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CONFERENCE PREVIEW - Predictive Analytics World

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Your dataInside outYou know your organization’s data is fullof potential. Stored and siloed throughout yourbusiness, it represents a wealth of possibilities.Deloitte’s deep industry experience andadvanced analytics capability maximizes thevalue of data. We look at an organization fromthe inside out – turning everyday informationinto useful and actionable insights that informyour decision-making.www.deloitteanalytics.comDeloitte refers to one or more of Deloitte Touche Tohmatsu Limited, a UK private company limited by guarantee, and itsnetwork of member firms, each of which is a legally separate and independent entity. Please see www.deloitte.com/aboutfor a detailed description of the legal structure of Deloitte Touche Tohmatsu Limited and its member firms.© 2012 Deloitte Global Services Limited


An InvitationDear Analytical Innovators and Practitioners,I invite you to join us this March in San Francisco for <strong>Predictive</strong> <strong>Analytics</strong> <strong>World</strong>, the business-focused event, loaded withpredictive analytics case studies, expertise and resources. This conference brings professionals and experts together inorder to keep predictive analytics deployment moving forward, strengthening the impact it delivers and establishing newopportunities.PAW’s San Francisco 2012 program features over 40 sessions across two tracks - an “All Audiences” and an “Expert/Practitioner” track -- so you can witness how predictive analytics is applied at enterprises such as Altos Research, AlbertaMotor Association, Broadspire, CompassLabs , Hewlett-Packard, Interclick, Kelley Blue Book, LinkedIn, MLB, NFL, NBA,Pfizer, Sisters of Mercy Health Systems, Social Media Research Foundation, University of Phoenix, Volunteers of America,Wells Fargo, Yahoo!, YMCA, ZZAlpha, California General Underwriters Insurance Company, an IT support firm and asales workforce, real-world examples in Financial Services, Emergency Response, true-to-life anecdotes based on misc.enterprise successes plus insights from projects for Anheuser-Busch, Dept. Homeland Security, and US Postal ServiceOffice of Inspector General.PAW’s March agenda covers hot topics and advanced methods such as agile analytics, behavior-based advertising,blackbox trading, branch location assessment, churn modeling, clinical healthcare, cloud analytics, crowdsourcing predictiveanalytics, econometric indicators, education, enterprise-wide analytics, forecasting, HR analytics, insurance, list sourcing,non-profits, online marketing, real estate market scoring, risk management, social data, sports analytics, targeting directmarketing, uplift modeling, and other innovative applications that benefit organizations in new and creative ways..Join PAW and access our premier keynotes, sessions, workshops, exposition, expert panel, live demos, networking coffeebreaks, and reception.Eric Siegel Ph.D.Program Chair<strong>Predictive</strong> <strong>Analytics</strong> <strong>World</strong>New to <strong>Predictive</strong> <strong>Analytics</strong>?If you’re new to the field, kicking off a new initiative, or exploring new ways to position it at your organization, there’sno better place to get your bearings than <strong>Predictive</strong> <strong>Analytics</strong> <strong>World</strong>. See what other companies are doing, witnessvendor demos, participate in discussions with the experts, network with your colleagues and weigh your options!Access the free online <strong>Predictive</strong> <strong>Analytics</strong> Guide: www.pawcon.com/guide© 2012 Rising Media, Inc. 1 www.predictiveanalyticsworld.com/sanfrancisco/2012


Agenda Overview3:40-4:00pmTrack 1: All LevelsInsuranceCase Study: Broadspire lThe First 24 Hours: Understanding New ClaimsGary Anderberg, Broadspire,Bangalore Gunashakar, Broadspire &Sergo Grigalashvili, Crawford & CompanyTrack 2: Expert/PractitionersSponsored LabLab Session: Live Topical Demo s4:00-4:35pmBreaks / Exhibits4:35-4:55pm5:00-5:20pm5:25-5:45pm5:50-6:10pmEconometric IndicatorsCase Study: LinkedIn lEconometric Applications & ExtractingEconomic Insights from the LinkedIn DatasetScott Nicholson, LinkedInForecastingCase Study: Wells Fargo Securities lMacroeconomic Forecasting, Consensus &Individual Forecaster: A Real-Time ApproachAzhar Iqbal, Wells Fargo SecuritiesSocial DataCase Study: Social Media Research Foundation lCrowd Photography for Social MediaMarc Smith, Social Media Research FoundationSocial DataCase Study: Real-world examples inFinancial Services, Emergency Response lExploring Social Data: Use Cases forReal-<strong>World</strong> ApplicationChris Moody, GnipUplift ModelingCase Study: Market Share Partners sResponse Modeling is the Wrong Modeling:Maximize Impact With Uplift ModelingKim Larsen, Market Share PartnersBehavior-Based AdvertisingCase Study: Yahoo! sHow to Get the Exact Same OnlineDisplay Advertising Results withOnly 55% of the SpendingLiwei Ma, Big Fish GamesBehavior-Based AdvertisingCase Study: CompassLabs sPrediction and Optimization Modelsfor Online Display AdvertisingMahesh Kumar, Tiger <strong>Analytics</strong>Behavior-Based AdvertisingCase Study: Interclick Data sData, Data Everywhere: Navigating theDigital Ecosystem with <strong>Predictive</strong> <strong>Analytics</strong>Yuan Ren, Interclick6:10-7:30pmReception / ExhibitsReception Sponsored by:7:30-10:00pm Bay Area SAS Users Group Meeting useR Group Meeting© 2012 Rising Media, Inc. 4 www.predictiveanalyticsworld.com/sanfrancisco/2012


Agenda OverviewPost-Conference Workshop:Wednesday, March 7, 2012Full-Day Workshop sThe Best & the Worst of <strong>Predictive</strong> <strong>Analytics</strong>: <strong>Predictive</strong>Modeling Methods & Common Data Mining MistakesJohn Elder, CEO & Founder, Elder Research, IncText <strong>Analytics</strong> <strong>World</strong>:Tuesday, March 6 - Wednesday, March 7, 2012Full Day ConferenceCo-located with PAW:Text <strong>Analytics</strong> <strong>World</strong> SF 2012Post-Conference Workshop: Thursday, March 8, 2012Full-Day Workshop l Full-Day Workshop s Full-Day Workshop sBusiness Friendly Data Miningwith Decision ManagementJames Taylor, CEO,Decision Management SolutionsMaking Text Mining Work:Practical Methods and SolutionsDr. Andrew Fast, Director of Research,Elder Research Inc.Advanced Methods Hands-on:<strong>Predictive</strong> Modeling TechniquesDean Abbott, President, Abbott <strong>Analytics</strong>Post-Conference Workshop: Friday, March 9 - Saturday, March 10, 2012Two-Day Workshop sNet Lift Models: Optimizing the Impact of Your MarketingKim Larsen, Vice President of Analytical Insights, Market Shares Partners© 2012 Rising Media, Inc. 7 www.predictiveanalyticsworld.com/sanfrancisco/2012


