Data Analytics

Need assistance with data discovery and analytics? Need guidance on how to make sense of data? Despite the wealth of data available to us today, data is often underutilized due to time constraints and formulaic approaches that preclude creative and thoughtful data mining. I specialize in the efficient and careful extraction of useful information from data - typically starting with conversations with you to clarify your business/agency needs and goals. I will then provide a recommended analytic plan with specific deliverables tailored for you. I strongly believe in absolute transparency in data processing and analytics; so all steps will be documented to withstand the scrutiny of your intended audience.

Prior to modeling, much patience and meticulous attention is needed to explore the appropriate transformations and imputations needed on pertinent variables. I am familiar with data enhancement procedures such as multiple imputations of missing data, transformations, optimal scaling, and data ipsatization. I hold an extensive portfolio in advanced modeling methods – including predictive modeling, segmentation analysis, choice modeling, multi-level/hierarchical modeling, market landscape perceptual mapping, monadic designs, full factorial designs, market sizing and forecasting, and much more. I keep apprised of the latest knowledge and developments in statistics, psychometrics, econometrics, and web analytics to ensure that I have at my disposal the full spectrum of available procedures for data analysis.

Over the past decade, I have worked intensively with self-reported data from survey research, as well as behavioral data on physician's prescription choices, consumer web views and usage / purchase patterns, online social interactions, administrative records, patient flow through lines of treatment etc. I am adept at handling cross-sectional data cuts as well as longitudinal panel data. I have also worked on the evaluation and re-analysis of data from previous research, when you need to reap greater returns from existing data sources. Data analytics can often provide quick and robust answers given the right approach.