Devyani Sadh, Ph.D.
Devyani Sadh, Ph.D is CEO and Head of Client Relations at Data Square. She has been with the company since its inception. Dr. Sadh, a leader in harnessing data power, specializes in the unique fusion of strategic marketing consultation with web-enabled database architecture and advanced analytical technologies. Dr. Sadh has successfully implemented her expertise in driving numerous programs for customer acquisition, growth, satisfaction and ultimately profitability. Dr. Sadh has served as Lecturer at several prestigous universities including the University of Connecticut and New York University. She is currently Chair of the DMA's Analytics-CRM Council, the largest direct marketing organization and teaches DMA's prestigious CRM and Database Marketing Seminar.
Prior to Data Square, Dr. Sadh was a partner at Wunderman, Sadh & Associates and Head of Statistical Services at MIT, an Experian company. Devyani Sadh is a First Class First Rank honors graduate of the University of Bombay. She is a phi kappa phi graduate of Fordham University where she earned her doctorate in applied statistics (Psychometrics). Later she acquired specialized training in database technologies and artificial intelligence methods including neural networks, genetic algorithms, and fuzzy systems.
Dr. Sadh has published several articles on the creative use of multivariate statistics, and speaks frequently at database marketing conferences on topics such as Web Mining, Integration of Primary and Secondary Research and B2B and B2C
Customer Acquisition and Retention. She has a track record of translating advanced theoretical practices into actionable business solutions for clients such as America Online, Ameritech, American Express, Bell South, Disney, GE, IBM, Kraft General Foods, Lotus Corporation, Seagram Americas, SmithKline Beecham, Sun Microsystems, Mitsubishi, Midas, Michelin, MyPoints, and Unilever.
C. Olivia Parr Rud
Olivia Parr Rud is Executive Vice President at Data Square. She has been with the company since its inception. She has over 20 years experience in database marketing with a 10-year emphasis in data mining, modeling and segmentation for the credit card, insurance, telco, retail and catalog industries. Using a blend of her analytic skills and creative talents, she has conducted a wide range of analyses and developed solutions for her clients in the areas of acquisition, retention, risk and overall profitability for direct mail, telemarketing and the web.
Prior to joining Data Square, Olivia was Vice President of Analytic Services for DirectCom where she was responsible for the daily management and continued expansion of the firm's analytic technology capabilities, particularly its proprietary predictive modeling, profitability assessment and risk measurement technology. Olivia has also held senior management positions at Fleet Credit Card Bank, Advanta Credit Card Bank, National Liberty Insurance and Providian Financial.
Olivia holds a Master of Science Degree with honors in Decision Sciences with an emphasis in Statistics from Arizona State University. She also holds a BA in Mathematics from Gettysburg College. She is founder and president of SAS Institute's Data Mining Users Group, with over 800 members worldwide. She is a frequent speaker at data mining and marketing conferences on a variety of topics including Predictive Modeling, The Blending of Database Marketing and Market Research, Data Warehousing for Data Mining and Data Preparation for Data Mining. She has also led workshops in Creative Thinking and Managing Change.
Raj Kumar is Chief Financial and Enterprise Services Officer of Data Square. He has been with the company since its inception. He is responsible for financial operations, human resources, information technology and e-business functions and activities worldwide.
Raj joined Data Square at its inception as Chief Financial Officer. He expanded his role to Chief Financial and Enterprise Services Officer in 2004.
Prior to joining Data Square, Raj worked in a management role at Metropolitan Life.
Raj is a B.Com Honors graduate of Delhi University. He holds a Masters Degree in Business Administration from the University of Denver with a concentration in Management Information Systems (MIS). In addition, he has completed course work for an MBA with a Finance specialization.
Michael is Senior Vice President and Solutions Executive at Data Square. Michael is a seasoned database marketing executive with deep experience in the development and growth of companies that specialize in database marketing, technical consulting and software design, advanced analytics, market research, marketing communications, CRM, and process consulting. Mike is not only an accomplished, hands-on technologist, statistician, analytic programmer, and research executive with a solid record of achievement across a range of industry verticals but also a superior communicator with skills honed by seven years of graduate and undergraduate teaching experience. He has designed and built numerous, comprehensive data warehouses from multiple primary (custom and syndicated), secondary, third party, customer, and GIS databases – both for consumer and B-to-B application and budgets ranging up to $12MM. Within his engagements, he demonstrates the ability to establish the "business objective --> methodological design/application --> business solution --> implementation and ROI" continuum collaboratively with clients.
Over his 30+ year career he has served clients such as Cablevision, Booz|Allen|Hamilton, GfK, IBM, Microsoft, Williams, Chrysler, Nissan, Mitsubishi, TD Ameritrade, AMEX, Columbian Financial Group, Centrix, MetLife, New York Life, Wells Fargo, SONAT, Independent Health Corporation, World Gold Council, Nestle, Levitz, Barnes&Noble.com, Dealertrack, Earthsense, Travelocity, McDonalds, LG, Microsoft, Constant Contact, Blue Cross/Blue Shield, Medicaid, Baxter, Franciscan Childrens Hospital, Pfizer, Merck, Eli Lilly, EPRI, Genzyme, Bayer, Conde Nast and Post Media.
He is the author and inventor of a patent for the bridging technology that enables the accurate projection of market research insights onto populations of sales prospects. He has successfully completed scores of successful projects in risk analysis, web analytics, market research, marketing analytics and targeting, supply chain optimization, demand forecasting. In addition, he has designed sophisticated web analytics methods that optimize online promotional/navigational patterns, online product bundling, product pricing, and sales forecasting. Furthermore, he has integrated social media (listening post) data with transactional data to measure “buzz” associated with advertising, PR, and, ultimately, sales transaction data.