Full Agenda11:05-11:25aml Track 1: Crowdsourcing <strong>Predictive</strong> <strong>Analytics</strong>Case Study: WikipediaSolving the Last Mile: FocusingGlobal Intelligence on Your DataAs companies gather and collect more and more dataacross their organizations, the “last mile” of actionableinsights based on that data has become increasinglycrucial to success. Public contests provide a potent,rapidly expanded means to facilitate vastly betterpredictions for your companies, by accessing over 16,000leading data scientists around the world who competeto produce the best results for any given data problem.By correcting the existing mismatch between companiesneeding better predictions and data scientists wantingaccess to the most challenging problems and real worlddata, public competition proves over and over to be a“win-win-win”.Speaker: Karthik Sethuraman, Analytic Solutions, Kaggle11:30am-12:15pmSpecial Plenary SessionCase Studies: Anheuser-Busch, Dept.Homeland Security, & US PostalService Office of Inspector GeneralBecoming an Ace with a Robot asyour WingmanHumans and computers have strengths that are morecomplementary than alike – to the point where asophisticated algorithm may be the best “2nd person”to put on a complex task. By contrasting natural andartificial intelligence we will explore how to optimize theman/machine partnership.Speaker: John Elder, CEO & Founder, Elder Research, Inc.12:15-12:20pmGold Sponsor Presentation12:20-12:40pmLightning Round of 2-MinuteSponsor Presentations12:40-1:40pmBirds of a Feather Lunch / Exhibits1:40-2:25pmSpecial Plenary Session - ConsumerApplicationsIdentity Wars: The Battle to ControlPersonal DataPersonal data is the doppelganger of the consumer,her very identity as a commercial being. Open thefloodgates, as most of the vast quantities of enterprisedata generated each day is - one way or another –personal; data that’s transactional, social, local, mobileand on and on.As the leading players jockey for position, control is thename of the game, and the stakes couldn’t be higher.We are early in the process of establishing a consumeridentity ecosystem, standing on the cusp of majordevelopments. New paradigms will be established andastounding enterprise power stands to be gained. Doesanyone own consumer identity data? What precisely does“ownership” of personal data mean? In any case, theobjective is not to own the transaction but to control thedata it generates. Facebook and Google are central, butdozens of established enterprises and innovative startupsare in the game.In this special plenary session, Dr. Andreas Weigend willilluminate where identity data is, where it’s going, andhow to leverage it.Speaker: Andreas Weigend, weigend.com, Former ChiefScientist, Amazon.com2:25-2:35pmPlatinum Sponsor Presentation© 2012 Rising Media, Inc. 9 www.predictiveanalyticsworld.com/sanfrancisco/2012


Full Agenda2:35-2:45pmPlatinum Sponsor Presentation2:50-3:10pml Track 1: Thought LeadershipCase Study: CA General UnderwritersInsuranceSeize the Competitive Future througha Shared Vision for Value Creation,Quality Management & Collaboration<strong>Predictive</strong> <strong>Analytics</strong> facilitates “anticipating future needsso we can actively create the future” (Drucker). Enrichit and your organization by creating more value frompredictions, managing prediction quality and genuinecollaboration among stakeholder teams. Stakeholdersinclude your prediction financiers, owners and usersplus analytics developers, implementers and insurers.Explore “what to do and how to do it” for collaboration,quality management and value creation plus appreciateDrucker’s Philosphies, Deming’s Principles, Juran’sProcesses and Ackoff’s Pitfalls. Tribal cultures and theirimmune systems are primary inhibitors of collaboration.To ensure competitive future success of <strong>Predictive</strong><strong>Analytics</strong>, we need to selectively relax them.Speakers: Arnold Goodman Arnold Goodman, Founder& Principal, Collaborative Data Solutions & StephanieBehnke, President, California General UnderwritersInsurance Companys Track 2: Real Estate Market ScoringCase Study: Altos ResearchThere & Back Again: ModelInterpretability in Real EstateMarket ScoringSeasoned predictive analytics practitioners understand thatsimple “accuracy” is the beginning of model validation notthe end. Perfect accuracy on your own training data is trivial.How confident are we in our predictions during trulyunprecedented scenarios? The business builds confidenceand optimizes “variance” by involving itself in the grittymodeling process. Black boxes are difficult for the businessto interpret so improving robustness often means goingback to more transparent models. Ben will present a casestudy in local residential real estate market scoring whennon-parametric ensemble methods were left behind formarginally less accurate but interpretable linear models.Speaker: Ben Gimpert Director of Quantitative<strong>Analytics</strong>, Altos Research3:15-3:35pml Track 1: InsuranceCase Study: Alberta Motor AssociationInsurance Pricing Models Using<strong>Predictive</strong> <strong>Analytics</strong>The use of predictive analytics solutions as a pricing toolfor insurance is a very recent phenomenon amongstactuaries. This case study examines what tools were usedin the past and what has led to the adoption of predictiveanalytics solutions within the actuarial discipline. Particularemphasis is devoted to the significant data challengeswhich are unique to the insurance pricing sector. Atthe same time, attendees will learn the process thatwas adopted in building these tools. More importantly,attendees will understand how to demonstrate the valueor benefit of predictive analytics solutions over existingactuarial tools.Speaker: Richard Boire, Partner, Boire Filler Groups Track 2: Branch Location AssessmentCase Study: YMCAUsing Probabilistic Computing toOptimize YMCA Branch Site LocationsThe YMCA operates a network of 2000+ branches,each of which is a $10M+ special-purpose investment.Predicting viability of new branch sites and benchmarkingperformance potential of existing sites is a high-valuechallenge which Seer <strong>Analytics</strong> has worked closely withthe YMCA to tackle.Seer recently evaluated probabilistic computing modelsfor retail site location analysis. Seer’s probabilistic modelswere developed in a week and were as predictive as adedicated suite of logistic regression models developedover 18 months for the YMCA. The probabilistic modelsalso generated per-estimate confidence intervals,offering unique insight into the risk associated with eachprediction.Speaker: Bill Lazarus, President & CEO, Seer<strong>Analytics</strong>3:40-4:00pm© 2012 Rising Media, Inc. 10 www.predictiveanalyticsworld.com/sanfrancisco/2012


Full Agenda5:00-5:20pml Track 1: ForecastingCase Study: Wells Fargo SecuritiesMacroeconomic Forecasting,Consensus & Individual Forecaster:A Real-Time ApproachThis study provides a real-time short-termmacroeconomic forecasting approach that offers severaladvantages over conventional short-term forecastingprocedures. The approach produces more accuratereal-time forecasts compared to those of the Bloombergreal-time consensus forecast, on average, for majormacroeconomic variables.This study sheds light on five important areas ofmacroeconomic forecasting.Speaker: Azhar Iqbal, Vice President & Econometrician,Wells Fargo Securitiess Track 2: Behavior-Based AdvertisingCase Study: CompassLabsPrediction and Optimization Modelsfor Online Display AdvertisingAccording to eMarketer, the internet’s share of totalmedia spending will continue to rise, from 15% in2010 to 20% in 2014 and the growth in online displayadvertising will outpace total online ad spending through2014. The trend indicates greater online ad competitionand the weaker and slowly improving economymeans more spending pressure, so how to deliver thestronger ROI becomes a key success factor for all onlinemarketers. Today I am introducing a strategy which willlet you get the exact same online display advertisingresults with only 55% of the spending.Speaker: Liwei Ma, Senior Director or <strong>Analytics</strong> &Insights, Big Fish Games5:25-5:45pml Track 1: Social DataCase Study: Social Media ResearchFoundationCrowd Photography for Social MediaCrowds of people gather in social media around manyproducts, services, businesses, and events but they can bedifficult to see and understand. With new free and opentools, it is now possible to map and measure social mediaspaces, capturing the sub-groups and key people withinand between them. Learn how to capture social mediadata and quickly generate a visual map of the crowd.With maps in hand, we will discuss ways they guide ajourney to the key influencers and concepts in the crowd.Speaker: Marc Smith, Chief Social Scientist, Social MediaResearch Foundations Track 2: Behavior-Based AdvertisingCase Study: CompassLabsPrediction and Optimization Modelsfor Online DisplayA challenging task in online advertising is to identify acombination of the right advertisement to right customeron right website at right time. In this talk, I will presenta data-driven approach we developed to estimate thelikelihood that a user would click an online displayadvertisement based on a set of user and webpagecharacteristics. We used this model to identify the optimalcampaign and its bid price for an ad space availablefor purchase on a real-time ad-exchange. Our model iscurrently being used by a startup company in providingonline advertising solutions to Fortune 500 companies.Speaker: Mahesh Kumar, CEO, Tiger <strong>Analytics</strong>© 2012 Rising Media, Inc. 12 www.predictiveanalyticsworld.com/sanfrancisco/2012


