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

ResearchMoz include new market research report"Big Data in Financial Services Industry 2013-2018: Industry Size, Shares, Growth, Trends And Forecast " to its huge collection of research reports.

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Albany, NY -- (SBWire) -- 12/30/2013 --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.

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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.

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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?

Browse Other Published Reports by Mind Commerce Publishing - http://www.researchmoz.us/publisher/mind-commerce-publishing-4.html

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

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Big Data vs Small Data Strategies for Next Generation Business

View Full Report - http://www.researchmoz.us/big-data-vs-small-data-strategies-for-next-generation-business-report.html

The data market is booming with an ever increasing valuation. In the virtual data ocean, Big Data and small data are complementary strategies at one level and choices of scale/scope at a different level. While Big Data holds distant promises, leveraging “small data” can provide great benefits to small-to-medium business (SMB) as well as large corporations. Simply stated, the cost-performance barrier leaves many lucrative markets inadequately served by Big Data approaches. Carefully chosen data solutions and models should be more accurate, objective, and ultimately lead to improved ROI especially for more near-term time horizons and/or companies with limitations in scale/scope.

Big Data and Telecom Analytics Market: Business Case, Market Analysis & Forecasts 2014 - 2019

View Full Report - http://www.researchmoz.us/big-data-and-telecom-analytics-market-business-case-market-analysis-and-forecasts-2014-2019-report.html

With access to vast amounts of data sets, telecommunications companies are emerging as major proponents of the Big Data movement. Big Data technologies, and in particular their analytics abilities, offer a multitude of benefits to telecom companies including improved subscriber experience, building and maintaining smarter networks, reducing churn, and generation of new revenue streams.

Mind commerce, thus expects the Big Data driven telecom analytics market to grow at a CAGR of nearly 50% between 2014 and 2019. By the end of 2019, the market will eventually account for $5.4 Billion in annual revenue.

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