Building Customer Intelligence

Step One- CIManalyze customer behavior and knowing them
CIM (Customer Information Management) is thebetter for a more focused market campaigns
first step when transforming to asuited to different customer segments. From the
Consumer-centric Enterprise. The basic steps that'single view' customer data repository, different
make any company reach its awareness stagesegments are created on the basis of customer
are creating rich consumer data and Businessvalue to the enterprise. With the various tools,
Intelligence applications to leverage that client data.relationship between individual product/service and
Building consumer database is the most critical andcustomer can be directly mapped to profitability.
challenging function of CIM. 'Single customer view'Segmentation is mainly the end of data mining.
is what most of the enterprises target whileThe application service architecture is also
implementing any customer solution.designed to accommodate or leverage web
Internally, the disparate prospect view ofservices and SOA in the enterprise.
different departments increases the gap betweenStep Three- Insight to Action
the consumer and their satisfaction. The disparityTransforming the Customer Insight to actionable
only increases with growing mergers andtasks is the main focus. It is the last and vital
acquisitions. Thus, CIM includes CDI (Customerstep of transformation into a customer-centric
Data Integration) as a primary function to provideEnterprise. The key questions to focus after an
accurate, reliable and timely client data silos. Theinsight would be:
critical CIM approach is preparing the reference• How would you transform this insight into
architecture and best practices for its data,actions that give you the desired result?
integration, impacted business processes, strategic• How do you align your enterprise goals based
and operational insight, or analytics. The applicationon these insights?
service architecture is also designed toInsight to Action is about making everything 'right'.
accommodate or leverage web services and SOAAfter each lesson learned, just like there are
in the enterprise.rectifying efforts after a customer insight, an
Step Two- Customer Insightenterprise focuses on making its processes,
Intelligent analysis of aggregated client data ismarketing endeavors and efforts aligned to
Customer Insight. It enables identification ofcustomers. Customer actions and activities are
relationships between individual customers andfine tuned on the basis of consumer
product / service profitability. With the growingdemographics, lifestyle and affluence. Returns
complexity and value added personalized servicefrom each campaign are measured and the
demands across all customer facing touch pointsfindings used to improve future campaigns based
there is a need to quickly attain the capability ofon customer response.
'Intelligent Customer Insight'. It enables OLAP &The insight to action starts with the operational
Data Mining Analytics, measuring Customer Valueand strategic Customer Insight driving decision-
and visibility to all historic customer activitymaking in all departments like BI Reporting and
enterprise-wide.Analytics. It then focuses on building the ability of
One of the most critical functions performed byan enterprise to capture all company actions and
Customer Insight is Customer Analytics. It includesalso the customer related activities and actions.
data mining, segmentation, and building a customerBesides capturing customer actions, it is also
analytics architecture. With customer analytics, ancritical to capture customer feedback, both
enterprise can enhance cross selling and up sellingnegative and positive, from all customer
market opportunities. It is the technique totouch-points.