Big Data in Financial Services Industry: Market Analysis and Forecasts

Transcription

1 Brochure More information from Big Data in Financial Services Industry: Market Analysis and Forecasts Description: Financial Services (credit unions, banks, credit-card companies, insurance companies, accountancy companies, consumer-finance companies, stock brokerages, investment funds) is one of the key areas for Big Data as there is great benefits for the entire ecosystem. Big Data and various analytics solutions provide many benefits to financial services organizations including: Optimizing Pricing, Risk Management, Credit Worthiness, Investment Advice, Personalized Offerings, Better Operational Efficiency, Fraud Detection and Security, Improved Call Center Operations, Better Customer Insight and Service, Governance and Regulatory Compliance. 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. Financial 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. This research evaluates the market for Big Data in the financial services sector, analyzes key players, identifies challenges and opportunities, and provides forecasting for 2015 to Target Audience: - Big Data companies - Telecom service providers - Regulatory and policy makers - Data services and analytics companies - Cloud and telecom infrastructure providers - Financial services companies and personnel -- Hedge Funds -- Private Equity -- Asset Managers -- Financial Analysts -- Investor Relations -- Portfolio Managers -- Investment Bankers Report Benefits: - Big Data in financial services forecasting through Identify leading companies and solutions for financial sector - Identify the Top Reasons why financial institutions need Big Data - Understand the government needs for Big Data in 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 Contents: 1.0 Executive Summary 2.0 Big Data In Financial Services 2.1 Financial Services Industry 2.2 Financial Services Transforms With Big Data 2.3 Macro Drivers For Big Data In Financial Service Cashless Society Big Data In Trading And Investing Compliance And Behavior Learning The Government And Big Data In Financial Services 2.4 Role Of Big Data In Financial Services

2 2.5 Big Data To Become Essential Component For Financial Service Sector 2.6 A Three-Way Big Data Approach Towards Financial Services Information Based Sorting Information Based Brokering Information Based Delivery 2.7 Steps For Big Data Functioning In Financial Services Data Acquisition, Collection, And Detection Data Management And Integration Data Analysis 2.8 Big Data As Competitive Differentiator For Financial Services 2.9 Financial Big Data Management: Reference Data 2.10 Future Of Big Data In Financial Sector 3.0 Big Data Initiatives Of Financial Services Providers 3.1 Current Stage Of The Big Data Implementation In Financial Services Financial Service Provider Big Data Initiatives 3.2 Top Big Data Initiatives In Financial Services Sector Provide Real-Time Response To Consumer Queries Assess Customer Behavioral And Tendency Data Using Predictive Analytics Measure Customer Sentiments And Take Appropriate Action Mass Customization Data Remodeling Big Data For Big Revenue Big Data For Predicting Fraud And Other Financial Crimes 4.0 Big Data In Financial Services: Global Market The Global Big Data Market The Unstructured Data Market The Third Platform Perspective Data Process Magnitude Towards The Zettabytes Market Global Markets For Big Data Data Analytics Is The Battleground For Competition 4.2 Learning From Big Data In Financial Services Sector 4.3 Global Market For Big Data In Financial Sector Focus Areas For Financial Services Sector Investment Companies And Solutions 6.1 Big Data Financial Management Solutions 6.2 Companies And Solutions Data Gen Actian Alteryx Amazon Attivio Booz Allen Hamilton Capgemini Cisco Systems Cloudera Csc Dell Emc Fusion-Io Gooddata Google Guavus Hp Hitachi Ibm Informatica Intel Marklogic Microsoft Mu Sigma Netapp Opera Solutions

3 Oracle Paraccel Qliktech Sap Sgi Splunk Teradata Tibco Software Vmware 7.0 Conclusions And Recommendations Figures Figure 1: Big Data Approaches for Financial Services Figure 2: Big Data Functional Levels Figure 3: Big Data as Competitive Differentiator for Financial Services Figure 4: Financial Big Data Management Paradigm Figure 5: Big Data for Predicting Financial Crimes Figure 6: Big Data Paradigm Figure 7: Migration Process of Platform Technology Figure 8: Data Universe Zettabytes Generation Figure 9: Global Big Data Market Forecast Figure 10: Global BD Market by H/W, S/W, and Services Figure 11: Big Data in Financial Services by Components Figure 12: Big Data Revenue Share by Vendor Solutions Figure 13: Hadoop and NoSQL Vendor Revenue Share Tables Table 1: Global Big Data Market Table 2: Global Big Data Markets by H/W, S/W, and Services Table 3: Global Markets for Big Data in Financial Sector Table 4: 1010data Big Data Financial Management Solutions Table 5: 10gen Big Data Financial Management Solutions Table 6: Actian Big Data Financial Management Solutions Table 7: Alteryx Big Data Financial Management Solutions Table 8: Amazon Big Data Financial Management Solutions Table 9: Attiivio Big Data Financial Management Solutions Table: 10 Booz Allen Hamilton Big Data Financial Management Solutions Table 11: Capgemini Big Data Financial Management Solutions Table 12: Cisco Big Data Financial Management Solutions Table 13: Cloudera Big Data Financial Management Solutions Table 14: CSC Big Data Financial Management Solutions Table 15: Dell Big Data Financial Management Solutions Table 16: EMC Big Data Financial Management Solutions Table 17: Fusion-IO Big Data Financial Management Solutions Table 18: GoodData Big Data Financial Management Solutions Table 19: Google Big Data Financial Management Solutions Table 20: Guavus Big Data Financial Management Solutions Table 21: HP Big Data Financial Management Solutions Table 22: Hitachi Big Data Financial Management Solutions Table 23: IBM Big Data Financial Management Solutions Table 24: Informatica Big Data Financial Management Solutions Table 25: Intel Big Data Financial Management Solutions Table 26: MarkLogic Big Data Financial Management Solutions Table 27: Microsoft Big Data Financial Management Solutions Table 28: Mu Sigma Big Data Platforms Table 29: MuSigma Big Data Financial Management Solutions Table 30: NetApp Big Data Financial Management Solutions Table 31: Opera Solutions Big Data Financial Management Solutions Table 32: Oracle Big Data Financial Management Solutions Table 33: ParAccel Big Data Financial Management Solutions Table 34: Qlick Tech Big Data Financial Management Solutions

4 Table 35: SAP Big Data Financial Management Solutions Table 36: SGI Big Data Financial Management Solutions Table 37: Splunk Big Data Financial Management Solutions Table 38: Teradata Big Data Financial Management Solutions Table 39: Tibco Software Big Data Financial Management Solutions Table 40: VMware Big Data Financial Management Solutions Ordering: Order Online - Order by Fax - using the form below Order by Post - print the order form below and send to Research and Markets, Guinness Centre, Taylors Lane, Dublin 8, Ireland.

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