This is a demo store. No orders will be fulfilled.
Need for Next Generation Fraud Detection is Huge: Applying Purpose-Built Analytics to Spotlight Fraud in Real Time
Need for Next Generation Fraud Detection is Huge: Applying Purpose-Built Analytics to Spotlight Fraud in Real Time
RELEASE DATE
19-Aug-2016
19-Aug-2016
REGION
North America
North America
Deliverable Type
Strategic Forecasting
Strategic Forecasting
Research Code: 9B0F-00-0A-00-00
SKU: TE03662-NA-SF_18933
$3,000.00
In stock
SKU
TE03662-NA-SF_18933
Description
This report discusses how some types of fraud have grown more sophisticated. It also explains how the escalating number of advanced methods used by would-be perpetrators¯to gain ill-gotten revenue and/or to create mayhem for the organizations they target¯is capturing CSP attention. The report further explains how new generation fraud management tools, using big data concepts tied to data collection from data lakes and real-time machine learning analysis, are becoming a more effective means for identifying communications fraud. Through the machine-learning approach, initiated by companies such as Argyle Data, advanced forms of communications fraud can be identified faster, and new forms of fraud can be discovered more easily.
Table of Contents
Introduction
What is Communications Fraud Management?
Today's Revenue Threat Challenges
Why Fraud Detection and Identification Matter So Much
How the Magic Happens: Fraud Management Machine-Learning Style
Why Real-Time Fraud Detection and Why Argyle Data?
Stratecast - The Last Word
About ODAM
About Stratecast
About Frost & Sullivan
Popular Topics
This report discusses how some types of fraud have grown more sophisticated. It also explains how the escalating number of advanced methods used by would-be perpetrators¯to gain ill-gotten revenue and/or to create mayhem for the organizations they target¯is capturing CSP attention. The report further explains how new generation fraud management tools, using big data concepts tied to data collection from data lakes and real-time machine learning analysis, are becoming a more effective means for identifying communications fraud. Through the machine-learning approach, initiated by companies such as Argyle Data, advanced forms of communications fraud can be identified faster, and new forms of fraud can be discovered more easily.
Deliverable Types | Strategic Forecasting |
---|---|
No Index | No |
Podcast | No |
Author | Karl Whitelock |
WIP Number | 9B0F-00-0A-00-00 |
Is Prebook | No |