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Identifying a critical mass of customers having similar behaviour is the first step in any analytical frame work. Segmentation of the customer base using multiple variables – demographic, psychographic and behavioural – is a standard analytical approach used in many industry to identify the customers with similar behaviour.Unlike other tools which do not allow the user to interactively build the segments our segmentation module provides two options
Automatic segmentation of the customers based on statistical algorithms
Interactive segmentation using domain expert’s judgment and statistical algorithms
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Clustering tree - It shows how the customers are segmented based upon the risk factor. The High risk customers are further segmented into High risk Group 1 and high risk group 2.
Once the best possible grouping of the customers into segments having similar behaviour within the group and distinct behaviour between the groups is done, the segments can be analyzed and profiled. | 
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Rule based analysis of segments
This module will analyze the segments for risks and opportunities within the segments. The analysis will be based on the user supplied analysis rules. There are rules to define opportunity and risk. Based upon this rules, segments are profiled to identify them. |
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| Benefits |
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Seamless Data Integration: ABIBA’s systems ETL tool automates the data integration processes
Interactive Solution
Better understanding of Customers
Identification of Opportunities and Risk
Predictive capabilities
Supports Enhanced Analysis |
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Customer churn is one of the most pressing issues for telecommunications service providers. |
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Response modeling is a generic analytical technique to support a number of business... |
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The telecommunications industry loses in excess of billions annually in the form of bad debt. |
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