关键词：风险分析；有效的工具；控制风险；风险预防；风险自留
摘 要：Risk analytics is an effective tool to control risk and use various assumptions, including risk prevention and risk retention, to manage uncertain events. Risk can be financial, operational, or strategic in nature. Financial organizations have started developing risk analytics models and formulas to hedge against unforeseen risk and reduce regulatory capital. Many other organizations also develop risk models to optimize and mitigate risks that can negatively affect the organization's products or services. The risk analytics process includes priority-based risk identification and use of internal and external data to measure the risk; information collection; and taking appropriate measures to minimize risk. In addition, future risks can be predicted, and necessary actions and business decisions can be taken by analyzing historical risk patterns. The demand for risk analytics is driven by the Banking, Insurance, and Non-traditional sectors such as Manufacturing and Transportation.
目 录：

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 Risk Analysis Flow Chart

06.3 Risk Analytics Process Flow

06.4 Market Size and Forecast

06.5 Five Forces Analysis

07. Global Risk Analytics Market Segmentation

Based on End-users

08. Geographical Segmentation

08.1 Global Risk Analytics Market Segmentation by

Geography 2014-2019

09. Key Leading Countries

09.1 US

09.2 UK

09.3 Japan

10. Buying Criteria

11. Market Growth Drivers

12. Drivers and their Impact

13. Market Challenges

14. Impact of Drivers and Challenges

15. Market Trends

16. Trends and their Impact

17. Vendor Landscape

17.1 Competitive Scenario

17.2 Major Vendors

17.3 Other Prominent Vendors

18. Key Vendor Analysis

18.1 IBM

18.1.1 Key Facts

18.1.2 Business Description

18.1.3 Business Segmentation

18.1.4 Revenue Segmentation by Business Segment

18.1.5 Revenue Segmentation by Business Operation

18.1.6 Revenue Comparison of Business Segments 2012 and 2013

18.1.7 Revenue Segmentation by Geography

18.1.8 Business Strategy

18.1.9 Key Developments

18.1.10 SWOT Analysis

18.2 Oracle

18.2.1 Key Facts

18.2.2 Business Overview

18.2.3 Business Segmentation by Revenue 2013

18.2.4 Business Segmentation by Revenue 2012 and 2013

18.2.5 Geographical Segmentation by Revenue 2013

18.2.6 Business Strategy

18.2.7 Recent Developments

18.2.8 SWOT Analysis

18.3 SAP

18.3.1 Key Facts

18.3.2 Business Overview

18.3.3 Business Segmentation

18.3.4 Business Segmentation by Revenue 2013

18.3.5 Business Segmentation by Revenue 2012 and 2013

18.3.6 Geographical Segmentation by Revenue 2013

18.3.7 Business Strategy

18.3.8 Key Developments

18.3.9 SWOT Analysis

18.4 SAS Institute

18.4.1 Key Facts

18.4.2 Business Overview

18.4.3 Revenue Segmentation by Industry 2012

18.4.4 Geographical Segmentation by Revenue 2012

18.4.5 Business Strategy

18.4.6 Recent Developments

18.4.7 SWOT Analysis

19. Other Reports in this Series