Full Agenda5:50-6:10pml Track 1: Social DataCase Study: Real-world Examples inFinancial Services, Emergency ResponseExploring Social Data: Use Cases forReal-<strong>World</strong> ApplicationWith billions of social activities passing through the evergrowingreal-time social web each day, companies arebeginning to harness the power of social data. However, intoday’s social data economy, not all social data is createdequal. While all social media data can be valuable, it is amatter of discovering which type of social data is best suitedfor each specific use case. Through this session, participantswill learn from real-world case studies in Financial Services,Emergency Response, Brand <strong>Analytics</strong> and other industriesabout how businesses are applying social data to theiroperations to drive value.Speaker: Chris Moody, President & COO, Gnips Track 2: Behavior-BasedAdvertising Case Study: InterclickData, Data Everywhere: Navigatingthe Digital Ecosystem with <strong>Predictive</strong><strong>Analytics</strong>In today’s digital ecosystem, the challenge marketer’s faceisn’t access, but it is determining the application and valueof data. This presentation will demonstrate how interclickhas pioneered data-driven advertising technologies to findapplicable online audiences to meet digital campaign goals.Our challenges are testing multiple predictive modelingtechniques on Big Data to build effective audiences andmaking algorithms align with multiple goals.Utilizing statistical data mining techniques such as hypothesistesting, collaborative filtering, and model ensemble,we have developed cutting-edge analytics products thatrecommend effective audiences with higher response ratesin shorter time. Real results will be presented.Speaker: Yuan Ren, Data Mining Scientist, Interclick6:10-7:30pmReception / ExhibitsReception Sponsored by:7:30-10:00pmBay Area SAS User Group MeetingThere’s nothing ODiouS about ODS!by Aaron Rabushka, INC Research, Inc.SAS Marketing Automation: Application, Architectureand Securityby Sarmad Pirzada, MD, MPH7:30-10:00pmuseR Group MeetingTuesday, March 6, 20128:00-9:00amRegistration & Breakfast9:00-9:45amKeynoteInfluencers, Skeptics, and Data Geeks:Using <strong>Analytics</strong> to Drive OrganizationalChange“What gets measured gets done” often is true when itcomes to tactical execution. When applied to large-scalestrategy, however, the implications of this adage are evenmore significant.Advanced analytics can help reveal the true performancedrivers in an organization. By leveraging the power ofanalytics in combination with the principles of changemanagement, learn how to effectively lead yourorganization into a new era of operational success.Speaker: Anne Robinson, Director of Supply ChainStrategy & <strong>Analytics</strong>, Verizon Wireless© 2012 Rising Media, Inc. 13 www.predictiveanalyticsworld.com/sanfrancisco/2012


Full Agenda2:30-2:50pml Track 1: Sports <strong>Analytics</strong>Case Study: Major League BaseballMLB Pitchers: A Look at the NumbersBaseball enthusiasts and statisticians have found commonground in the field of Sabermetrics – the application ofstatistics to baseball. Since the installation of the PITCHf/xtracking system in major league ballparks, data has beengenerated on the type, velocity, and displacement forevery pitch thrown in the MLB. We present the findingsfrom an investigation focused on MLB pitchers leveragingthis treasure trove of information.In this presentation we investigate how pitchers generatevalue. We discuss methods that explore pitching speedand control data simultaneously. We also identify thefactors that are most important in determining valuegeneration.Speaker: Bartev Vartanian, Principal, Dataspora2:55-3:15pml Track 1: Sports <strong>Analytics</strong>Case Study: NFL, MLB, & NBACompeting & Winning withSports <strong>Analytics</strong>The field of sports analytics ties together the tools ofdata management, predictive modeling and informationsystems to provide sports organization a competitiveadvantage. The field is rapidly developing based onnew and expanded data sources, greater recognitionof the value, and past success of a variety of sportsorganizations. Teams in the NFL, MLB, NBA, as well asother organizations have found a competitive edge withthe application of sports analytics. The future of sportsanalytics can be seen through drawing on these pastsuccesses and the developments of new tools.Speaker: Benjamin Alamar, Professor of SportsManagement, Menlo Colleges Track 2: Retaining SubscribersCase Study: True-to-Life AnecdotesBased on Misc. EnterpriseSuccesses Subscription SurvivalModeling for Fun & ProfitSurvival analysis started in reliability engineering andmedical research. More recently it has been used bymarketers to better understand customers in subscriptionbased businesses. While the basic math doesn’tchange, there are practical differences when applied tomarketing. First, N is huge. Secondly, there are generallymany cohorts driven by marketing questions aroundproduct, offer, price, acquisition source, and varioussubscriber properties. In a series of case studies, you willlearn the basic ideas behind subscription survival andhow to calculate average lifetime, LTV, compare cohorts,and answer what-if questions. The data and code usedare given to participants.Speaker: Jim Porzak, Senior Data Scientist, Viadeos Track 2: HR <strong>Analytics</strong>Case Study: An IT Support Firmand a Sales WorkforceCreating an Engaged WorkforceUsing Statistical LearningTop-performing organizations consider employeeengagement as a key performance driver. Interviewsand questionnaires are widely used to measure thisengagement, yet results are often unreliable, discrete,and non-actionable. In this talk, we demonstrate howstatistical learning can be used to estimate engagementfrom individuals’ low-level activity data. Using priorknowledge and Bayesian frameworks, we have builta probabilistic model that incrementally learns everyemployee’s true level of engagement. Results havehelped organizations (an IT support firm and a salesworkforce to date) to form cohesive teams that are moreproductive and engaged at the workplace.Speaker: Salman Taherian, CFO & CIO, KasraTechnologies© 2012 Rising Media, Inc. 15 www.predictiveanalyticsworld.com/sanfrancisco/2012


WorkshopsThis one-day session surveys standard and advancedmethods for predictive modeling.Dr. Elder will describe the key inner workings of leadingalgorithms, demonstrate their performance with businesscase studies, compare their merits, and show you how topick the method and tool best suited to each predictiveanalytics project. Methods covered include classicalregression, decision trees, neural networks, ensemblemethods, uplift modeling and more.The key to successfully leveraging these methods is to avoid“worst practices”. It’s all too easy to go too far in one’sanalysis and “torture the data until it confesses” or otherwisedoom predictive models to fail where they really matter: onnew situations.Dr. Elder will share his (often humorous) stories from realworldapplications, highlighting the Top 10 common, butdeadly, mistakes. Come learn how to avoid these pitfalls bylaughing (or gasping) at stories of barely averted disaster.If you’d like to become a practitioner of predictive analytics– or if you already are, and would like to hone yourknowledge across methods and best practices, this workshopis for you!What you will learn:• The tremendous value of learning from data• How to create valuable predictive models for yourbusiness• Best Practices by seeing their flip side: Worst PracticesSchedule:• Workshop starts at 9:00am• First AM Break from 10:00-10:15am• Second AM Break from 11:15-11:30am• Lunch from 12:30-1:15pm• First PM Break: 2:00-2:15pm• Second PM Break: 3:15-3:30pm• Workshops ends at 4:30pmA free copy of John Elder’s book Statistical Analysis andData Mining Applications is included.Thursday, March 8, 2012l Full-Day Post-Conference Workshop9:00am-4:30pmBusiness Friendly Data Miningwith Decision ManagementInstructor: James Taylor, CEO, DecisionManagement SolutionsHow to talk so your business team will listen, how to listen soyour business team will talk.Intended Audience: Analytic, business and ITprofessionals interested in improving their business withadvanced analytics.Attendees receive a free copy each of James Taylor’sbooks “Decision Management Systems: A Practical Guideto Business Rules and <strong>Predictive</strong> <strong>Analytics</strong>”, and “PMML inAction: Unleashing the Power of Open Standards for DataMining and <strong>Predictive</strong> <strong>Analytics</strong>”, a course materials book,and an official certificate of completion at the conclusion ofthe workshop.Workshop Description: There is a real opportunity touse predictive analytics to address key business challengeslike fraud detection, risk management, customer nextbest activity, customer retention, validation, marketingsegmentation, eligibility and more. Organizations that aremore sophisticated with analytics are three times morelikely to be in the top 17% of top business performers*.But too often there are gaps in understanding betweenbusiness, IT and analytics teams. Gaps in building businessunderstanding lead to analytic models that don’t havebusiness value and gaps in implementation lead to modelsthat take months or years to adopt or never get adopted atall. Wasted effort and “good” models that just sit on the shelfgathering dust are the result.This one day workshop on business friendly data mining withDecision Management will show you how to:• Improve business/analytics/IT collaboration andunderstanding• Clarify the data mining goals• Enable rapid deployment of models in IT/operationalsystems© 2012 Rising Media, Inc. 19 www.predictiveanalyticsworld.com/sanfrancisco/2012


