Welcome!

News Feed Item

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

NEW YORK, Jan. 6, 2014 /PRNewswire/ -- Reportlinker.com announces that a new market research report is available in its catalogue:

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

http://www.reportlinker.com/p01937235/Big-Data-in-Financial-Services-Industry-Market-Trends-Challenges-and-Prospects-2013---2018.html#utm_source=prnewswire&utm_medium=pr&utm_campaign=Financial_Services

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.

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.

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
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
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
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
CONCLUSIONS 93

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
http://www.reportlinker.com/p01937235/Big-Data-in-Financial-Services-Industry-Market-Trends-Challenges-and-Prospects-2013---2018.html#utm_source=prnewswire&utm_medium=pr&utm_campaign=Financial_Services

__________________________
Contact Clare: [email protected]
US: (339)-368-6001
Intl: +1 339-368-6001

SOURCE Reportlinker

More Stories By PR Newswire

Copyright © 2007 PR Newswire. All rights reserved. Republication or redistribution of PRNewswire content is expressly prohibited without the prior written consent of PRNewswire. PRNewswire shall not be liable for any errors or delays in the content, or for any actions taken in reliance thereon.

Latest Stories
Interested in leveling up on your Cloud Foundry skills? Join IBM for Cloud Foundry Days on June 7 at Cloud Expo New York at the Javits Center in New York City. Cloud Foundry Days is a free half day educational conference and networking event. Come find out why Cloud Foundry is the industry's fastest-growing and most adopted cloud application platform.
In order to meet the rapidly changing demands of today’s customers, companies are continually forced to redefine their business strategies in order to meet these needs, stay relevant and continue to see profitable growth. IoT deployment and development is integral in this transformation, and today businesses are increasingly seeing the value of investing their resources into IoT deployments. These technologies are able increase ROI through projects such as connecting supply chains or enabling sm...
SYS-CON Events announced today that Outscale, a global pure play Infrastructure as a Service provider and strategic partner of Dassault Systèmes, will exhibit at SYS-CON's 20th International Cloud Expo®, which will take place on June 6-8, 2017, at the Javits Center in New York City, NY. Founded in 2010, Outscale simplifies infrastructure complexities and boosts the business agility of its customers. Outscale delivers a secure, reliable and industrial strength solution for its customers, which in...
Most DevOps journeys involve several phases of maturity. Research shows that the inflection point where organizations begin to see maximum value is when they implement tight integration deploying their code to their infrastructure. Success at this level is the last barrier to at-will deployment. Storage, for instance, is more capable than where we read and write data. In his session at @DevOpsSummit at 20th Cloud Expo, Josh Atwell, a Developer Advocate for NetApp, will discuss the role and value...
SYS-CON Events announced today that Cloud Academy will exhibit at SYS-CON's 20th International Cloud Expo®, which will take place on June 6-8, 2017, at the Javits Center in New York City, NY. Cloud Academy is the industry’s most innovative, vendor-neutral cloud technology training platform. Cloud Academy provides continuous learning solutions for individuals and enterprise teams for Amazon Web Services, Microsoft Azure, Google Cloud Platform, and the most popular cloud computing technologies. Ge...
When NSA's digital armory was leaked, it was only a matter of time before the code was morphed into a ransom seeking worm. This talk, designed for C-level attendees, demonstrates a Live Hack of a virtual environment to show the ease in which any average user can leverage these tools and infiltrate their network environment. This session will include an overview of the Shadbrokers NSA leak situation.
As cloud adoption continues to transform business, today's global enterprises are challenged with managing a growing amount of information living outside of the data center. The rapid adoption of IoT and increasingly mobile workforce are exacerbating the problem. Ensuring secure data sharing and efficient backup poses capacity and bandwidth considerations as well as policy and regulatory compliance issues.
SYS-CON Events announced today that delaPlex will exhibit at SYS-CON's @ThingsExpo, which will take place on June 6-8, 2017, at the Javits Center in New York City, NY. delaPlex pioneered Software Development as a Service (SDaaS), which provides scalable resources to build, test, and deploy software. It’s a fast and more reliable way to develop a new product or expand your in-house team.
In his opening keynote at 20th Cloud Expo, Michael Maximilien, Research Scientist, Architect, and Engineer at IBM, will motivate why realizing the full potential of the cloud and social data requires artificial intelligence. By mixing Cloud Foundry and the rich set of Watson services, IBM's Bluemix is the best cloud operating system for enterprises today, providing rapid development and deployment of applications that can take advantage of the rich catalog of Watson services to help drive insigh...
SYS-CON Events announced today that Interoute has been named “Bronze Sponsor” of SYS-CON's 20th International Cloud Expo®, which will take place on June 6-8, 2017, at the Javits Center in New York City, NY. Interoute is the owner operator of Europe's largest network and a global cloud services platform, which encompasses over 70,000 km of lit fiber, 15 data centers, 17 virtual data centers and 33 colocation centers, with connections to 195 additional partner data centers. Our full-service Unifie...
The 21st International Cloud Expo has announced that its Call for Papers is open. Cloud Expo, to be held October 31 - November 2, 2017, at the Santa Clara Convention Center in Santa Clara, CA, brings together Cloud Computing, Big Data, Internet of Things, DevOps, Digital Transformation, Machine Learning and WebRTC to one location. With cloud computing driving a higher percentage of enterprise IT budgets every year, it becomes increasingly important to plant your flag in this fast-expanding busin...
Internet of @ThingsExpo, taking place October 31 - November 2, 2017, at the Santa Clara Convention Center in Santa Clara, CA, is co-located with the 21st International Cloud Expo and will feature technical sessions from a rock star conference faculty and the leading industry players in the world. @ThingsExpo Silicon Valley Call for Papers is now open.
Amazon started as an online bookseller 20 years ago. Since then, it has evolved into a technology juggernaut that has disrupted multiple markets and industries and touches many aspects of our lives. It is a relentless technology and business model innovator driving disruption throughout numerous ecosystems. Amazon’s AWS revenues alone are approaching $16B a year making it one of the largest IT companies in the world. With dominant offerings in Cloud, IoT, eCommerce, Big Data, AI, Digital Assis...
For financial firms, the cloud is going to increasingly become a crucial part of dealing with customers over the next five years and beyond, particularly with the growing use and acceptance of virtual currencies. There are new data storage paradigms on the horizon that will deliver secure solutions for storing and moving sensitive financial data around the world without touching terrestrial networks. In his session at 20th Cloud Expo, Cliff Beek, President of Cloud Constellation Corporation, w...
DevOps is often described as a combination of technology and culture. Without both, DevOps isn't complete. However, applying the culture to outdated technology is a recipe for disaster; as response times grow and connections between teams are delayed by technology, the culture will die. A Nutanix Enterprise Cloud has many benefits that provide the needed base for a true DevOps paradigm. In his Day 3 Keynote at 20th Cloud Expo, Chris Brown, a Solutions Marketing Manager at Nutanix, will explore t...