|By PR Newswire||
|January 6, 2014 11:17 AM EST||
NEW YORK, Jan. 6, 2014 /PRNewswire/ -- Reportlinker.com announces that a new market research report is available in its catalogue:
Big Data is making a big impact already in certain industries such as the healthcare, industrial, and retail sectors. With the exception of the government sector, no other industry has more to gain from leveraging Big Data than the financial services sector. Big Data technology will help financial institutions maximize the value of data and gain competitive advantage, minimize costs, convert challenges to opportunities, and minimize risk in real-time.
Big Data technologies provide financial services firms with the capability to capture and analyze data, build predictive models, back-test and simulate scenarios. Through iteration, firms will determine the most important variables and also key predictive models.
There is a huge opportunity for financial services firms to apply new data sets and new algorithms to optimize capital allocation, cash management, and currency processing. The financial implications are manifest in improved capital flows and profitability for many firms within the ecosystem.
This report evaluates Big Data prospects and opportunities within the financial services sector and answers the following key questions:
How is Big Data expected to impact the financial services industry?
What are the Big Data players financial management solutions and their impact?
What are the Big Data financial management models and how are they applied?
What are the near-term and long-term benefits to the financial services industry?
What are the specific challenges that the financial services industry faces with Big Data?
The report also analyzes Big Data prospects for financial services within the emerging markets including Brazil, China, and India.
Big Data companies
Telecom service providers
Financial services companies
Data services and analytics companies
Cloud and telecom infrastructure providers
Companies in Report:
BOOZ ALLEN HAMILTON
EXECUTIVE SUMMARY 6
BIG DATA MARKET TRENDS 9
1.1 THE GLOBAL BIG DATA MARKET 9
1.2 THE BIG DATA: AT A GLANCE 10
1.3 THE UNSTRUCTURED DATA MARKET 10
1.4 ADVENT OF 3RD PLATFORM TECHNOLOGY 11
1.5 DIGITIZATION OF FINANCIAL PRODUCTS AND SERVICES 12
1.6 DATA PROCESS MAGNITUDE 13
1.7 TOWARDS THE ZETTABYTES MARKET 13
1.8 DATA ANALYTICS AS THE BATTLEGROUND FOR COMPETITION 14
BIG DATA IN FINANCE: THE CHALLENGES 16
1.9 FINANCIAL BIG DATA MANAGEMENT: REFERENCE DATA 16
1.10 BIG DATA, CHANGING BUSINESS FINANCIAL MODELS 18
1.11 BIG DATA IN FINANCE: ITS FUNCTIONAL LEVELS 20
1.12 TECHNOLOGY ADVANCEMENT VIS-À-VIS EXPANDING CONSUMER EXPECTATION 22
1.13 BEHAVIORAL AND TENDENCY DATA THRU PREDICTIVE ANALYTICS 22
1.14 CUSTOMER FEEDBACK THRU SENTIMENT ANALYSIS 23
1.15 MASS CUSTOMIZATION DATA REMODELING 23
1.16 BIG DATA FOR BIG REVENUE 24
1.17 BIG DATA FOR PREDICTIVE FINANCIAL CRIMES 24
BIG DATA IN FINANCE: AN ANALYSIS 27
1.18 UNDERSTANDING THE RELEVANCE OF BIG DATA IN THE FINANCIAL SERVICE MARKET 27
1.19 DIFFERENTIATING BIG DATA ANALYTICS FROM FINANCIAL ECONOMETRICS 28
1.20 COULD FINANCIAL BIG DATA ANALYTICS PREVENT ECONOMIC RECESSION? 29
1.21 TRANSFORMING BIG DATA ANALYTICS FOR FINANCIAL GAINS 30
1.22 CUSTOMER-FOCUSED BIG DATA FINANCIAL INITIATIVES: BANKING SECTOR EXPERIENCE 31
1.23 BIG DATA FOR EFFECTIVE FINANCIAL CONSOLIDATION: THE JABIL SUCCESS STORY 31
1.24 BUSINESS INTELLIGENCE AVERTING FINANCIAL SERVICE PROBLEM: THE KLOUT'S EXPERIENCE 32
1.25 BIG DATA AND ANALYTICS IN FINANCIAL SERVICES: THE CASE OF BECKER UNDERWOOD 33
1.26 BIG DATA SECURITY/PRIVACY ISSUES IN FINANCIAL SERVICES: THE GOOGLE LAWSUIT 33
BIG DATA IN FINANCE: THE COMPETITIVE MARKET LANDSCAPES 36
4.1 BIG DATA FINANCIAL MANAGEMENT SOLUTIONS 40
4.1.1 IBM 40
4.1.2 HP 41
4.1.3 TERADATA 42
4.1.4 DELL 45
4.1.5 ORACLE 47
4.1.6 SAP 48
4.1.7 EMC 49
4.1.8 CISCO SYSTEMS 50
4.1.9 MICROSOFT 52
4.1.10 FUSION-IO 53
4.1.11 SPLUNK 54
4.1.12 NETAPP 56
4.1.13 HITACHI 57
4.1.14 OPERA SOLUTIONS 58
4.1.15 CSC 59
4.1.16 MU SIGMA 60
