First, we recognize the need for confidentiality and the proprietary nature of information ownership. Then we work with our clients to optimize the Design of Experiment (DOE), (underline and link) to maximize data quality, and minimize the cost of the data collection. When the data already exist; we perform the appropriate analysis, taking into account the method of collection. With large data sets, we use a variety of Data Mining techniques. Some of these techniques are predictive and some are classification.
Our clients require a diverse range of data analysis. Mason Statistical Consulting Group meets this need with a full range of data analysis services. In some cases, our work begins before any data has been collected, determining significant factors in the process. The proper method of analysis may include some or all of our services. This includes:
Finally, to develop in-house statistical analysis capability, we generate workshops and courses to train clients to manage their data. Our courses are focused on our clients practical needs, and, along with the rest of our work, demonstrate Mason Statistical Consulting Groupís great strength of combining cutting edge theory with its real-world application using the latest in statistical software.
Data analysis is the act of transforming data with the aim of extracting useful information and facilitating conclusions. Depending on the type of data and the question, this might include application of statistical methods, curve fitting, selecting or discarding certain subsets based on specific criteria, or other techniques
Data Mining has been defined as "The nontrivial extraction of implicit, previously unknown, and potentially useful information from data" and "The science of extracting useful information from large data sets or databases". Although it is usually used in relation to analysis of data, data mining is an umbrella term and is used with varied meaning in a wide range of contexts. It is usually associated with a business or other organization's need to identify trends.