Rexer Analytics specializes in advanced analytics, knowledge discovery, and CRM consulting. We deliver analytic solutions and expert consulting to provide new insights, drive strategic decisions, and produce measurable results for our clients. We partner with our clients to fully understand their business goals, and then design and implement analytic solutions that are tightly aligned with those goals. Our highly skilled team of experienced professionals is well-versed in a variety of statistical and data mining techniques. We have provided predictive modeling, survey research, and analytic CRM solutions to clients in numerous fields, including financial services, technology, retail services, manufacturing, and higher education. Our analytic solutions have improved customer segmentation and targeting techniques, aligned sales teams to customers’ buying potential, improved customer cross-sell and retention, prevented millions of dollars of B2B fraud loss, and quantified the impact of direct marketing initiatives. Above all, we understand that the results of analytics must be understood to be useful. At Rexer Analytics we pride ourselves not only in our technical expertise in developing analytic solutions, but also in our ability to clearly communicate those solutions to any audience, regardless of statistical or analytic background. Each year Rexer Analytics conducts, publishes and freely distributes the widely read Annual Data Miner Survey. In 2011 over 1,300 data miners from around the globe participated in the 5th annual survey. Over 6,000 people have requested copies of recent summary reports.
Karl Rexer, PhD founded Rexer Analytics in 2002. Karl has broad experience in analytic consulting that includes analytic strategy & leadership, predictive modeling, statistics, data mining, direct marketing, CRM, and market research. Karl and his teams have delivered analytic solutions to dozens of companies, including targeting and measurement analytics for million piece direct marketing initiatives, multi-country fraud detection programs, customer segmentations, multi-year customer satisfaction tracking, sales forecasting, customer loyalty analyses & prediction, market basket analyses, product cross-sell modeling, and text mining. He has provided guidance on analytic strategy and managed million dollar analytic budgets. Karl is a leader in the field of applied data mining. He is frequently an invited speaker at conferences and universities.Karl has served on the organizing committees of numerous international Data Mining and Business Intelligence conferences and workshops (e.g., KDD, IEEE, BIWA Summit, Oracle Collaborate). He also reviews and selects papers for these conferences, is a conference moderator, and serves on awards committees to select the best applied data mining papers. Several data mining software companies have sought Karl's input, and in 2008 and 2010 he served on SPSS's (IBM) Customer Advisory Board. Since his election in 2007, Karl has also served on the Board of Directors of the Oracle Business Intelligence, Warehousing, & Analytics (BIWA) Special Interest Group. In 2011 LinkedIn identified Karl in the #1 position in their list of "Top Predictive Analytics Professionals". Prior to founding Rexer Analytics, Karl held leadership and consulting positions at several consulting firms and two multi-national banks. Karl holds a BA from The Ohio State University and a PhD in Experimental Psychology from the University of Connecticut.
Recent Project Leads:
Paul Gearanis a senior consultant with over 15 years of experience in analytic consulting, data mining, text mining, market research and social science research. Paul has extensive experience in survey research and has written several white papers comparing data collection methodologies. He recently designed and delivered research to help several of the largest US banks understand the needs of their consumer and business customers. Paul has designed reporting and provided analysis for a technology client’s nationwide B2B customer loyalty program. He has also built cross-sell and attrition prediction models for several retail banking clients, and conducted text mining to extract concepts from a client’s customer response data. Paul’s 2006 in-depth analyses of the NBA draft resulted in an appearance on ESPNews. Prior to joining Rexer Analytics, Paul was Director of Research at Maguire Associates, a consulting firm that serves educational organizations with a variety of survey research, segmentation and predictive modeling solutions for marketing, admissions & financial aid. Paul holds a BA from The College of the Holy Cross and an MA in Clinical Psychology from the University of Connecticut.
