Overview:

Big Data and predictive analytics solutions are poised to optimize the value of data within the financial services sector. Banks, investment firms, insurance companies and other service providers are learning to leverage the value of data and gain competitive advantage, minimize costs, convert challenges to opportunities, and minimize risk in real-time.

Big Data technologies and related business intelligence solutions 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.

Big Data in Financial Services Industry: Market Trends, Challenges, and Prospects 2014 - 2019 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?
All purchases of Mind Commerce reports includes time with an expert analyst who will help you link key findings in the report to the business issues you're addressing. This needs to be used within three months of purchasing the report.

Target Audience:

Big Data companies
Telecom service providers
Financial services companies
Regulatory and policy makers
Data services and analytics companies
Cloud and telecom infrastructure providers

Report Benefits:

Big Data in financial services forecasting through 2019
Identify leading companies and solutions for financial sector
Understand the role and importance of Big Data in financial services
Recognize the future prospects for Big Data in financial services industry
Identify initial and ongoing implementation areas for Big Data and analytics

Companies in Report:

1010DATA
10GEN
ACTIAN
ALTERYX
AMAZON
ATTIVIO
BMC
BOOZ ALLEN HAMILTON
CAPGEMINI
CISCO SYSTEMS
CLOUDERA
CSC
DELL
EMC
FUSION-IO
GOODDATA
GOOGLE
GUAVUS
HITACHI
HP
IBM
INFORMATICA
INTEL
MARKLOGIC
MICROSOFT
MU SIGMA
NETAPP
OPERA SOLUTIONS
ORACLE
PARACCEL
QLIKTECH
SAP
SGI
SPLUNK
TERADATA
TIBCO SOFTWARE
VMWARE

Table Of Contents

1.0 EXECUTIVE SUMMARY 9
2.0 BIG DATA IN FINANCIAL SERVICES 12
2.1 FINANCIAL SERVICES INDUSTRY 12
2.2 FINANCIAL SERVICES: AN INDUSTRY IN TRANSFORMATION 12
2.3 ROLE OF BIG DATA IN FINANCIAL SERVICES 13
2.4 BIG DATA TO BECOME ESSENTIAL COMPONENT FOR FINANCIAL SERVICE SECTOR 14
2.5 A THREE-WAY BIG DATA APPROACH TOWARDS FINANCIAL SERVICES 15
2.5.1 INFORMATION BASED SORTING 16
2.5.2 INFORMATION BASED BROKERING 16
2.5.3 INFORMATION BASED DELIVERY 16
2.6 STEPS FOR BIG DATA FUNCTIONING IN FINANCIAL SERVICES 17
