|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
19th Cloud Expo, taking place November 1-3, 2016, at the Santa Clara Convention Center in Santa Clara, CA, will feature technical sessions from a rock star conference faculty and the leading industry players in the world. Cloud computing is now being embraced by a majority of enterprises of all sizes. Yesterday's debate about public vs. private has transformed into the reality of hybrid cloud: a recent survey shows that 74% of enterprises have a hybrid cloud strategy. Meanwhile, 94% of enterpri...
Aug. 26, 2016 05:00 AM EDT Reads: 3,007
Kubernetes, Docker and containers are changing the world, and how companies are deploying their software and running their infrastructure. With the shift in how applications are built and deployed, new challenges must be solved. In his session at @DevOpsSummit at19th Cloud Expo, Sebastian Scheele, co-founder of Loodse, will discuss the implications of containerized applications/infrastructures and their impact on the enterprise. In a real world example based on Kubernetes, he will show how to ...
Aug. 26, 2016 03:15 AM EDT Reads: 1,399
Personalization has long been the holy grail of marketing. Simply stated, communicate the most relevant offer to the right person and you will increase sales. To achieve this, you must understand the individual. Consequently, digital marketers developed many ways to gather and leverage customer information to deliver targeted experiences. In his session at @ThingsExpo, Lou Casal, Founder and Principal Consultant at Practicala, discussed how the Internet of Things (IoT) has accelerated our abil...
Aug. 26, 2016 02:15 AM EDT Reads: 1,937
With so much going on in this space you could be forgiven for thinking you were always working with yesterday’s technologies. So much change, so quickly. What do you do if you have to build a solution from the ground up that is expected to live in the field for at least 5-10 years? This is the challenge we faced when we looked to refresh our existing 10-year-old custom hardware stack to measure the fullness of trash cans and compactors.
Aug. 26, 2016 01:30 AM EDT Reads: 1,662
Extreme Computing is the ability to leverage highly performant infrastructure and software to accelerate Big Data, machine learning, HPC, and Enterprise applications. High IOPS Storage, low-latency networks, in-memory databases, GPUs and other parallel accelerators are being used to achieve faster results and help businesses make better decisions. In his session at 18th Cloud Expo, Michael O'Neill, Strategic Business Development at NVIDIA, focused on some of the unique ways extreme computing is...
Aug. 26, 2016 01:15 AM EDT Reads: 2,007
The emerging Internet of Everything creates tremendous new opportunities for customer engagement and business model innovation. However, enterprises must overcome a number of critical challenges to bring these new solutions to market. In his session at @ThingsExpo, Michael Martin, CTO/CIO at nfrastructure, outlined these key challenges and recommended approaches for overcoming them to achieve speed and agility in the design, development and implementation of Internet of Everything solutions wi...
Aug. 26, 2016 01:00 AM EDT Reads: 1,947
DevOps at Cloud Expo, taking place Nov 1-3, 2016, at the Santa Clara Convention Center in Santa Clara, CA, is co-located with 19th Cloud Expo and will feature technical sessions from a rock star conference faculty and the leading industry players in the world. The widespread success of cloud computing is driving the DevOps revolution in enterprise IT. Now as never before, development teams must communicate and collaborate in a dynamic, 24/7/365 environment. There is no time to wait for long dev...
Aug. 26, 2016 12:45 AM EDT Reads: 2,248
Cloud computing is being adopted in one form or another by 94% of enterprises today. Tens of billions of new devices are being connected to The Internet of Things. And Big Data is driving this bus. An exponential increase is expected in the amount of information being processed, managed, analyzed, and acted upon by enterprise IT. This amazing is not part of some distant future - it is happening today. One report shows a 650% increase in enterprise data by 2020. Other estimates are even higher....
Aug. 26, 2016 12:30 AM EDT Reads: 2,897
I wanted to gather all of my Internet of Things (IOT) blogs into a single blog (that I could later use with my University of San Francisco (USF) Big Data “MBA” course). However as I started to pull these blogs together, I realized that my IOT discussion lacked a vision; it lacked an end point towards which an organization could drive their IOT envisioning, proof of value, app dev, data engineering and data science efforts. And I think that the IOT end point is really quite simple…
Aug. 25, 2016 11:45 PM EDT Reads: 2,282
Aspose.Total for .NET is the most complete package of all file format APIs for .NET as offered by Aspose. It empowers developers to create, edit, render, print and convert between a wide range of popular document formats within any .NET, C#, ASP.NET and VB.NET applications. Aspose compiles all .NET APIs on a daily basis to ensure that it contains the most up to date versions of each of Aspose .NET APIs. If a new .NET API or a new version of existing APIs is released during the subscription peri...
Aug. 25, 2016 10:45 PM EDT Reads: 1,868
Today we can collect lots and lots of performance data. We build beautiful dashboards and even have fancy query languages to access and transform the data. Still performance data is a secret language only a couple of people understand. The more business becomes digital the more stakeholders are interested in this data including how it relates to business. Some of these people have never used a monitoring tool before. They have a question on their mind like “How is my application doing” but no id...
Aug. 25, 2016 10:15 PM EDT Reads: 1,714
Identity is in everything and customers are looking to their providers to ensure the security of their identities, transactions and data. With the increased reliance on cloud-based services, service providers must build security and trust into their offerings, adding value to customers and improving the user experience. Making identity, security and privacy easy for customers provides a unique advantage over the competition.
Aug. 25, 2016 09:15 PM EDT Reads: 2,201
Qosmos has announced new milestones in the detection of encrypted traffic and in protocol signature coverage. Qosmos latest software can accurately classify traffic encrypted with SSL/TLS (e.g., Google, Facebook, WhatsApp), P2P traffic (e.g., BitTorrent, MuTorrent, Vuze), and Skype, while preserving the privacy of communication content. These new classification techniques mean that traffic optimization, policy enforcement, and user experience are largely unaffected by encryption. In respect wit...
Aug. 25, 2016 09:00 PM EDT Reads: 1,700
Using new techniques of information modeling, indexing, and processing, new cloud-based systems can support cloud-based workloads previously not possible for high-throughput insurance, banking, and case-based applications. In his session at 18th Cloud Expo, John Newton, CTO, Founder and Chairman of Alfresco, described how to scale cloud-based content management repositories to store, manage, and retrieve billions of documents and related information with fast and linear scalability. He addres...
Aug. 25, 2016 06:30 PM EDT Reads: 1,935
Is the ongoing quest for agility in the data center forcing you to evaluate how to be a part of infrastructure automation efforts? As organizations evolve toward bimodal IT operations, they are embracing new service delivery models and leveraging virtualization to increase infrastructure agility. Therefore, the network must evolve in parallel to become equally agile. Read this essential piece of Gartner research for recommendations on achieving greater agility.
Aug. 25, 2016 05:15 PM EDT Reads: 694