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.
Founder:
Karl Rexer, PhD has broad experience in analytic consulting that includes analytic strategy & leadership, predictive modeling, statistics, data mining, direct marketing, CRM, and market research. He has provided analytic solutions to corporate, academic, and military clients since 1990. Karl's corporate clients have included retail, airline, technology, telecommunications and financial services companies. Before 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 Gearanhas 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 ESPN-News. 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, PhDhas 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. In addition to her hands-on analytic skills, Heather has extensive client management and presentation experience, including numerous presentations for clients, Boards of Trustees and conferences. Heather holds a BA from Williams College and a PhD in Clinical Psychology from the University of North Carolina at Chapel Hill. Dustin Hux has over a decade of applied statistical modeling and data mining experience. He has developed sophisticated analytic solutions for many corporate clients and several scientific domains, including fraud detection, cross-selling, customer profiling, product bundling, direct marketing, biometric identification, stock selection, market timing, and multidimensional atmospheric modeling. Dustin has reviewed several data mining tools for leading software vendors, is a member of the ACM-KDD data mining standards, services, and platforms committee, and is familiar with virtually every major data mining tool. He is a PhD candidate in Environmental Sciences at the University of Virginia. Dustin is an employee of partnering firm Elder Research. Andrew Russo is a senior marketing professional experienced in improving marketing ROI through the development and execution of marketing strategy and supporting tactics. These include integrated marketing communications and in-market campaigns grounded in primary research, segmentation and analytics, and CRM and Database Marketing methodologies. 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, Dow Jones, AllState, and many other companies. Andrew holds an MBA from Babson College. Cheryl Howard, PhDhas nearly 20 years of experience in the areas of data mining, machine learning, and signal processing. She recently was the lead technical advisor on a highly successful fraud detection project for a U.S. Government agency. Cheryl has also built tools to discover and detect brokerage fraud and money laundering. Previously, as a visiting researcher at the Institute for Applied Knowledge Processing (FAW) in Ulm, Germany, she applied adaptive machine learning to industrial quality control, medical diagnosis, and physical security. Cheryl holds graduate degrees in Computer Science from George Washington University. Cheryl is an employee of partnering firm Elder Research. Eric Siegel, PhD has partnered with Rexer Analytics to deliver data mining training and analytic client solutions. He was formerly a computer science professor at Columbia University, where he advanced the fields of machine learning performance optimization, text mining, and data visualization. Eric has also co-founded two NY-based software companies for customer/user profiling and data mining. Eric holds a PhD in Computer Science from Columbia University. In addition to partnering with Rexer Analytics, he recently founded the west-coast-based consultancy: Prediction Impact. Roberta Chicosis a market research consultant specializing in new product development, sales forecasting, and the successful launch of new products. She has developed new analytic tools and has designed conjoint and discrete choice studies for product feature selection, advertising testing, brand equity measurement, target segmentation, concept testing, product positioning and sales force deployment. Roberta has held a number of strategic and leadership positions, including Partner at Mercer Management Consulting, and Group Head of Research Design at the Monitor Group. She has provided analytic solutions to GM, Bell South, IBM, Polaroid, 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.