关键词：BI解决方案；提高；业务效率；社交媒体；社交CRM；组织数据；编译；解释；数据
摘 要：In organizations, BI solutions can analyze data from various channels or business activities and use them to improve business efficiency. Social media and social CRM generate an immense volume of data for organizations, and BI helps to compile and interpret this data to produce insights that can be used by the company’s marketing professionals and strategists. BI solutions, when integrated with analytics, are capable of handling a large amount of unstructured data to help identify and analyze business patterns. In most cases, BI collects data from data warehouses and uses technology, processes, and applications to analyze those data to help in decision support systems. Recent years have seen the evolution of self-service BI, which acts as a comprehensive and enterprise-wide platform for organizations. Self-service BI can be accessed by any user, not just IT professionals, and has a user-friendly interface that allows anyone to look up information and create reports.
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 Segmentation by Features

06.3 Market size and Forecast

06.4 Five forces analysis

07. Market Segmentation by Deployment Model

07.1.1 Global Cloud BI Market

07.1.2 Global On-premise BI Market

08. Market Segmentation by End-Users

08.1.1 Other Notable End-Users

09. Market Segmentation by Geography

09.1 Global BI Market by Geography 2014

09.2 Global BI Market by Geography 2014-2019

10. Leading Countries

10.1 US

10.2 UK

10.3 Japan

11. Buying Criteria

12. Market Growth Drivers

13. Drivers and their Impact

14. Market Challenges

15. Impact of Drivers and Challenges

16. Market Trends

17. Trends and their Impact

18. Vendor Landscape

18.1 Competitive Scenario

18.2 Leading Vendor Analysis 2014

18.3 Other Leading, Core, and Prominent Vendors

19. Key Vendor Analysis

19.1 IBM

19.1.1 Key Facts

19.1.2 Business Overview

19.1.3 Business Segmentation

19.1.4 Business Segmentation by Revenue

19.1.5 Business Segmentation by Revenue 2013

19.1.6 Business Segmentation by Revenue 2012 and 2013

19.1.7 Geographical Segmentation by Revenue

19.1.8 Business Strategy

19.1.9 Key Developments

19.1.10 SWOT analysis

19.2 Microsoft

19.2.1 Key Facts

19.2.2 Business Overview

19.2.3 Business Segmentation by Revenue 2013

19.2.4 Business Segmentation by Revenue 2012 and 2013

19.2.5 Geographical Segmentation by Revenue 2013

19.2.6 Business Strategy

19.2.7 Recent Developments

19.2.8 SWOT Analysis

19.3 Oracle

19.3.1 Key Facts

19.3.2 Business Overview

19.3.3 Business Segmentation by Revenue 2014

19.3.4 Business Segmentation by Revenue 2013 and 2014

19.3.5 Geographical Segmentation by Revenue 2014

19.3.6 Business Strategy

19.3.7 Recent Developments

19.3.8 SWOT Analysis

19.4 SAP

19.4.1 Key Facts

19.4.2 Business Overview

19.4.3 Business Segmentation

19.4.4 Business Segmentation by Revenue 2013

19.4.5 Business Segmentation by Revenue 2012 and 2013

19.4.6 Geographical Segmentation by Revenue 2013

19.4.7 Business Strategy

19.4.8 Key Developments

19.4.9 SWOT Analysis

19.5 SAS Institute

19.5.1 Key Facts

19.5.2 Business Overview

19.5.3 Revenue Segmentation by Industry 2012

19.5.4 Geographical Segmentation by Revenue 2012

19.5.5 Business Strategy

19.5.6 Recent Developments

19.5.7 SWOT Analysis

20. Other Reports in this Series