Data Mining

Data Mining is a term that refers to the analysis of large sets of observational data with the goal of discovering knowledge. The data sets of interest are often huge, in terms of the number of records or the number of variables involved. They also tend to be observational or historical data sets that were not collected directly for the goals of the intended study. As such, these data sets tend to lack the integrity and relevance of data that is collected directly for the study of interest. However, the analysis of such data can still yield incredibly useful information.

Although many techniques are useful in data mining, techniques that deal well with messy and unruly data are especially valuable. Tree-based methods, neural nets, and cluster analysis are useful for modeling such data. Visualization methods and methods that help reduce the complexity of the data are also of great value.


NHG also provides support and services in the following areas:

Lean Six Sigma Implementation and Deployment
Lean Six Sigma Champion, Blackbelt, and Greenbelt Training
Design for Six Sigma (DFSS)
Design of Experiments (DOE)
Robust Design
Failure Modes and Effects Analysis (FMEA)
Measurement Systems Analysis (MSA, Gage R&R)
Process Stabilization and Control
Continuous Improvement and Problem Solving
Data Mining


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2 Senter Drive
Brookline, NH 03033
(P) 603.315.3518
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