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IBM Counter Fraud Management for telecommunications

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Overview

Telecommunications companies are losing five percent of their revenue each year to fraud. Fraudsters are after free smartphones, long distance, premium services and confidential customer information resulting in $35 to $40 billion in losses from fraud worldwide.

Detecting and preventing fraud is just the beginning. IBM's Advanced Analytics platform helps customers predict and prevent customer churn and deliver real-time marketing activities.

Learn more about IBM Analytics

Transcript

0:01old 0:04telecommunication carriers are losing as much as 5 percent of their revenue 0:10each year to fraud rosters are after 0:13Pre smartphone apps long distance and premium services 0:16confidential customer information and 0:20profits from illegally reselling or diverting phone services 0:23this adds up to a staggering 35 to 40 billion dollars in losses from prague 0:29worldwide 0:30IBM counter fraud management 0:33attacks this problem with a comprehensive approach with counter 0:36fraud management 0:37organizations can detect possible fraud within a business process 0:42respond by applying mealtime fraud analytics 0:45discover hidden brought in big data repositories 0:48and use investigative analysis to take action on new intelligence 0:52the IBM approach to fraud management also scales to handle the billions of 0:57pieces of communication data that are created 0:59each day including data related to call histories 1:03app usage and location IBM now fact resource works data collector 1:08analyzes Mobile IP based communications at gigabit speed 1:12IBM now factory smart works 1:15aggregates in stores data the carrier's network 1:19as well as private PBS's generates records about call recordings 1:23and other events in their network 1:26I DM InfoSphere streams performs real-time analysis on data 1:33I DM operational decision manager clears accounts have suspicions 1:37war escalates accounts to IBM case manager where knowledge workers confirm 1:41and take action on fraud 1:45IBM InfoSphere big insights and IBM SPSS 1:48send feedback to detect new fraud patterns 1:53thousands of new accounts are created every month 1:55these are monitored for the first 14 days to ensure legitimacy 2:00in addition 21 dimension digital signatures are created for all new 2:04accounts 2:05counter fraud analysis compares these to the signatures have known fraudsters 2:10give parents a recognized alerts are triggered and more detailed analysis 2:15is performed today 2:18two new accounts are flag for calling a number that is listed as potentially 2:21fraudulent 2:22I DM InfoSphere streams create a record for both accounts in IBM case manager 2:28reviewers determine if the evidence supports fraud 2:32they find that the suspicious number is a legitimate bank branch 2:36the first case and the banks number are cleared 2:39however deeper analysis into the second account 2:43uncovers other suspicious numbers that work all the case 2:47escalates to a senior fraud analyst who uses I DM 2:51I to to confirm fraud scenarios 2:54he finds the data for the account is invalid and determines that this is most 2:59likely a fraudulent account the account is suspended 3:03until the user can verify the invalid data detecting and preventing fraud is 3:09just the beginning 3:10leverage the advanced analytics platform from 3:13IBM to predict and prevent customer churn deliver real-time marketing offers 3:19and turbocharger network performance to find out more 3:23visit www dot IBM dot com forward slash BA