Intelligent analysis of aggregated customer data is Customer Insight. It enables identification of relationships between individual customers and product / service profitability. With the growing complexity and value added personalized service demands across all customer facing touch points there is a need to quickly attain the capability of ‘Intelligent Customer Insight’. Customer insight enables OLAP & Data Mining Analytics, measuring Customer Value and visibility to all historic customer activity enterprise-wide.
One of the most critical functions performed by Customer Insight is Customer Analytics. It includes data mining, segmentation and building a customer analytics architecture. With customer analytics, an enterprise can enhance cross selling and up selling market opportunities. It is the technique to analyze customer behavior and knowing them better for a more focused market campaigns suited to different customer segments. From the ‘single view’ customer data repository, different segments are created on the basis of customer value to the enterprise. With the various tools, relationship between individual product/service and customer can be directly mapped to profitability. Segmentation is mainly the end of data mining.
With more than two decades of on-time/on-budget delivery, Infogain has built strong, proven, repeatable methodologies and worldwide delivery capabilities for CRM/Customer Support, Business Intelligence, Mobility and Collaboration.
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