"Make yourself useful, doing something hard, with good people." (Kelly Corrigan)

Nestler Analytics provides a full range of services in the field of business analytics and operations research. We offer our clients solutions and technologies to turn their available data and information into knowledge that provides a competitive edge.

The Institute for Operations Research and Management Science (INFORMS) recently defined analytics as “the scientific process of transforming data into insight for making better decisions.”

One View of Analytics

Analytics includes three categories: descriptive, predictive, and prescriptive.

One way to categorize analytics is by the question answered (and appropriate techniques), as follows.

  • Descriptive - what has happened?(data modeling, regression)
  • Predictive - what could happen in the future?(data mining, forecasting)
  • Prescriptive - what should happen in the future? (optimization, simulation)

Although this framework may appear hierarchical in nature, it does not imply that any of the methods are superior to one another; rather it highlights the importance of using a suitable technique for the problem at hand.

Our staff has extensive experience in developing solutions to analytical tasks in various application areas, using data analysis and modeling, statistics, forecasting, data mining, simulation, and optimization. Our primary areas of expertise are in building simulation and optimization models within Microsoft Excel using Frontline Systems’ Analytic Solver Platform and data mining with XLMiner; we also use R and other open-source technologies when appropriate.

DISCLAIMER:This is my personal website and blog. While I am currently an officer in the United States Army, any opinions posted here are my own and do not represent a position of the United States Government, the Department of Defense, or the U.S. Army.
scott [at] nestler.com Nestler Analytics 2014