Today sees the launch a raft of
additional features for the Lavastorm Analytics Platform, specifically
designed for the growing complexity of fraud threats. The expanded
Resolution Center and Transaction Warehouse modules provide additional
functionality for communication service providers (CSPs) to detect,
analyze and prevent new types of complex fraud through a single
platform, ensuring that they are on the front foot in the battle against
fraud.
With each new service launched by CSPs, new methods of usage-based fraud
develop; and most recently these activities are taking the form of
social media or SIM card fraud. These new risks place increased demands
on analytics platforms, requiring that they cope with exponential
increases in data volumes while simultaneously detecting and
appropriately responding to a growing range of fraud attempts.
The updates to the Lavastorm Analytics Platform provide an extra layer
of customized real-time fraud management, designed to uncover and act on
fraud in the communications industry. It enables CSPs to review call
detail records and other event data from any data source including
switches, billing systems and rating systems through a single interface.
The platform also allows workflow and case management to be managed in
near real-time through a graphical web-based UI for an extra layer of
accessibility.
Drew Rockwell, CEO, MDS commented: “With the rapid pace of the telecoms
market today and the ever-evolving fraud threat, businesses need agile
and robust systems to be able to share information and identify patterns
easily across the business. Speed is of the essence in reacting to
fraudulent activity and the updated Lavastorm Analytics Platforms
enables businesses to act on accurate, in-depth information faster than
ever.
“The new platform easily adapts to changing threats, as well as changes
in internal business requirements such as case management priorities and
financial goals, enabling users to create and schedule tailored reports
across the business, allowing internal teams to easily flag potential
threats and share the information easily with other departments that may
be affected by similar threat patterns.”
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6 Dec 2011