Data Analytics Corp. specializes in converting data into information. Our philosophy is that data per se are “stuff” – things you collect, store, hoard, and hope are someday useful. At worst, they remain “stuff,” just poor information. Actionable, insightful, and useful information, rich information, is buried inside the data and must be extracted. There is an information continuum running from poor information to rich information with an analytical bridge connecting them. This is the bridge that many decision-makers struggle to cross. Data Analytics Corp. moves you across that bridge with deep analytics to extract the rich information you need. To learn more about Data Analytics Corp. or our approach to deep data analysis, reach out to our office.
Data Analytics Corp. moves you across the analytical bridge to rich information with:
Contact us today to learn how we can help move you across the Analytical Bridge.
Data Analytics Corp.’s philosophy is that data are critical for all decision making, but only as the foundation, the “clay” referred to in the famous Sherlock Holmes’ quote, for rich information. Data act as a veil that hides the rich information; that veil must be lifted.
There are many forms of data and many ways to lift the veil. In the end, all data are numbers or what can be encoded as numbers. Since all data are numbers, they can all be analyzed more or less the same way.
Data Analytics Corp. can handle all data. We follow a Universal Data Analysis Paradigm, which can be customized for a particular analysis effort, but applies to all data studies. To be practical, Data Analytics Corp. has a somewhat narrow focus – market and business applications – but the approaches and methodologies we employ to lift the veil of data can handle all problems.
“Data! Data! Data!” … “I can’t make bricks without clay.” – Sir Arthur Conan Doyle, The Adventure of the Copper Beeches (1982).
Walter R. Paczkowski has a Ph.D. in Economics from Texas A&M University. With 40 years of experience as an analyst at AT&T, including AT&T Bell Labs, and founder and Chief Data Scientist of Data Analytics Corp., he has a wealth of knowledge and experience about deep data analytics.
Walter is an accomplished and seasoned speaker and teacher who has presented numerous workshops, developed online courses, delivered seminars around the country, and given keynote presentations. He is also the author of two books on data analysis with a primary focus on market and pricing data.
Walter is on the faculty of the Department of Economics, Rutgers University (Adjunct) and was formerly with the Department of Mathematics & Statistics, The College of New Jersey (Adjunct).