WorkshopsJames Taylor will cover the principles of DecisionManagement, its application to critical business challenges,and the appropriate use of available technology to deliverbusiness friendly data mining in your organization.You’ll see how identifying and prioritizing the operationaldecisions that drive your organization’s success creates acommon language and collaboration environment betweenbusiness, IT and the analytics team. You’ll learn how tomodel and understand these decisions and so clarify andfocus the problem statements that drive your analytic efforts.This focus on decisions and the effective use of business rulesand in-database technology also enables rapid deploymentof analytic models in operational systems, to automateand improve these decisions for sustainable competitiveadvantage.Data miners working with the approach have said:“Clearly an effective way to get more understanding of aproblem prior to modeling”“Great interaction with the business team.”“Much more interactive than our current process to gatherrequirements.”Schedule:• Workshop starts at 9:00am• Morning Coffee Break at 10:30-11:00am• Lunch provided at 12:30-1:15pm• Afternoon Coffee Break at 2:30-3:00pm• End of the Workshop: 4:30pmThis workshop is focused squarely on solving businessproblems. It is vendor-neutral and is for business, IT andanalytic professionals responsible for best practices andimproving the business with analyticss Full-Day Post-Conference Workshop9:00am-4:30pmMaking Text Mining Work:Practical Methods and SolutionsInstructor: Dr. Andrew Fast, Director of Research,Elder Research Inc.Intended Audience: Practitioners seeking tools to analyzeunstructured text data.Knowledge Level: No previous experience requiredthough some technical background in statistics or predictiveanalytics will be useful.Attendees will receive an electronic copy of the course notesvia USB drive.Workshop Description: In their 2011 Hype Cycle report,Gartner has Text <strong>Analytics</strong> sliding into the “Trough ofDisillusionment”, highlighting the difficulty of achieving itsgreat promise.Despite this verdict, text mining and text analytics can bevaluable tools, if you know where to look for the solution.This workshop will address:• The text mining solutions available now and theproblems for which they are best suited• Best practices in the key text mining areas• How to set positive but realizable expectations for thereturn on investment of a text mining projectThis one-day session surveys standard and advancedmethods for text mining. Dr. Fast will describe the keyinner workings of leading algorithms, demonstrate theirperformance with business case studies, compare theirmerits, and show how to pick the approach best suited foryour project. Methods covered include search indexes, textclassification, information extraction, document similarityand more.The key to successfully leveraging these methods is to findthe right “hammer” for your text “nails” and understand thelimits of those techniques.Dr. Fast will share his experience mining text on realworldapplications in several fields, highlighting the rangeof available solutions and how to combine technologiesto maximize the value of the vast store of (untapped)unstructured data.If you’d like to become a text mining practitioner – or if youalready are, and would like to hone your knowledge acrossmethods and best practices, this workshop is for you!What you will learn:• The tremendous value of learning from unstructuredtextual data• How to choose the proper text mining solution• Text mining best practices© 2012 Rising Media, Inc. 20 www.predictiveanalyticsworld.com/sanfrancisco/2012


WorkshopsSchedule:• Workshop starts at 9:00am• Morning Coffee Break at 10:30-11:00am• Lunch provided at 12:30-1:15pm• Afternoon Coffee Break at 2:30-3:00pm• End of the Workshop: 4:30pmAttendees receive a free copy of Andrew Fast’s bookon Practical Text Mining, an electronic copy of thecourse notes via USB drive, and an official certificate ofcompletion at the conclusion of the workshop.s Full-Day Post-Conference Workshop9:00am-4:30pmAdvanced Methods Hands-on:<strong>Predictive</strong> Modeling TechniquesSponsored by:Instructor: Dean Abbott, President, Abbott <strong>Analytics</strong>How to talk so your business team will listen, how to listen soyour business team will talk.Intended Audience: Practitioners - Analysts who wouldlike a tangible introduction to predictive analytics or whowould like to experience analytics using a state-of-the-artdata mining software tool.Technical Managers - Project leaders, and managers whoare responsible for developing predictive analytics solutions,who want to understand the process.Knowledge Level: Familiar with the basics of predictivemodeling.Workshop Description: Once you know the basics ofpredictive analytics and have prepared data for modeling,which algorithms should you use? What are the similaritiesand differences? Which options affect the models most? Thisworkshop dives into the key predictive analytics algorithmsfor supervised learning,including decision trees, linear andlogistic regression, neural networks, k-nearest neighbor,support vector machines, and model ensembles. Attendeeswill learn “best practices” and attention will be paid tolearning and experiencing the influence various options haveon predictive models so that attendees will gain a deeperunderstanding of how the algorithms work qualitatively.Participant Background: Participants are expected toknow the principles of predictive analytics. This hands-onworkshop requires all participants to be involved actively inthe model building process, and therefore must be preparedto work independently or in a small team throughout theday. The instructor will help participants understand theapplication of predictive analytics principles, and will helpparticipants overcome software issues throughout the day.Software: While the majority of concepts covered duringthis workshop apply to all predictive analytics projects- regardless of the particular software employed - thisworkshop’s hands-on experience is achieved via StatSoftSTATISTICA. A license will be made available to participantsfor use on that day (included with workshop registration).Hardware: Bring Your Own LaptopEach workshop participant is required to bring their ownlaptop running Windows. Instructions will be provided toinstall a trial license for the analytics software used duringthis training program.Attendees receive a course materials book and an officialcertificate of completion at the conclusion of the workshop.Schedule:• Workshop starts at 9:00am• Morning Coffee Break at 10:30-11:00am• Lunch provided at 12:30-1:15pm• Afternoon Coffee Break at 2:30-3:00pm• End of the Workshop: 4:30pmThis workshop is focused squarely on solving businessproblems. It is vendor-neutral and is for business, IT andanalytic professionals responsible for best practices andimproving the business with analytics.© 2012 Rising Media, Inc. 21 www.predictiveanalyticsworld.com/sanfrancisco/2012


WorkshopsFriday, March 9 -Saturday, March 10, 2012s Two-Day Post-Conference Workshop9:00am-4:30pmNet Lift Models: Optimizing theImpact of Your MarketingInstructor: Kim Larsen, Vice President of AnalyticalInsights, Market Shares PartnersIntended Audience: Statisticians, business analysts,and market researchers who build predictive models formarketing and retention campaigns.Workshop Description: The true effectiveness of amarketing campaign isn’t response rate, it is the incrementalimpact - that is, additional revenue directly attributableto the campaign that would not otherwise have beengenerated. Yet traditional targeting criteria are oftendesigned to find clients that are interested in the product,but would have bought it anyway, whether or not theyreceived a promotion. In such cases, the incremental impactis insignificant and the marketing dollars could have beenspent elsewhere.Net Lift Models are designed to maximize incrementalimpact by targeting the undecided clients that can bemotivated by marketing. These “swing customers” are akinto the swing states of a political election; data miners couldlearn a lot from political campaigns.Beyond targeted marketing, Net Lift methodology deliverstremendous performance improvements for deployed churnmodels - retaining “savables” while avoiding the adverse“reverse” affects retention outreach triggers for somecustomers - as well as other innovative business applicationsof this advanced analytical method.This workshop demonstrates how to build Net Lift Modelsthat optimize the incremental impact of marketingcampaigns, covering the pros and cons of various coreanalytical approaches.You will learn how to:• Build net lift models that maximize the difference inresponse rates between the clients who receive the offerand those that do not (the control group)• Identify good incremental lift predictive variables• Build net lift models using a variety of techniques• Evaluate and deploy net modelsSpecific topics covered include:• Net lift models versus propensity models• Example net lift models in action• Comparison of net lift modeling approaches, includingregression- and non-regression-based methods, and theGeneralized Naive Bayes ClassifierAccess to working code and real examples. In order toillustrate net lift modeling in action and provide options for“take-home” usage, the instructor will provide 1) exampledatasets and 2) examples of code implementing incrementallift modeling methods, including the following SAS macros:INCREMENTAL, INFORMATION, GNBCREG, NWOE (netweight of evidence), and NIV (net information value).While very advanced attendees may optionally bring theirown laptop and software to try out net lift modeling duringthe workshop, this concentrate topics course does notinclude enough time for guided hands-on instruction; it isnot designed or intended as a “hands-on” training program.Schedule:• Workshop starts at 9:00am• Morning Coffee Break at 10:30-11:00am• Lunch provided at 12:30-1:15pm• Afternoon Coffee Break at 2:30-3:00pm• End of the Workshop: 4:30pmThis workshop is offered in cooperation and specialarrangement with SAS Institute.© 2012 Rising Media, Inc. 22 www.predictiveanalyticsworld.com/sanfrancisco/2012