2.6.1 DATA ACQUISITION, COLLECTION AND DETECTION 18
2.6.2 DATA MANAGEMENT AND INTEGRATION 18
2.6.3 DATA ANALYSIS 19
2.7 BIG DATA AS COMPETITIVE DIFFERENTIATOR FOR FINANCIAL SERVICES 19
2.8 FINANCIAL BIG DATA MANAGEMENT: REFERENCE DATA 21
2.9 FUTURE OF BIG DATA IN FINANCIAL SECTOR 23
3.0 BIG DATA INITIATIVES OF FINANCIAL SERVICES PROVIDERS 24
3.1 CURRENT STAGE OF THE BIG DATA IMPLEMENTATION IN FINANCIAL SERVICES 24
3.1.1 FINANCIAL SERVICE PROVIDER BIG DATA INITIATIVES 24
3.2 TOP BIG DATA INITIATIVES IN FINANCIAL SERVICES SECTOR 25
3.2.1 PROVIDE REAL-TIME RESPONSE TO CONSUMER QUERIES 25
3.2.2 ASSESS CUSTOMER BEHAVIORAL AND TENDENCY DATA USING PREDICTIVE ANALYTICS 26
3.2.3 MEASURE CUSTOMER SENTIMENTS AND TAKE APPROPRIATE ACTION 27
3.2.4 MASS CUSTOMIZATION DATA REMODELING 27
3.2.5 BIG DATA FOR BIG REVENUE 28
3.2.6 BIG DATA FOR PREDICTING FRAUD AND OTHER FINANCIAL CRIMES 28
4.0 BIG DATA IN FINANCIAL SERVICES: GLOBAL MARKETS 2014 - 2019 31
4.1 THE GLOBAL BIG DATA MARKET 31
4.1.1 THE UNSTRUCTURED DATA MARKET 32
4.1.2 THE THIRD PLATFORM PERSPECTIVE 33
4.1.3 DATA PROCESS MAGNITUDE 34
4.1.4 TOWARDS THE ZETTABYTES MARKET 34
4.1.5 GLOBAL MARKETS FOR BIG DATA 2014 - 2019 35
4.1.6 DATA ANALYTICS IS THE BATTLEGROUND FOR COMPETITION 38
4.2 LEARNING FROM BIG DATA IN FINANCIAL SERVICES SECTOR IN 2013 39
4.3 GLOBAL MARKET FOR BIG DATA IN FINANCIAL SECTOR 2014 - 2019 40
4.4 FOCUS AREAS FOR FINANCIAL SERVICES SECTOR INVESTMENT 2014 - 2019 41
5.0 COMPANIES AND SOLUTIONS 43
6.1 BIG DATA FINANCIAL MANAGEMENT SOLUTIONS 45
6.2 COMPANIES AND SOLUTIONS 45
6.2.1 1010DATA 45
6.2.2 10GEN 46
6.2.3 ACTIAN 48
6.2.4 ALTERYX 49
6.2.5 AMAZON 50
6.2.6 ATTIVIO 52
6.2.7 BOOZ ALLEN HAMILTON 53
6.2.8 CAPGEMINI 54
6.2.9 CISCO SYSTEMS 55
6.2.10 CLOUDERA 56
6.2.11 CSC 58
6.2.12 DELL 59
6.2.13 EMC 61
6.2.14 FUSION-IO 62
6.2.15 GOODDATA 63
6.2.16 GOOGLE 64
6.2.17 GUAVUS 65
6.2.18 HP 66
6.2.19 HITACHI 67
6.2.20 IBM 69
6.2.21 INFORMATICA 70
6.2.22 INTEL 71
6.2.23 MARKLOGIC 73
6.2.24 MICROSOFT 73
6.2.25 MU SIGMA 75
6.2.26 NETAPP 77
6.2.27 OPERA SOLUTIONS 78
6.2.28 ORACLE 79
6.2.29 PARACCEL 80
6.2.30 QLIKTECH 81
6.2.31 SAP 82
6.2.32 SGI 83
6.2.33 SPLUNK 84
6.2.34 TERADATA 86
6.2.35 TIBCO SOFTWARE 89
6.2.36 VMWARE 90
7.0 CONCLUSIONS AND RECOMMENDATIONS 92

