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Reports Corner

Big Data in Financial Services Industry: Market Trends,
Challenges, and Prospects 2013 - 2018

RC
Description
Description
Overview:
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

www.reportscorner.com

Reports Corner
Brief Summary
Brief Summary
Overview:
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.
www.reportscorner.com

Reports Corner
Brief Summary
Brief Summary
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?
Reports Corner
www.reportscorner.com
Brief Summary
Brief Summary
• 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.
Target Audience:
• Big Data companies
• Telecom service providers
• Financial services companies
• Data services and analytics companies
• Cloud and telecom infrastructure providers
Companies in Report:
• 1010DATA
• 10GEN 65
• ACTIAN
• ALTERYX
• AMAZON
www.reportscorner.com

Reports Corner
Brief Summary
Brief Summary
• ATTIVIO
• BMC
• BOOZ ALLEN HAMILTON
• CAPGEMINI
• CISCO SYSTEMS
• CLOUDERA
• CSC
• DELL
• EMC
• FUSION-IO
• GOODDATA
• GOOGLE
• GUAVUS
• HITACHI
• HP
• IBM
• INFORMATICA
www.reportscorner.com

Reports Corner
Brief Summary
Brief Summary
• INTEL
• MARKLOGIC
• MICROSOFT
• MU SIGMA
• NETAPP
• OPERA SOLUTIONS
• ORACLE
• PARACCEL
• QLIKTECH
• SAP
• SGI
• SPLUNK
• TERADATA
• TIBCO SOFTWARE
• VMWARE
www.reportscorner.com

Reports Corner
Table of Contents
Table of Contents
EXECUTIVE SUMMARY 6
INTRODUCTION 7
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
www.reportscorner.com

Reports Corner
Table of Contents
Table of Contents
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
www.reportscorner.com

Reports Corner
Table of Contents
Table of Contents
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
www.reportscorner.com

Reports Corner
Table of Contents
Table of Contents
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
www.reportscorner.com

Reports Corner
Table of Contents
Table of Contents
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
www.reportscorner.com

Reports Corner
Table of Contents
Table of Contents
4.4.2 CHINA 87
4.4.3 INDIA 88
4.4.4 EUROPE 90
4.4.5 NORTH AMERICA 91
CONCLUSIONS 93

www.reportscorner.com

Reports Corner
For more information
For more information
For more information please visit our website
https://www.reportscorner.com/reports/37819/Big-Data-in-Financial-ServicesIndustry:-Market-Trends,-Challenges,-and-Prospects-2013---2018/

www.reportscorner.com

Reports Corner
RC

Thank You
Thank You

Contact us: contact@reportscorner.com
www.reportscorner.com

Reports Corner

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Big data in financial services industry market trends, challenges, and prospects 2013 2018 - ReportsCorner

  • 1. Reports Corner Big Data in Financial Services Industry: Market Trends, Challenges, and Prospects 2013 - 2018 RC
  • 2. Description Description Overview: 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 www.reportscorner.com Reports Corner
  • 3. Brief Summary Brief Summary Overview: 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. www.reportscorner.com Reports Corner
  • 4. Brief Summary Brief Summary 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? Reports Corner www.reportscorner.com
  • 5. Brief Summary Brief Summary • 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. Target Audience: • Big Data companies • Telecom service providers • Financial services companies • Data services and analytics companies • Cloud and telecom infrastructure providers Companies in Report: • 1010DATA • 10GEN 65 • ACTIAN • ALTERYX • AMAZON www.reportscorner.com Reports Corner
  • 6. Brief Summary Brief Summary • ATTIVIO • BMC • BOOZ ALLEN HAMILTON • CAPGEMINI • CISCO SYSTEMS • CLOUDERA • CSC • DELL • EMC • FUSION-IO • GOODDATA • GOOGLE • GUAVUS • HITACHI • HP • IBM • INFORMATICA www.reportscorner.com Reports Corner
  • 7. Brief Summary Brief Summary • INTEL • MARKLOGIC • MICROSOFT • MU SIGMA • NETAPP • OPERA SOLUTIONS • ORACLE • PARACCEL • QLIKTECH • SAP • SGI • SPLUNK • TERADATA • TIBCO SOFTWARE • VMWARE www.reportscorner.com Reports Corner
  • 8. Table of Contents Table of Contents EXECUTIVE SUMMARY 6 INTRODUCTION 7 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 www.reportscorner.com Reports Corner
  • 9. Table of Contents Table of Contents 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 www.reportscorner.com Reports Corner
  • 10. Table of Contents Table of Contents 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 www.reportscorner.com Reports Corner
  • 11. Table of Contents Table of Contents 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 www.reportscorner.com Reports Corner
  • 12. Table of Contents Table of Contents 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 www.reportscorner.com Reports Corner
  • 13. Table of Contents Table of Contents 4.4.2 CHINA 87 4.4.3 INDIA 88 4.4.4 EUROPE 90 4.4.5 NORTH AMERICA 91 CONCLUSIONS 93 www.reportscorner.com Reports Corner
  • 14. For more information For more information For more information please visit our website https://www.reportscorner.com/reports/37819/Big-Data-in-Financial-ServicesIndustry:-Market-Trends,-Challenges,-and-Prospects-2013---2018/ www.reportscorner.com Reports Corner
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