Online WorkshopFull-day: 9:00am – 4:30pm<strong>Predictive</strong> <strong>Analytics</strong> Applied – An Online IntroductionServes as preparation for <strong>Predictive</strong> <strong>Analytics</strong> <strong>World</strong>, March 4-10, 2012 in San FranciscoInstructor: Eric Siegel, Ph.D., Conference Chair, <strong>Predictive</strong> <strong>Analytics</strong> <strong>World</strong>New to predictive analytics? Take this online course to ramp up before <strong>Predictive</strong> <strong>Analytics</strong> <strong>World</strong>.Online 5 ½-hour training program:• On-demand at any time – start now for 3 months of access• Self-paced e-learning – at your convenience• Internationally-friendly – taken from over 16 countriesWorkshop DescriptionBusiness metrics do a great job summarizing the past. But if you want to predict how customers will respond in thefuture, there is one place to turn — predictive analytics. By learning from your abundant historical data, predictiveanalytics delivers something beyond standard business reports and sales forecasts: actionable predictions for eachcustomer. These predictions encompass all channels, both online and off, foreseeing which customers will buy, click,respond, convert or cancel. If you predict it, you own it.The customer predictions generated by predictive analytics deliver more relevant content to each customer, improvingresponse rates, click rates, buying behavior, retention and overall profit. For online applications such as e-marketingand customer care recommendations, predictive analytics acts in real-time, dynamically selecting the ad, web contentor cross-sell product each visitor is most likely to click on or respond to.<strong>Predictive</strong> <strong>Analytics</strong> Applied is a self-paced online course instructed by the founding chair of <strong>Predictive</strong> <strong>Analytics</strong> <strong>World</strong>that covers the following topics:Applications: Business, marketing and web problems solved with predictive analytics. The many ways itspredictions can be used to drive various business decisions.Core Technology: How a predictive model works and how it’s created. What a predictive model looks like underthe cover. What data is required for predictive modeling.Evaluation: How well a predictive model works and how much revenue it generatesManagement: Project leadership and business process for predictive analytics; the organizational challenges andhow to overcome them.Illustrations: Live demos and detailed case studiesHands-on: “Get your hands dirty” with a revealing Excel-based exercise, bringing a predictive model to life andseeing it improve before your eyesKnowledge Level:No background in statistics or modeling is required. The only specific knowledge assumed for this training program ismoderate experience with Microsoft Excel or equivalent.Attendees will receive 3 months of unlimited online access, a course materials book, and a certificate of completion.To get more information or to register for this course, go to:www.predictiveanalyticsworld.com/sanfrancisco/register.php© 2012 Rising Media, Inc. 23 www.predictiveanalyticsworld.com/sanfrancisco/2012


Keynote BiosPiyanka JainCEO, Aryng.com, Former PayPalBusiness <strong>Analytics</strong> HeadPiyanka Jain’s interest lies in deriving actionable insightsfrom data to enable informed trade-offs and decisionmaking. She enjoys problem solving and finds herselfdriven towards empowering business professionalsto make better data driven business decision throughAryng’s “Data to Decisions” framework she teaches.With Aryng, she is creating an organization to drivebusiness transformation through the power of analytics.Before founding Aryng, she was heading the NA Business<strong>Analytics</strong> at PayPal, leading strategic analytics, managingand setting agenda for the team, defining strategicroadmap to find NA business drivers. At PayPal, she andher team have delivered several high impact projectsincluding product portfolio analysis, merchant lifecycleanalysis, Voice of Customer analysis, Next Best ProductModel for Merchant with $84+ mm revenue impact.Prior to this, Piyanka drove direct measurable revenueimpact of $18 mm through Strategic/Marketinganalytics in partnership with Adobe Product Marketingand Relationship Marketing team. Within MarketingOperations and <strong>Analytics</strong> department, her role was tolead the organization into learning more about theirproducts and customers through establishing appropriateengagement model with BU and rigorous mining ofdata. Within Relationship Marketing, Piyanka and herteam’s role involved designing and analyzing campaigns,creating and executing appropriate segmentation andtargeting strategy, Fine tuning messaging, creatives andoffers by Test & Control and improving targeting andincreasing marketable universe by building responsemodels and propensity models.Anne RobinsonDirector of Supply Chain Strategy& <strong>Analytics</strong>, Verizon WirelessAnne Robinson is the Director of Supply Chain Strategy and<strong>Analytics</strong> for Verizon Wireless. Her team is responsible forleading strategic efforts across the Supply Chain organization,leveraging advanced analytics to implement processes andprocedures that lead to improved device life cycle management,working capital optimization and cost reduction.Prior to joining Verizon Wireless, Dr. Robinson spent seven yearswith Cisco Systems. Her responsibilities included managingadvanced analytics, business intelligence, and performancemanagement teams across the supply chain. She and herteam were also responsible for evaluating and improvingthe distribution inventory network as well as establishinga statistical forecasting capability for predicting productdemand. As the driving force for many foundational and crossfunctionalprocess innovations, she helped establish Cisco’spresence and recognition as a leader in business intelligenceand analytics, including being inducted into the balancedscorecard hall of fame.A PhD in Industrial Engineering from Stanford University, Anneis President-Elect of INFORMS, a professional organizationfocused on applying advanced analytical methods for makingbetter business decisions. She has served on several advisoryboards including the SAS Analytical Customer Advisory Boardand the SAS-Teradata Product Advisory Board, and is a topicaleditor for the Encyclopedia of Operations Research andManagement Science. A frequent tweeter, you can follow Dr.Robinson @agrobins.Keynote: Influencers, Skeptics, and Data GeeksKeynote: The Five Myths of <strong>Predictive</strong> <strong>Analytics</strong>© 2012 Rising Media, Inc. 24 www.predictiveanalyticsworld.com/sanfrancisco/2012


Keynote BiosEric SiegelProgram Chair,<strong>Predictive</strong> <strong>Analytics</strong> <strong>World</strong>The president of Prediction Impact, Inc., Eric Siegelis an expert in predictive analytics and data miningand a former computer science professor at ColumbiaUniversity, where he won the engineering school’s awardfor teaching, including graduate-level courses in machinelearning and intelligent systems - the academic termsfor predictive analytics. After Columbia, Dr. Siegel cofoundedtwo software companies for customer profilingand data mining, and then started Prediction Impact in2003, providing predictive analytics services and trainingto mid-tier through Fortune 100 companies.Dr. Siegel is the instructor of the acclaimed trainingprogram, <strong>Predictive</strong> <strong>Analytics</strong> for Business, Marketingand Web, and the online version, <strong>Predictive</strong> <strong>Analytics</strong>Applied. He has published over 20 papers and articles indata mining research and computer science education,has served on 10 conference programme committees,has chaired a AAAI Symposium held at MIT, and is thefounding chair of <strong>Predictive</strong> <strong>Analytics</strong> <strong>World</strong>.Keynote: Persuasion by the Numbers: OptimizeMarketing Influence by Predicting ItFor more speaker bio’s please visitwww.predictiveanalyticworld.com/sanfrancisco/2012/speakers.php© 2012 Rising Media, Inc. 25 www.predictiveanalyticsworld.com/sanfrancisco/2012


