Data Mining is one of our principal core competencies. We use the best Data Mining tools in existence, specifically designed to answer our client's needs.

Each industry has its unique requirements, competitive challenges and business opportunities. Our data mining tool has been implemented and has demonstrated its effectiveness in a wide variety of different vertical applications.

• Telecommunications;
• Financial services;
• Insurance;
• Health.

Our data mining tool has been used to:

• Detect price elasticity;
• Explore customer sensitivity to product changes;
• Optimize processes.

With our data mining tool we instantly transform your data into knowledge, and permit you to improve your strategic and operational decision-making processes and enhance your corporate performance.

Key components

Regression
Our data mining tool uses a proprietary regression algorithm to build predictive and descriptive models. These models can be used for scoring, regression, and classification. Unlike traditional regression algorithms, ours can safely handle high numbers of variables (over 10,000). It provides indicators and graphs to ensure that you can easily assess the quality and robustness of your models.
Benefits: The data mining process is completely automated. The models provide drill-down into individual variable contributions.

Segmentation
Our data-mining tool discovers natural groupings or clusters in a set of data. It is optimized to find clusters that are related to a specific business question. It describes the properties of each group and identifies how they differ from the general population. It provides indicators for model quality and reliability.
Benefits: It automatically reveals the groups that are meaningful to the specific business questions you’re trying to answer.

Series
Our data-mining tool predicts meaningful patterns and trends in your data over time. It use your chronological data to forecast the results of the next periods of time. It identifies the trend as well as periodicity and seasonality to provide accurate and reliable forecasts.
Benefits: Adjust for patterns in your business and predict supply shortages before they occur.

Association rules
Our Data-mining tool generates rules that identify patterns in transaction data describing which events frequently occur together. Association rules associate a particular event, such as the purchase of a particular product, with a set of conditions, e.g., the purchase of several other products.
Benefits: This allows managers to make important decisions on their product mix, promotional offering, shelf space allocation and more.

Coder
Our data-mining tool automatically prepares and transforms data into a format suitable for use in our analytic framework. It translates nominal and ordinal variables, automatically fills in missing values and detects out-of-range data.
Benefits: Automated data preparation frees you to spend more time on model exploration and deployment.

Event Log
Our data mining tool aggregates events into periods of time. It allows integrating transactional data with demographic customer data. It is used in cases when the raw data contains static information such as age, gender or profession of an individual, and dynamic variables, such as spending patterns or credit card transactions. Data is automatically aggregated within user defined periods without programming SQL or changing database schemas. It combines and compresses this data to make it available to different components.
Benefits: It allows you to integrate additional sources of information on the fly to improve your model quality.

Sequence Coder
Our data-mining tool aggregates events into a series of transitions. For example a customer click-stream from a web site may be transformed into a series of data for each session. Each column represents a specific transition from one page to another. These new columns of data can be added to existing customer data and are made available for further processing.
Benefits: We can tap into previously unused sources of information to build better predictive models.

Model Export
Our data-mining tool generates SQL, C, VB, SAS and other output code corresponding to the model built with our data-mining tool Framework. Models can easily be integrated into an application that supports these code types. This makes scoring independent from the modeling system and allows for very rapid deployment of models into production.
Benefits: Our models are rapidly integrated into your databases, applications or business software without requiring our data-mining tool analytic framework. It also allows deployment of the models on platforms different from the one on which they were generated.