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India-based CSP uses analytics to predict revenue and negotiate
the best billing rates for mobile agreements with other providers
by providing insight into the
profitability of agreements with
of billing statements reconciled
in near-real time
and customer satisfaction with
more accurate and timely billing
Business Challenge: To provide mobile phone service seamlessly to its
customers across India, this communications service provider (CSP) signed
inter-circle roaming (ICR) agreements with two other CSPs. These agreements
required complex billing processes that its existing systems could not manage.
The Smarter Solution: The CSP has implemented an advanced billing and
analytics platform that provides 360-degree visibility into predicted revenue for
each agreement. It can now negotiate the agreements with greater insight into
revenue-generation capacity, allowing it to set the best billing rates based on
parameters such as location type, population and subscriber density.
“Timely analysis of the ICR billing agreements ensures that our customers get
the highest level of service at the best rate, whether on our network or another.”
A global bank based in India uses predictive modeling to proactively
92% shorter time
to produce risk-profile reports
in sales team productivity from
new customer segmentation
results from customer
Business Challenge: The bank’s homegrown risk analysis solution could no
longer handle the increased complexity and transaction volumes involved in
managing risk for the bank, nor did it comply with Basel II recommendations.
The Smarter Solution: An integrated risk modeling and predictive analytics
solution analyzes both historical and current customer data to enable the bank to
identify trends and patterns that indicate credit worthiness and risk. These
patterns can be captured and used to create different customer segments,
allowing the bank to target them with up-sell and cross-sell offers. The analytics
engine constantly refines the data models to improve the solution’s predictive
analytics and comprehensive scripting capabilities.
“The bank now has an effective, efficient decision-support tool for assessing
customer risk and evaluating our overall portfolio risk.”
—Deputy general manager, data warehouse team