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About Fraud Analytics
Fraud can be defined as an illegal activity that is intentional and uses misrepresentation to produce a financial gain to an individual or an organization. Fraud is on the rise and has become a boardroom issue these days. Fraud happens in different parts of the world, and fraudsters use very sophisticated and technology-enabled techniques. Fraud can be of various types, such as fraudulent transactions (both online and offline), inaccurate credit applications, identity thefts, and false insurance claims. Some of the major victims of fraud are credit card companies, insurance companies, retail merchants, telecom service providers, and business-to-business suppliers. Fraud analytics helps in analyzing various forms of stored data and gathered information and in converting them to actionable insights, thereby to detect fraud and take necessary actions required.
Technavio's analysts forecast the global fraud analytics market to grow at a CAGR of 24.04% over the period 2014-2019.
01. Executive Summary
02. List of Abbreviations
03. Scope of the Report
03.1 Market Overview
03.2 Product Offerings
04. Market Research Methodology
04.1 Market Research Process
04.2 Research Methodology
05. Introduction
06. Market Landscape
06.1 Market Overview
06.2 Market Size and Forecast
06.3 Five Forces Analysis
07. Segmentation by Solution Type
08. Segmentation by Application
09. Market Segmentation by Deployment Mode
09.1 Global Fraud Analytics Market by Deployment Model 2014-2019
10. Geographical Segmentation
10.1 Global Fraud Analytics Market Segmentation by Geography 2014
11. Key Leading Countries
11.1 US
11.2 Germany
11.3 Japan
12. Buying Criteria
13. Market Growth Drivers
14. Drivers and their Impact
15. Market Challenges
16. Impact of Drivers and Challenges
17. Market Trends
18. Trends and their Impact
19. Vendor Landscape
19.1 Competitive Scenario
19.2 Leading Vendors Analysis
19.3 Other Prominent Vendors
20. Key Vendor Analysis
20.1 CSC
20.1.1 Key Facts
20.1.2 Business Overview
20.1.3 Business Segmentation by Revenue 2013
20.1.4 Business Segmentation by Revenue 2012 and 2013
20.1.5 Geographical Segmentation by Revenue 2013
20.1.6 Business Strategy
20.1.7 Recent Developments
20.1.8 SWOT Analysis
20.2 Emc²
20.2.1 Key Facts
20.2.2 Business Overview
20.2.3 Business Segmentation by Revenue 2013
20.2.4 Business Segmentation by Revenue 2012 and 2013
20.2.5 Geographical Segmentation by Revenue 2013
20.2.6 Business Strategy
20.2.7 Recent Developments
20.2.8 SWOT Analysis
20.3 FICO
20.3.1 Key Facts
20.3.2 Business Overview
20.3.3 Business Segmentation by Revenue 2014
20.3.4 Business Segmentation by Revenue 2013 and 2014
20.3.5 Geographical Segmentation by Revenue 2014
20.3.6 Business Strategy
20.3.7 Recent Developments
20.3.8 SWOT Analysis
20.4 SAP
20.4.1 Key Facts
20.4.2 Business Overview
20.4.3 Business Segmentation
20.4.4 Business Segmentation by Revenue 2013
20.4.5 Business Segmentation by Revenue 2012 and 2013
20.4.6 Geographical Segmentation by Revenue 2013
20.4.7 Business Strategy
20.4.8 Key Developments
20.4.9 SWOT Analysis
20.5 SAS Institute
20.5.1 Key Facts
20.5.2 Business Overview
20.5.3 Revenue Segmentation by Industry 2012
20.5.4 Geographical Segmentation by Revenue 2012
20.5.5 Business Strategy
20.5.6 Recent Developments
20.5.7 SWOT Analysis
21. Other Reports in this Series
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