Registrationwww.predictiveanalyticsworld.com/sanfrancisco/register.phpPassesRegular PriceENDS MAR 2Onsite Price2 Day Conference Pass – Monday, March 5 and Tuesday, March 6 $1,890 $2,0902 Day PAW / TAW Combo Pass – Monday, March 5 to Wednesday, March 7 $2,380 $2,5802 Day PAW / 3 Day eMetrics Combo PassMonday, March 5 to Wednesday, March 7$2,790 $3,090Social Networking Pass – Monday, March 5 or Tuesday, March 6(Access to Exhibit Hall and Keynotes Only)$150 $150Exhibit Hall Only Passes $25 $45PAW Workshops (see overview)Online Introduction to <strong>Predictive</strong> <strong>Analytics</strong> (On-Demand)Save $100 if you register for this Online Programalong with a 2 Day or Combo Conference PassRegular PriceENDS MAR 2$495($395 with2 Day Pass)Onsite Price$495($395 with2 Day Pass)Hands-On Intro to R – Sunday, March 4 (Full Day) $995 $995<strong>Predictive</strong> Modeling Methods – Wednesday, March 7 (Full Day) $995 $995Business Friendly Data Mining – Thursday, March 8 (Full Day) $995 $995Making Text Mining Work – Thursday, March 8 (Full Day) $995 $995Advanced Methods Hands-On – Thursday, March 8 (Full Day) $995 $995Net Lift Modeling – Friday, March 9 and Saturday, March 10 (2 Day) $1,495 $1,495eMetrics Marketing Optimization Summit WorkshopsThese workshops, co-located with PAW, cover hot topics in web analytics and onlinemarketing optimization, but may not include content on predictive analytics. You mayregister for these workshops as part of the PAW registration process.Regular PriceENDS MAR 2Onsite PriceIntroduction to Web <strong>Analytics</strong> 101 $900 $1,000Applying Web <strong>Analytics</strong> 102 $900 $1,000Pimp Your Reports $900 $1,000Roadmap to Online: <strong>Analytics</strong> Success $900 $1,000Google <strong>Analytics</strong> Users’ Great EventThis GA users’ conference, co-located with PAW, cover hot topics in web analytics, butmay not include content on predictive analytics. You may register for these workshopsas part of the PAW registration process.Regular PriceENDS MAR 2Onsite PriceUser Conference: Day 1 - Thursday, March 8, 2012 $495 $595Training Workshops: Day 2 - Friday, March 9, 2012 $495 $595Both Days: Thursday, March 8, & Friday, March 9, 2012 $895 $995Includes breakfasts, lunches, priceless networking during coffee breaks, the PAW Reception, and full access to program sessions and sponsor expositions.Bring the Team OfferEach additional attendee from the same company registered at the same time receives an extra $200 off the Two Day Pass.© 2012 Rising Media, Inc. 26 www.predictiveanalyticsworld.com/sanfrancisco/2012


Hotel & LocationHotel Rooms and Location:<strong>Predictive</strong> <strong>Analytics</strong> <strong>World</strong>San Francisco Marriott Marquis55 Fourth StreetSan Francisco, CA 94103Reservations: 1-800-228-9290Phone: 1-703-845-1010Fax: 1-703-820-6425There are a limited number of rooms at the SanFrancisco Marriott Marquis which can be booked atthe <strong>Predictive</strong> <strong>Analytics</strong> <strong>World</strong> Group Rate of $249plus taxes for a single or double room. To guaranteethe group rate, reservations must be completed byFebruary 13. Reservations can be made by calling 800-228-9290 and referencing Data Driven Business Week.Reservations must be received on or beforeFebruary 13th, 2012 to guarantee the group rate.Hotel HighlightsRising 39 stories high in the skyline, the magnificentMarriott Marquis San Francisco Hotel exudes anessence of modern luxury and the convenience of anextraordinary downtown San Francisco hotel. Justsouth of Market Street, this San Francisco, Californiahotel next to the Moscone Convention Center issteps away from the Yerba Buena Gardens, renownedmuseums and cultural attractions, world-class shoppingon Union Square, and AT&T Park, home of theSan Francisco Giants. Enjoy inspiring penthouse viewsand cocktails at The View Lounge or the finest contemporarycuisine at Mission Grille before retiring toluxuriously appointed San Francisco hotel rooms andsuites. Renowned as a meeting hotel in San Francisco,California, this business hotel provides flexible andexpansive event venues to accommodate both grandand intimate San Francisco hotel receptions. Whetherin town for business or pleasure, experience San Franciscoat the Marriott Marquis hotel in San Francisco,CA where you’re sure to leave your heart.© 2012 Rising Media, Inc. 27 www.predictiveanalyticsworld.com/sanfrancisco/2012


Thank You To Our SponsorsDIAMOND SPONSORSPLATINUM SPONSORSGOLD SPONSORSILVER SPONSORSBRONZE SPONSORSNEWCOMER SPONSORSMOBILE APP SPONSOR© 2012 Rising Media, Inc. 28 www.predictiveanalyticsworld.com/sanfrancisco/2012


Sponsor ProfilesDIAMOND SPONSORSIBMwww.ibm.com/spssAbout IBM Business <strong>Analytics</strong>.IBM Business <strong>Analytics</strong> software delivers complete,consistent and accurate information that decisionmakerstrust to improve business performance. Acomprehensive portfolio of business intelligence,predictive analytics, financial performance and strategymanagement, and analytic applications providesclear, immediate and actionable insights into currentperformance and the ability to predict future outcomes.Combined with rich industry solutions, proven practicesand professional services, organizations of every sizecan drive the highest productivity, confidently automatedecisions and deliver better results.As part of this portfolio, IBM SPSS <strong>Predictive</strong> <strong>Analytics</strong>software helps organizations predict future events andproactively act upon that insight to drive better businessoutcomes. Commercial, government and academiccustomers worldwide rely on IBM SPSS technology asa competitive advantage in attracting, retaining andgrowing customers, while reducing fraud and mitigatingrisk. By incorporating IBM SPSS software into their dailyoperations, organizations become predictive enterprises– able to direct and automate decisions to meet businessgoals and achieve measurable competitive advantage.For more information, visit www.ibm.com/spssSASwww.sas.comMarkets are changing, and the complexity andvolume of data is growing exponentially faster. Moretransparent decisions, timelier actions, better resourceutilization and continuous learning are vital to valuecreation. When faced with the need to do more withless, how do you effectively derive insights from thedeluge of big data?The leader in business analytics software and services,SAS ® empowers organizations to make better decisionswith the data they already have. SAS helps you focus onwhat matters now and what will happen in the futureso that you can deploy results where and when they’reneeded. SAS gives you THE POWER TO KNOW ® .With SAS <strong>Analytics</strong> software you can:• Interactively visualize, explore and communicatedata discoveries.• Transform structured and unstructured data intofact-based insights for better decisions.• Share and deploy compelling insights to take timelyactions.• Monitor results and facilitate continuous refinementof your analytic models.PLATINUM SPONSORDeloittewww.deloitte.comAbout Deloitte’s <strong>Analytics</strong> approach.An organisation’s data is full of potential. Storedthroughout the business, it has a wealth ofpossibilities. Leading businesses recognise that a betterunderstanding of data (particularly as a predictor of thefuture or as an identifier of existing issues) can createnew opportunities and make a significant differenceto managing performance. <strong>Analytics</strong> is, in our opinion,the natural evolution of business intelligence processes,tools and technologies. While business intelligencefocuses on historical analysis, analytics builds upon thisset of technologies and techniques to re-focus on thefuture; helping predict future trends, opportunities andthreats.Deloitte’s deep industry expertise and advancedanalytics capability can help decision-makers tomaximise the value of their data. By looking at anorganisation from the inside out we can turn everydayinformation into useful and actionable insights. Deloitteis one of the world’s leading professional servicesfirms, providing audit, tax, consulting, and financialadvisory services to public and private clients spanningmultiple industries. With a globally connected networkof member firms in more than 140 countries, we bringworld-class capabilities and deep local expertise to helpclients succeed wherever they operate. Our 170,000professionals are committed to becoming the standardof excellence.For more information, visit www.deloitte.com© 2012 Rising Media, Inc. 29 www.predictiveanalyticsworld.com/sanfrancisco/2012


