make better decisions and take the right action. If you've been seeking easier ways to turn models into decisions, be sure to attend this session.
Jon Peck
Senior Software Engineer - SPSS
IBM
The latest version of IBM SPSS Statistics is packed with new capabilities. This session gives you an up-close tour of new automation, research and reporting tools, and shows you how the advancements in architecture provide better performance and flexibility. Product experts will demonstrate automated data preparation that eliminates repetitive tasks and prevents errors. Youll see a new bootstrapping module that ensures the stability of predictive models, and an Enhanced Model Viewer for interactive visualizations. Youll learn new ways to work in R and Python programming languages and see the new direct marketing module, which lets business users easily create powerful analyses and reports to drive return on marketing investment.
Timothy Daciuk
Director, Demo Team - SPSS
IBM
Creating satisfying customer relationships and experiences can put you ahead of the competition, but it takes the right techniques and the right tools. This session shows you how to create a positive and personalized experience for each of your customers to drive greater loyalty and higher profits. You'll see step-bystep how IBM SPSS technologies help your organization maximize the value of customer relationships by collecting data from every type of interaction, analyzing it to develop predictive models and then deploying reports and recommendations throughout your organization.
Robert Risany
Product Marketing - Decision Management
IBM
Discover the most effective ways to deploy predictive analytics in key business processes. In this session, you'll learn how to embed predictive insights into everyday business decisions to achieve exceptional benefits, including more effective up-selling and cross-selling and higher rates of customer retention. You'll learn how to build models with deployment in mind, how to deploy models and scoring into operational systems, how to use automation to keep data fresh and how to create repeatable analytical processes. You will also learn about leveraging existing technologies, such as IBM Cognos and InfoSphere software, and better, faster, easier ways to integrate predictive analytics into your existing operations.
Heena Jethwa
IBM
Nick Read
Product Manager - IBM SPSS Data Collection
IBM
The IBM SPSS Data Collection platform is known for its strength, sophistication and flexibility, which enables you to conduct survey research more efficiently and deliver deeper insights across the organization. In this session, you'll learn how IBM SPSS Data Collection helps you extend the survey creation (authoring) environment to business users and create surveys that better reflect real-life experience to deliver deeper insight. See how to streamline the operational environment to increase productivity and scalability and find out how the Data Collection platform continues to develop to help ensure that you can stay innovative and deliver timely insight to decision makers.
Darlene Knafelz
Advisory Product Manager, IBM SPSS Modeler
IBM
Jane Hendricks
Product Marketing Manager, IBM SPSS Modeler
IBM
IBM SPSS Modeler is the industry-leading data mining workbench. In this session, you'll get an early peek at innovations in Modeler that take analytics to new levels through new algorithms, new options that improve accuracy and performance, and new ways to leverage other technologies as part of your data mining efforts. See how you can embed predictive models within your business processes to improve results. And discover how these new features help you create and interpret models that integrate seamlessly with other IBM SPSS software and other IBM technologies to boost your ROI.
Jane Hendricks
Product Marketing Manager, IBM SPSS Modeler
IBM
Eric Martin
Principal Sales Engineer
IBM
Valuable insights into people's attitudes and behaviors are often hidden in unstructured text. But if uncovered, these insights can drive significant competitive advantage in maximizing customer relationships. Discover how the newest features of IBM SPSS text analytics use semantic networks and resources to zero in on relevant issues, create hierarchical categories to organize extracted concepts, and import and export code frames, including hierarchical categories, annotations and keyword descriptors. You'll learn how to create and test rules on sample text before applying them to your data and see how to harness the power of text to add a new dimension to your predictive models.
Venkat Muthukrishnan
VP, Global Services, SPSS
IBM
David Suedkamp
Global VP: Software as a Service, Market Research Services: SPSS
IBM
Cloud computing offers significant freedom to organizations, allowing them to broaden computational capabilities cost-effectively. This session explores how organizations can integrate predictive analytics within their cloud-based operations for real and measurable results. You'll see how you can support data exploration and predictive modeling safely and securely through the cloud. And you'll learn about the components and consumers of a typical cloud application and the practical applications of predictive analytics in cloud computing.
Check back to this page regularly as sessions are still being added. For more information on additional BA Forum content, please click here.
In addition to all the rich content included at the BA Forum, your conference registration also entitles you to attend all the sessions at IBMs Information on Demand Conference free of charge! For more details on additional sessions at Information on Demand, click here.