4.1.17 BOOZ ALLEN HAMILTON 62
4.1.18 AMAZON 63
4.1.19 INTEL 64
4.1.20 CAPGEMINI 65
4.1.21 MARKLOGIC 66
4.1.22 CLOUDERA 67
4.1.23 ACTIAN 69
4.1.24 SGI 70
4.1.25 GOODDATA 71
4.1.26 1010DATA 72
4.1.27 10GEN 73
4.1.28 GOOGLE 74
4.1.29 ALTERYX 75
4.1.30 GUAVUS 76
4.1.31 VMWARE 77
4.1.32 PARACCEL 78
4.1.33 TIBCO SOFTWARE 79
4.1.34 INFORMATICA 80
4.1.35 ATTIVIO 81
4.1.36 QLIKTECH 82
BIG DATA IN FINANCE: PROSPECTS AND OPPORTUNITIES 84
4.2 THE FUTURE OF BIG DATA IN FINANCIAL SERVICES 84
4.3 MULTICHANNEL MARKETING IN BIG DATA 85
4.4 EMERGING MARKETS IN BIG DATA IN FINANCE 86
4.4.1 BRAZIL 86
4.4.2 CHINA 87
4.4.3 INDIA 88
4.4.4 EUROPE 90
4.4.5 NORTH AMERICA 91
List of Figures
Figure 1 Big Data Market Forecast 2013-2018 9
Figure 2 Big Data Paradigm 10
Figure 3 Migration Process of Platform Technology 11
Figure 4 Data Universe Zettabytes Generation 2013-2020 14
Figure 5 Financial Big Data Management Paradigm 17
Figure 6 Big Data Approaches for Financial Services 20
Figure 7 Big Data Functional Levels 21
Figure 8 Big Data for Predictive Financial Crimes 26
Figure 9 Big Data in Finance Market 2013-2018 28
Figure 10 Big Data as Competitive Differentiator for Financial Services 37
Figure 11 Big Data Revenue Share by Vendor Solutions 2013 38
Figure 12 Hadoop and NoSQL Vendor Revenue Share 2011-2013 39
Figure 13 Big Data in Finance Market 2014-2020 85
Figure 14 Big Data Market in Brazil 2013-2018 87
Figure 15 Market for Big Data in China 2013-2018 88
Figure 16 Big Data Market in India 2013-2018 89
Figure 17 Big Data Market in Europe 2013-2018 91
Figure 18 Big Data Market in North American 2013-2018 92
List of Tables
Table 1 IBM Big Data Financial Management Solutions 41
Table 2 HP Big Data Financial Management Solutions 42
Table 3 Teradata Big Data Financial Management Solutions 45
Table 4 Dell Big Data Financial Management Solutions 46
Table 5 Oracle Big Data Financial Management Solutions 48
Table 6 SAP Big Data Financial Management Solutions 49
Table 7 EMC Big Data Financial Management Solutions 50
Table 8 Cisco Big Data Financial Management Solutions 51
Table 9 Microsoft Big Data Financial Management Solutions 53
Table 10 Fusion-IO Big Data Financial Management Solutions 54
Table 11 Splunk Big Data Financial Management Solutions 55
Table 12 NetApp Big Data Financial Management Solutions 56
Table 13 Hitachi Big Data Financial Management Solutions 58
Table 14 Opera Solutions Big Data Financial Management Solutions 59
Table 15 CSC Big Data Financial Management Solutions 59
Table 16 Mu Sigma Big Data Platforms 60
Table 17 MuSigma Big Data Financial Management Solutions 62
Table 18 Booz Allen Hamilton Big Data Financial Management Solutions 62
Table 19 Amazon Big Data Financial Management Solutions 64
Table 20 Intel Big Data Financial Management Solutions 65
Table 21 Capgemini Big Data Financial Management Solutions 66
Table 22 MarkLogic Big Data Financial Management Solutions 67
Table 23 Cloudera Big Data Financial Management Solutions 68
Table 24 Actian Big Data Financial Management Solutions 70
Table 25 SGI Big Data Financial Management Solutions 71
Table 26 GoodData Big Data Financial Management Solutions 72
Table 27 1010data Big Data Financial Management Solutions 73
Table 28 10gen Big Data Financial Management Solutions 74
Table 29 Google Big Data Financial Management Solutions 74
Table 30 Alteryx Big Data Financial Management Solutions 75
Table 31 Guavus Big Data Financial Management Solutions 77
Table 32 VMware Big Data Financial Management Solutions 78
Table 33 ParAccel Data Financial Management Solutions 78
Table 34 Tibco Software Big Data Financial Management Solutions 79
Table 35 Informatica Big Data Financial Management Solutions 81
Table 36 Attiivio Big Data Financial Management Solutions 82
Table 37 Qlick Tech Big Data Financial Management Solutions 83
To order this report: Big Data in Financial Services Industry: Market Trends, Challenges, and Prospects 2013 - 2018
Contact Clare: [email protected]
Intl: +1 339-368-6001
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