Sponsor ProfilesForeSee Resultswww.foreseeresults.comAs the leader in customer satisfaction measurement,ForeSee Results captures and analyzes voice ofcustomer data to help organizations increase loyalty,recommendations and marketing value. Using apatented, scientific methodology developed at theUniversity of Michigan, ForeSee Results identifiesimprovements across all channels and touch points thatdrive customer satisfaction. With over 55 million surveyresponses collected to date and benchmarks acrossdozens of industries, ForeSee Results offers unparalleledexpertise in customer satisfaction measurement andmanagement around the globe. ForeSee Results can befound online at ForeSeeResults.com.GOLD SPONSORSAcxiomwww.acxiom.comMu Sigmawww.mu-sigma.comMu Sigma is a leading provider of decision sciences andanalytics services, helping companies institutionalizedata-driven decision making.Mu Sigma works with market-leading companies acrossmultiple verticals, solving high impact business problemsin the areas of Marketing, Supply Chain and Risk<strong>Analytics</strong>. With over 50 Fortune 500 clients and about1300 analytics professionals, Mu Sigma has disruptedthe analytics industry by integrating the disciplines ofbusiness, math, and technology in a sustainable globaldelivery model. Further, analytical assets developed byMu Sigma’s innovation and development team ensure acompetitive edge to clients. Mu Sigma is head-quarteredin Chicago with its main delivery center in Bangalore,India and is arguably the world’s largest pure-playdecision sciences and analytics services company.For more information, please visit www.mu-sigma.comAcxiom is a recognized leader in marketing servicesand technology that enable marketers to successfullymanage audiences, personalize consumer experiencesand create profitable customer relationships. Oursuperior industry-focused, consultative approachcombines consumer data and analytics, databases, dataintegration and consulting solutions for personalizedmultichannel marketing strategies. Acxiom leveragesover 40 years of experience in data managementto deliver high performance, highly secure, reliableinformation management services. The skills anddedication of our employees transformed Acxiom froma small data processing company into a market leader.Founded in 1969, Acxiom is headquartered in LittleRock, Arkansas, USA, and serves clients around theworld from locations in the United States, Europe, Asia-Pacific, the Middle East and South America. For moreinformation about Acxiom, visit www.acxiom.comJMPwww.jmp.comBio is forthcoming.© 2012 Rising Media, Inc. 30 www.predictiveanalyticsworld.com/sanfrancisco/2012


Sponsor ProfilesSILVER SPONSORSRevolution <strong>Analytics</strong>www.revolutionanalytics.comRevolution <strong>Analytics</strong> delivers advanced analyticssoftware at half the cost of existing solutions. Thecompany brings high performance, productivity,and enterprise readiness to open source R, the mostpowerful statistics software in the world.To equip R for the demands and requirements themodern data-driven business, Revolution <strong>Analytics</strong>builds on open source R with innovations in big dataanalysis, integration and user experience. Leadingorganizations including Merck, Bank of America andMu Sigma rely on Revolution R Enterprise for their dataanalysis, development and mission-critical productionneeds.Revolution <strong>Analytics</strong> is committed to fostering thegrowth of the R community, and offers free licensesof Revolution R Enterprise to academia. Revolution<strong>Analytics</strong> is headquartered in Palo Alto, Calif. andbacked by North Bridge Venture Partners and IntelCapital.StatSoftwww.statsoft.comStatSoft, Inc., founded in 1984, is one of the largestproducers of enterprise and desktop software forData Analysis, Data Mining, Quality Improvement,and Web-enabled <strong>Analytics</strong>. Its products are usedworldwide at most major corporations, universities, andgovernment agencies and are supported with trainingand consulting services by 29 offices on all continents.STATISTICA Enterprise is a highly scalable, web-enabledplatform, used by a variety of industries in missioncriticalapplications wherever predictive modelinghelps increase productivity and profitability. TheStatSoft platform has enjoyed unprecedented recordof recognition from end-users (also, winning all majorindependent surveys of users) and reviewers for morethan two decades. These independent ratings showthat while easier to use and more cost-effective thanits competitors, the StatSoft analytics platform offersunmatched performance, scalability, uncompromisingattention to detail and overall quality, which ensuressuccess for its users.Sybasewww.sybase.comSybase, an SAP company, is an industry leader indelivering enterprise and mobile software to manage,analyze and mobilize information. We are recognizedglobally as a performance leader, proven in mostdata-intensive industries and across all major systems,networks and devices. Sybase IQ with PlexQ technologyredefines enterprise-wide business analytics with ashared everything architecture that easily supportsmultiple styles of complex analytics involving massivedata sets by many concurrent users and workflows.Unlike shared nothing MPP solutions, a PlexQ griddynamically manages analytics workloads across aneasily expandable number of computing resourcesdedicated to different groups and processes, makingit simpler and more cost-effective to support growingvolumes of data both structured and unstructuredincluding documents, email, Web content, images,audio, video and other data formats in expanding usercommunities.Read Sybase blogs: blogs.sybase.comFollow us on Twitter at @Sybase© 2012 Rising Media, Inc. 31 www.predictiveanalyticsworld.com/sanfrancisco/2012


Sponsor ProfilesBRONZE SPONSORSFICOwww.fico.comFICO delivers superior predictive analytics solutions thatdrive smarter decisions. The company’s groundbreakinguse of mathematics to predict consumer behavior hastransformed entire industries and revolutionized theway risk is managed and products are marketed. FICO’sinnovative solutions include the FICO Score, along withindustry-leading solutions for managing credit accounts,identifying and minimizing the impact of fraud, andcustomizing consumer offers with pinpoint accuracy.Leading organizations worldwide rely on ourbusiness rules management, predictive analytics andoptimization software solutions to accelerate growth,control risk, boost profits, and meet regulatory andcompetitive demands.Learn more at, www.fico.comForiowww.forio.comForio offers Simulate help you rapidly share yourmodels and simulations online. The drag-anddroponline tool lets you create simulations, datavisualization, interactive case studies and online“analytics apps.”Simulations are typically geared toward medium- andlong-term strategic and operational issues facing largeorganizations.Forio builds custom simulations and sells simulationdevelopment software to businesses, universities andgovernment agencies around the world.Pervasive Softwarewww.PervasiveBigData.comPervasive Software products deliver extremeperformance and extreme economics for big dataanalytics and integration. With options for on-premisesand cloud-based deployment, our data mining softwareand dataflow engine represent the new softwareplatform for data-intensive analytics and preparationapplications spanning claims processing, risk analysis,fraud detection, data mining, predictive analytics,sales optimization and marketing analytics. Pervasiveproducts have a proven track record of deliveringvalue to tens of thousands of customers worldwide,often embedded within partners’ software, withbreakthrough performance, flexibility, reliability andreturn on investment.For additional information, please go towww.PervasiveBigData.comSalford Systemswww.salford-systems.comSalford Systems is an award-winning analytics softwaredevelopment and consulting company with a provenrecord of technical and practical excellence. We offera highly accurate, ultra-fast predictive analytics anddata mining platform for developing models fromdatabases of any size, complexity, or organization.Our technologies span classification, regression,missing value analysis, and clustering/segmentation.Core components of our Salford <strong>Predictive</strong> Modeler(SPM) platform include CART ® , MARS ® , TreeNet ® andRandomForests ® . Our automation accelerates theprocess of model building by conducting substantialportions of the model exploration and refinementprocess for the analyst. While the analyst is alwaysin full control, we optionally anticipate the analyst’snext best steps and package a complete set of resultsfrom alternative modeling strategies for easy review.Applications span fraud detection, credit scoring,market research segmentation, direct marketing,drug discovery and risk management. Industriesusing Salford Systems products and services includebanking, insurance, healthcare, telecommunications,transportation, manufacturing, and education.TIBCOwww.tibco.comTIBCO Spotfire products offer a visual and interactiveexperience that helps professionals quickly discover newand actionable insights in information. Distinguished byits speed to insight and adaptability to specific businesschallenges, Spotfire rapidly reveals unseen threats andnew opportunities, creating significant economic value.Spotfire customers include industry leaders among theGlobal 2000 that have deployed Spotfire analytics togain an information advantage over their competitors.The TIBCO Spotfire product family includes S+ and© 2012 Rising Media, Inc. 32 www.predictiveanalyticsworld.com/sanfrancisco/2012


