Successful companies are focused on
implementing customer-centric processes and technologies
to optimize customer relationships. Customer Relationship
Management (CRM) is ranked as a top priority
for organizations striving to enhance profitability,
revenue growth and customer satisfaction. Companies
can now acquire and serve customers across a wide
range of channels.
As a result, increased competition and readiness mandate
executives to gain a 360-degree customer understanding
to facilitate satisfaction and acquisition. An understanding
of the potential value and profitability of acquiring,
satisfying and retaining customers requires knowledge-based
solutions that identify key customer requirements.
The new insights surrounding customers can make the
difference between winning and losing in today's
global economy.
CRM is an enterprise business strategy encompassing a broad range of processes and functions, including call center management, sales force automation, e-commerce, field service and e-mail management.
At ThinkAnalytics, the CRM market is viewed in two segments:
CRM front-office solutions have been a primary
focus for organizations; and unfortunately, very little emphasis
has been placed on customer analysis. And even though many companies
have successfully implemented CRM front-office capabilities to
provide new and immediate customer interaction channels, these
same companies are missing the value generated by analyzing new
and existing customer information.
Without Customer Relationship Analytics(CRA),
organizations lack the ability to discover meaningful correlations,
patterns and trends required to recognize return on investment
from CRM front-office investments and existing customer data.
CRA helps organizations understand customer needs,
differentiation, segmentation, loyalty, value and marketing effectiveness.
To analyze this complete customer picture, information must be
extracted from operational, ERP and front-office CRM systems and
be combined with external market information. The analysis of
such information, in conjunction with the business strategy, drives
customer-focused business initiatives forward.
The analytical process should automatically analyze customer data,
identify problems, predict future events, identify key initiatives,
and communicate enriched customer and business information. Total
CRA can only be achieved through an integrated process that understands
the relationships and effects of every customer behavior function.
For instance, achieving higher profit margins by increasing price
will inevitably increase customer attrition; but if this same
objective is achieved through cost reduction, it might easily
put crucial marketing campaigns at risk. How do you make the best
business decisions? Good business decisions can only be made if
pertinent data and analytical capabilities are in hand.
The massive customer data generated by traditional
customer-focused systems and e-commerce solutions adds complexity
to the analytical process. It is impossible to manually analyze
vast quantities of customer data in order to provide critical
and timely responses. Solutions must be automated and intelligent
in order to not only mimic human analysis but also to improve
it.

The customer picture is very much like a jigsaw
puzzle - not until all pieces are in place can the picture
be understood. ThinkAnalytics' application suite provides the
essential piece of the puzzle: customer intelligence that enables
organizations to interact with customers more effectively and
add value to the large quantities of customer data stored in CRM
solutions, data warehouses or e-commerce databases.
By closing the gap between customer interaction and business goals
and providing a 360-degree customer understanding, CRA
is becoming an essential business process for organizations focused
on customers as a core corporate strategy.