Heather N. Allen, PhDis a senior consultant with more than a decade of experience in predictive modeling, social science research, and market research. She has broad experience in the field of survey research for both educational and business clients. She also has extensive experience with econometric modeling, including several years spent creating optimization models for educational institutions seeking to enhance the value of their financial aid dollars. Heather has also worked in media market research, with a focus on branding segmentation and image tracking for clients such as Disney, HGTV and the Boston Museum of Science. At Rexer Analytics she has conducted customer loyalty analyses and segmentations for a large franchise business, built cross-sell and attrition prediction models for several retail banking clients, led the design and analysis of a US-wide 18 month customer experience tracking study, and led the validity and reliability assessment of a salesforce profiling instrument that has been used to evaluate over a quarter of a million salespeople globally. Heather holds a BA from Williams College and a PhD in Clinical Psychology from the University of North Carolina at Chapel Hill. Roberta Chicosis a senior consultant specializing in new product development, sales forecasting, the design of new analytic methodologies, product and pricing optimization, and the quantitative linkage of business policies/decisions to business performance.She has developed new analytic tools for pricing optimization, brand equity measurement, product positioning, and sales force deployment.She has also designed conjoint and discreet choice studies for product feature selection and advertising testing. Roberta has held a number of strategic and leadership positions, including Partner at Mercer Management Consulting, Group Head of Research Design at the Monitor Group, and SVP of Research & Development at BrandIQ. She has provided analytic solutions to GM, Bell South, IBM, Polaroid, Merck, and many other companies. Roberta's rich background also includes the founding of four companies and a variety of World Bank projects around the globe. Roberta conducted PhD studies in Economics at University of Wisconsin. Andrew Russo is both a senior marketing professional and a hands-on analytic innovator. He achieves client's marketing goals and improves marketing ROI through the development of analytic marketing strategies and the execution of the supporting marketing initiatives. These include integrated marketing communications and both in-market and new-market campaigns grounded in primary research, segmentation, analytic CRM, and Database Marketing methodologies. Andrew has surprised many clients with his innovative use of external data sources and technology to dramatically improve new customer acquisition programs. E.g., in 2008, Andrew led a team that developed an innovative lead incubation program that received Marketing Sherpa’s Gold Award for marketing innovation. Andrew's expertise also extends to the technology integration of direct marketing with customer contact channels such as web, call centers, IVR, and letter shops. He has provided consulting solutions to AT&T, American Express, Reliant Energy, IBM, Microsoft, Allstate, and many other companies. In additional to his extensive consulting experience, Andrew has held SVP and VP of Marketing positions at several companies including New England Life, BayBank, Alternative Investor (a Dow Jones company) and Intellidyn. Recently Andrew and Karl worked together and placed in the top 10 (out of 525 worldwide teams) in the 2011 DMA/Hearst Predictive Modeling Challenge. Andrew holds an MBA from Babson College, and also serves on the Babson College Alumni Board.
Robert Virgile is a consultant specializing in statistics and SAS programming. He has over 20 years experience providing programming services and statistical solutions to clients across a number of industry sectors. Bob has also developed and taught SAS courses, organized SAS competitions, written two books on SAS programming, and presented a dozen papers at SAS conferences and user group meetings.
Maria Skaletsky is a consultant specializing in statistical analysis and data mining. She is experienced in a wide variety of analytic software and the use of large research databases. In addition to her work at Rexer Analytics, Maria is a Research Consultant at the Academic Technology Center at Bentley University, where she is responsible for assisting and training faculty in research design, data gathering methodologies, and data analysis. Maria holds a BS in Business Management from St. Petersburg Academy of Business (Russia) and an MBA from Bentley University. She is currently a doctoral candidate at Bentley University, where she is working to complete her PhD in Business Analytics with a focus on data mining and text mining. Mayokun (Mayo) Soremekun is a consultant specializing in data mining, optimization and mathematical modeling. Her broad research experience includes teaching business calculus, consulting at Bentley University's Center for Quantitative Analysis, and interning with the United Nations Habitat, Monitoring and Research Division in Nairobi, Kenya. Mayo holds a Masters in Applied Mathematics from Western Carolina University. She is currently a doctoral candidate at Bentley University, where she is working to complete her PhD in Business Analytics with a focus on data mining and the study of the digital divide and opportunity inequalities.
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