Miner. Spotfire Miner intuitive drag-and-drop userinterface enables users to rapidly develop sophisticateddata mining and predictive models without complicatedscripts or programming languages. Users can quicklycreate visual workflow diagrams by selecting iconsrepresenting every stage of the data analysis process,from import through data cleaning, manipulation,and transformation. New analytic methods can bedeveloped using Spotfire S+ and applications can bedeployed and automated using Spotfire S+ Server.KXENwww.kxen.comBio is forthcomingYottamine <strong>Analytics</strong>www.yottamine.comBio is forthcomingNEWCOMER SPONSORinfoCentricitywww.infocentricity.comInfoCentricity ® is an analytic solutions company thathelps you easily discover and leverage key insightshidden in your data.Built with an integrated modular structure, our Xeno ®product line accommodates all levels of analyticsophistication and all types of data to support the needsof a wide range of industries, including:• Financial Services• Retail• Direct mail/catalog• Telecommunications• Utilities• E-commerceWe also offer a full range of consulting services frompredictive modeling and customer strategy developmentto complete analytical outsourcing. Our collaborativeapproach and our dedication to complete knowledgetransfer set us apart from other analytic services firms.We use our expertise to build or strengthen your ownanalytic capabilities.Whatever your industry or your analytic needs, ourproducts and services put the power of predictiveanalytics at your fingertips so you can rapidly extractand apply valuable insights from your data. The endresult: timely and profitable decisions.Zementis, Inc.www.zementis.comZementis, Inc. is committed to empower the industrywith leading decision technology and advancedpredictive analytics. We employ our scalable ADAPAdecision engine platform to deliver industry-specificsolutions which require an enterprise-wide approach toorchestrate business processes in real-time.ADAPA fully supports the <strong>Predictive</strong> Model MarkupLanguage (PMML), the de-facto standard for datamining applications. PMML, developed by the DataMining Group, provides a standard way for anapplication to define statistical and data miningmodels so that they can be easily shared with any otherapplication that supports PMML.Focused on business value, Zementis provides predictiveanalytics expertise and software solutions that help ourclients leverage the true power of predictive models.© 2012 Rising Media, Inc. 33 www.predictiveanalyticsworld.com/sanfrancisco/2012


Media PartnersASSOCIATION PARTNERSMEDIA PARTNERS© 2012 Rising Media, Inc. 34 www.predictiveanalyticsworld.com/sanfrancisco/2012


Media Partner ProfilesASSOCIATION PARTNERThe InternationalInstitute for <strong>Analytics</strong>http://iianalytics.comThe International Institute for <strong>Analytics</strong> (IIA) isdedicated to the advancement of analytics in everydaybusiness practices. Under the direction of TomDavenport, IIA brings together the world’s leadinganalytics practitioners and researchers to provide uniqueinsights to both business and IT leaders on the mostcurrent research findings and industry best practicesThe Institute for OperationsResearch and theManagement Sciences (INFORMS)www.informs.orgThe Institute for Operations Research and the Management Sciences(INFORMS) is the largest professional society in the worldfor professionals in the field of operations research (O.R.), managementscience, and business analytics. INFORMS serves thescientific and professional needs of Operations Researchers andthose in Management Sciences and <strong>Analytics</strong> including educators,scientists, students, managers, and consultants. The Instituteserves as a focal point for analytics professionals, permittingthem to communicate with each other and reach out toother professional societies, as well as the varied clientèle ofthe profession’s research and practice. Plan to attend INFORMSConference on Business <strong>Analytics</strong> and Operations Research,April 15-17, 2012, Huntington Beach, California.PMAwww.performancemarketingassociation.comBio is forthcoming.San Francisco BayInteractive Groupwww.sfbig.orgSan Francisco Bay Area Interactive Group (sfBIG) isa non-profit professional association dedicated tochampioning innovation in digital marketing to brandmarketers, publishers and agencies through educationalnetworking, and association events.MEDIA PARTNERSAnalyticbridgewww.analyticbridge.comAnalyticbridge is the leading social network for professionalswith focus on predictive modeling, business analytics, quantitativefinance, econometrics, web mining, text mining, operationsresearch, advanced web analytics, actuarial and decisionsciences, scoring technology, KPIs and lift measurement, six sigma,risk management, bioinformatic, military intelligence andfraud detection. Founded in 2007, the network has grown to35,000 members and operates the largest quant, bio-statisticsand data mining LinkedIn groups.© 2012 Rising Media, Inc. 35 www.predictiveanalyticsworld.com/sanfrancisco/2012


Media Partner ProfilesThe BusinessIntelligence GroupThe Business Intelligence (BI) Group on LinkedIn is for likemindedprofessionals who are in Business Intelligence SoftwareSolutions and Services Space. BI-Group allows its 40,700+ membersto share the knowledge, resources, network with peoplewho are in BI, DB, DWH, CPM, BSC, PM, DSS, KPI, Dashboardspace. The BI-Group group aims to develop networking and toshare their views on BI.For more details and to join visit:www.linkedin.com/e/gis/23006/28BE365C2657CustomerThinkwww.customerthink.comCustomerThink is a global online community of businessleaders striving to create profitable customer-centricenterprises. Each month, the site reaches over 200,000subscribers and visitors from 200 countries via email, RSS,LinkedIn and Twitter. CustomerThink currently serves over80,000 visitors per month. Our main areas of coverage areCustomer Relationship Management, Customer ExperienceManagement and Social Business. This is the place to learnabout every facet of customer-centric business management inarticles, blogs, interviews, and news.Data Science Centralwww.datasciencecentral.comData Science Central is an online resource for Big Data Practitioners.Featuring news, commentary, and social networking, DSCcovers analytics, visualization, integration, tools and trends,and also provides an outlet for career opportunities.ExactTargetwww.exacttarget.comBio is forthcoming.IAB SmartBriefwww.smartbrief.comIAB SmartBrief is a FREE daily e-mail newsletter designed specificallyfor advertising, marketing and media executives. It aggregatesand summarizes the latest need-to-know news andindustry information, meticulously selected from a variety ofmedia outlets to provide a snapshot of what’s happening todayin the world of advertising. More than 57,000 readers make ita part of their daily routine for a quick, easy-to-read industryupdate.KDnuggetswww.KDnuggets.comData Mining Community’s Top Resource for Data Mining and<strong>Analytics</strong> News, Software, Jobs, Consulting, and more.Smart DataCollectivewww.smartdatacollective.comSmart Data Collective is a curated writer’s forum and discussionsite published by Social Media Today LLC. We cover businessintelligence, data analytics, risk management and related topicsfor an audience of business leaders and IT experts. In additionto our regular blog coverage, we also produce webinars,e-books, moderated Tweet chats and other forms of digital content.We provide a platform for recognized, global authoritiesto share their insights about Big Data. Smart Data Collective isa rich resource for executives who seek cutting-edge analysis ofthe accelerating growth of data in our interconnected world.© 2012 Rising Media, Inc. 36 www.predictiveanalyticsworld.com/sanfrancisco/2012


Media Partner ProfilesToolboxwww.toolbox.comToolbox.com helps professionals do their jobs better by enablingthem to easily share knowledge with experiencedpeers. The online communities at Toolbox.com provide thetools through which executives and professionals collaborateto solve problems, make decisions, and increase workplace efficiency.Through innovative marketing services, advertisingpartners become part of the conversation and engage professionalsas they research, discuss, and influence purchasing decisions.This combination of community and advertising value hasmade Toolbox.com a leading destination for professionals anda leader in online advertising.Visibility Magazinewww.visibilitymagazine.comVisibility Magazine, founded in 2007, has become the guideto latest trends in internet marketing. Visibility conducts interviewswith CEOs, shares opinions, reviews products, and providesa wealth of information about the movements in the industry.Additionally, Visibility will reach many fringe businessesthat may have been contemplating entering or expanding theirInternet marketing campaigns. Visibility is published quarterlyand covers a wide range of topics including, but not limited to,organic optimization, pay-per-click marketing, website analytics,affiliate marketing, and press release distribution. Visibilityembodies high-quality content, good sense, superior taste, andthe character of conscientious journalism.topseoswww.topseos.comThe independent authority on search vendors, topseos.com,evaluates and ranks the top internet marketing companies.Categories ranked by topseos include: search engine optimization,pay per click management, affiliate marketing, social mediaoptimization, and many more.Since 2002, topseos has been a trusted resource for businesseslooking to launch or improve internet marketing campaigns.The pathfinder service allows topseos to work directly with youto help find companies that best fit your business needs. Whywaste time searching through thousands of sites with falsepromises? Go straight to the authority, gain insight into the industry,and work with the best.© 2012 Rising Media, Inc. 37 www.predictiveanalyticsworld.com/sanfrancisco/2012

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