Data Mining is the process of exploration and analysis of large quantities of data in order to discover meaningful patterns and rules. It is an increasingly important tool to transform data into information and information into action.

Our Data Mining service offers Market Basket Analysis (for retail companies), Customer Relations Management: Profiling and segmentation (for retail companis etc telecom companies etc), Credit scoring and fraud detection (e.g for bank credit cards, etc) Health Screening to predict diseas (e.g Heat diseas, diabetes, etc).

We use Decision Tree, Logistic Regression and Artificial Neural Network Model based mining for Predictive modelling (Supervised) as well as Clustering and Association Rules for Unsupervised Machine Learning.

Preferred Data Mining Methodology:

We follow Cross Industry Standard Process (CRISP) for Data Mining is a process that is applicable in diverse industry sectors.  The methodology makes large data mining projects faster, cheaper, more reliable and more manageable.

Diagram: CRISP for Data Mining

The life cycle of a data mining project consists of six phases. The sequence of the phases is not strict. Moving back and forth between different phases is always required. It depends on the outcome of each phase which phase, or which particular task of a phase, that has to be performed next. The arrows indicate the most important and frequent dependencies between phases.

If you would like to find out some more information about our Data mining services then please feel free to contact us.