Figures

Figure 1: Big Data Approaches for Financial Services 15
Figure 2: Big Data Functional Levels 18
Figure 3: Big Data as Competitive Differentiator for Financial Services 20
Figure 4: Financial Big data Management Paradigm 22
Figure 5: Big Data for Predicting Financial Crimes 29
Figure 6: Big Data Paradigm 32
Figure 7: Migration Process of Platform Technology 33
Figure 8: Data Universe Zettabytes Generation 2013 - 2020 35
Figure 9: Global Big Data Market Forecast 2014 - 2019 36
Figure 10: Global Big Data Markets by H/W, S/W, and Services 2014 - 2019 38
Figure 11: Big Data in Financial Services by Components 2014 - 2019 42
Figure 12: Big Data Revenue Share by Vendor Solutions 43
Figure 13: Hadoop and NoSQL Vendor Revenue Share 44

Tables

Table 1: Global Big Data Market 2014 - 2019 35
Table 2: Global Big Data Markets by Components 37
Table 3: Global Markets for Big Data in Financial Sector 40
Table 4: 1010data Big Data Financial Management Solutions 46
Table 5: 10gen Big Data Financial Management Solutions 47
Table 6: Actian Big Data Financial Management Solutions 49
Table 7: Alteryx Big Data Financial Management Solutions 50
Table 8: Amazon Big Data Financial Management Solutions 51
Table 9: Attiivio Big Data Financial Management Solutions 52
Table: 10 Booz Allen Hamilton Big Data Financial Management Solutions 54
Table 11: Capgemini Big Data Financial Management Solutions 55
Table 12: Cisco Big Data Financial Management Solutions 56
Table 13: Cloudera Big Data Financial Management Solutions 57
Table 14: CSC Big Data Financial Management Solutions 58
Table 15: Dell Big Data Financial Management Solutions 60
Table 16: EMC Big Data Financial Management Solutions 61
Table 17: Fusion-IO Big Data Financial Management Solutions 63
Table 18: GoodData Big Data Financial Management Solutions 64
Table 19: Google Big Data Financial Management Solutions 65
Table 20: Guavus Big Data Financial Management Solutions 66
Table 21: HP Big Data Financial Management Solutions 67
Table 22: Hitachi Big Data Financial Management Solutions 68
Table 23: IBM Big Data Financial Management Solutions 70
Table 24: Informatica Big Data Financial Management Solutions 71
Table 25: Intel Big Data Financial Management Solutions 72
Table 26: MarkLogic Big Data Financial Management Solutions 73
Table 27: Microsoft Big Data Financial Management Solutions 75
Table 28: Mu Sigma Big Data Platforms 76
Table 29: MuSigma Big Data Financial Management Solutions 77
Table 30: NetApp Big Data Financial Management Solutions 78
Table 31: Opera Solutions Big Data Financial Management Solutions 79
Table 32: Oracle Big Data Financial Management Solutions 80
Table 33: ParAccel Big Data Financial Management Solutions 81
Table 34: Qlick Tech Big Data Financial Management Solutions 82
Table 35: SAP Big Data Financial Management Solutions 83
Table 36: SGI Big Data Financial Management Solutions 84
Table 37: Splunk Big Data Financial Management Solutions 86
Table 38: Teradata Big Data Financial Management Solutions 88
Table 39: Tibco Software Big Data Financial Management Solutions 90
Table 40: Vmware Big Data Financial Management Solutions 91determine 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.

Big Data in Financial Services Industry: Market Trends, Challenges, and Prospects 2014 - 2019 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?
All purchases of Mind Commerce reports includes time with an expert analyst who will help you link key findings in the report to the business issues you're addressing. This needs to be used within three months of purchasing the report.

Target Audience:
Big Data companies
Telecom service providers
Financial services companies
Regulatory and policy makers
Data services and analytics companies
Cloud and telecom infrastructure providers
Report Benefits:
Big Data in financial services forecasting through 2019
Identify leading companies and solutions for financial sector
Understand the role and importance of Big Data in financial services
Recognize the future prospects for Big Data in financial services industry
Identify initial and ongoing implementation areas for Big Data and analytics
Companies in Report:
1010DATA
10GEN
ACTIAN
ALTERYX
AMAZON
ATTIVIO
BMC
BOOZ ALLEN HAMILTON
CAPGEMINI
CISCO SYSTEMS
CLOUDERA
CSC
DELL
EMC
FUSION-IO
GOODDATA
GOOGLE
GUAVUS
HITACHI
HP
IBM
INFORMATICA
INTEL
MARKLOGIC
MICROSOFT
MU SIGMA
NETAPP
OPERA SOLUTIONS
ORACLE
PARACCEL
QLIKTECH
SAP
SGI
SPLUNK
TERADATA
TIBCO SOFTWARE
VMWARE

View This Report »

Find all the market research you need - instantly, in one place.

+1.2 Million Research Documents & Statistics +200,000 Trusted Public Sources 350 Industries With Global Coverage

24/7 Customer Support

Talk to Louis

+1 718 618 4302

Purchase Reports From Reputable Market Research Publishers

World Housing Market

World Housing Market

  • $ 5 800
  • Industry report
  • July 2014
  • by Freedonia

World demand to rise 3.2%annually through 2018 Worldwide construction of new housingunits is projected to reach 62.0 million in2018 on 3.2 percent yearly advances from2013. Although global population growthis ...

Global Retailer Online Payment Acceptance

Global Retailer Online Payment Acceptance

  • $ 6 247
  • Industry report
  • July 2014
  • by Finaccord

Global Retailer Online Payment Acceptance is a report, based on a survey of over 6,000 prominent retail brands in 60 countries, about the online payment types that they accept for purchases made online ...

Global Retailer Payment, Gift and Loyalty Cards

Global Retailer Payment, Gift and Loyalty Cards

  • $ 6 247
  • Industry report
  • July 2014
  • by Finaccord

Global Retailer Payment, Gift and Loyalty Cards is a report, based on a comprehensive investigation covering over 6,000 major retail brands across 60 countries worldwide, about the provision of co-branded ...


ReportLinker is an award-winning market research solution that finds, filters and organizes the latest industry data so you get all the market research you need - quickly, in one place.