YottaByte Me

Niara Launches from Stealth with Big Data Based Security Intelligence Solution
According to a recent report by the Ponemon Institute, it takes over three months to discover advanced threats for financial services firms, and over six months for retail organizations. These sophisticated attacks remain undetected because existing …
Read more on insideBIGDATA

Big data security: Key to big data readiness and success – Informatica South …
But, as more enterprise data moves into Hadoop for collection, preparation and analysis, concerns around security can arise. Compliance-sensitive industries, such as healthcare or financial services, or any other consumer-driven industry, such as …
Read more on ITWeb

Albany, NY (PRWEB) October 20, 2014

Big Data and predictive analytics solutions are poised to optimize the value of data within the financial services sector. Banks, investment firms, insurance companies and other 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.

View Full Report at http://www.marketresearchreports.biz/analysis/226337

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.

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.

Download Detail Report With Complete TOC at http://www.marketresearchreports.biz/sample/sample/226337

Big Data in Financial Services Industry: Market Trends, Challenges, and Prospects 2014 – 2019 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?

All purchases of Mind Commerce reports includes time with an expert analyst who will help you link key findings in the report to the business issues you’re addressing. This needs to be used within three months of purchasing the report.

Target Audience:

Big Data companies

Telecom service providers

Financial services companies

Regulatory and policy makers

Data services and analytics companies

Cloud and telecom infrastructure providers

Browse All Mind Commerce Publishing Market Research Reports at http://www.marketresearchreports.biz/publisher/4

Report Benefits:

Big Data in financial services forecasting through 2019

Identify leading companies and solutions for 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

Companies in Report:

1010DATA        

10GEN

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

Related Reports

The Big Data Market: Business Case, Market Analysis & Forecasts 2015 – 2020

View Full Report at http://www.marketresearchreports.biz/analysis/224899

Big Data refers to a massive volume of both structured and unstructured data that is so large that it is difficult to process using traditional database and software techniques. While the presence of such datasets is not something new, the past few years have witnessed immense commercial investments in solutions that address the processing and analysis of Big Data. Big Data opens a vast array of applications and opportunities in multiple vertical sectors including, but not limited to, retail and hospitality, media, utilities, financial services, healthcare and pharmaceutical, telecommunications, government, homeland security, and the emerging industrial Internet vertical.

Download Detail Report With Complete TOC at http://www.marketresearchreports.biz/sample/sample/224899

Despite challenges, such as the lack of clear big data strategies, security concerns and the need for workforce re-skilling, the growth potential of Big Data is unprecedented. Mind Commerce estimates that global spending on Big Data will grow at a CAGR of 46% between 2015 and 2020. Big Data revenues will reach almost $ 190 Billion by the end of 2020.

The Big Data Market: 2014 – 2020 – Opportunities, Challenges, Strategies, Industry Verticals And Forecasts

View Full Report at http://www.marketresearchreports.biz/analysis/207041

Big Data originally emerged as a term to describe datasets whose size is beyond the ability of traditional databases to capture, store, manage and analyze. However, the scope of the term has significantly expanded over the years. Big Data not only refers to the data itself but also a set of technologies that capture, store, manage and analyze large and variable collections of data to solve complex problems. Amid the proliferation of real time data from sources such as mobile devices, web, social media, sensors, log files and transactional applications, Big Data has found a host of vertical market applications, ranging from fraud detection to R&D.

Download Detail Report With Complete TOC at http://www.marketresearchreports.biz/sample/sample/207041

Despite challenges relating to privacy concerns and organizational resistance, Big Data investments continue to gain momentum throughout the globe. SNS Research estimates that Big Data investments will account for nearly $ 30 Billion in 2014 alone. These investments are further expected to grow at a CAGR of 17% over the next 6 years.

Big Data And Telecom Analytics Market: Business Case, Market Analysis & Forecasts 2014 – 2019

View Full Report at http://www.marketresearchreports.biz/analysis/174419

Big Data refers to a massive volume of both structured and unstructured data that is so large that it is difficult to process using traditional database and software techniques. While the presence of such datasets is not something new, the past few years have witnessed immense commercial investments in solutions that address the processing and analysis of Big Data. Big Data opens a vast array of applications and opportunities in multiple vertical sectors including, but not limited to, retail and hospitality, media, utilities, financial services, healthcare and pharmaceutical, telecommunications, government, homeland security, and the emerging industrial Internet vertical.

Download Detail Report With Complete TOC at http://www.marketresearchreports.biz/sample/sample/174419

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.

About Us

Marketresearchreports.biz is the most comprehensive collection of market research reports. Marketresearchreports.biz services are especially designed to save time and money of our clients. We are a one stop solution for all your research needs, our main offerings are syndicated research reports, custom research, subscription access and consulting services. We serve all sizes and types of companies spanning across various industries.

Browse Blog at http://businessmonitorinternational.wordpress.com/

(PRWEB) October 22, 2014

Big Data and predictive analytics solutions are expected to optimise the value of data in the financial services sector. Banks, investment entities, insurers and other service providers are learning how to leverage the value of data and achieve a competitive edge, keep costs to a minimum, transform challenges to opportunities, and minimise risks on a real-time basis.

Big Data technologies and associated business intelligence (BI) solutions equip financial services companies with the capability of capturing and analysing data, building predictive models, back-testing and simulating scenarios. By means of iteration, companies will likely determine the most essential variables as well as major predictive models. There is an enormous opportunity for financial service firms to employ novel data sets and new algorithms to optimise cash management, currency processing, and capital allocation. The financial implications make themselves felt in enhanced capital movements and profitability for a slew of firms in the ecosystem.

New research report “Big Data in Financial Services Industry: Market Trends, Challenges, and Prospects 2014 – 2019” elaborated by Mind Commerce Publishing is now available at MarketPublishers.com.

Report Details:

Title: Big Data in Financial Services Industry: Market Trends, Challenges, and Prospects 2014 – 2019

Published: October, 2013

Pages: 93

Price: US$ 1,995.00

http://marketpublishers.com/report/finance_services/big-data-in-financial-services-industry-market-trends-challenges-n-prospects-2013-2018.html

The market research study provides a comprehensive, unbiased assessment of Big Data prospects and opportunities within the financial services universe. It examines Big Data’s anticipated impact on the financial services sector, looks at Big Data companies’ financial management solutions alongside their influence, gives details of the Big Data financial management models as well as their applications, casts light on the benefits to the financial services industry in the short to long run, and also discusses the major challenges which the financial services industry is facing with Big Data.

Companies discussed include: 1010data, Actian, 10gen, Alteryx, Amazon, Attivio, Capgemini,BMC, Booz Allen Hamilton, Cisco Systems, CSC, Dell, Cloudera, EMC, Fusion-io, GoodData, Google, Guavus, Hitachi, HP, IBM, Informatica, Intel, MarkLogic, Microsoft, Mu Sigma, NetApp, Oracle, ParAccel, Opera Solutions, QlikTech, SAP, Splunk, SGI, Teradata, Tibco Software, and Vmware.

Report Benefits:

Detailed forecast figures for Big Data in the financial services sector through to 2019-end.
Essential information on the leading firms and solutions for the financial industry.
Deep analysis of the role and significance of Big Data in the financial services universe.
Insights into the future prospects for Big Data in financial services industry.
Review of the initial and on-going implementation areas for Big Data and analytics.

More new studies by the publisher can be found at Mind Commerce page.

Big Data Financial services eBay auctions you should keep an eye on:

How financial service firms use big data to meet business goals
Once business outcomes have been determined and prioritized, the firm can then decide on the best big data technologies needed to modernize their enterprise infrastructure to better mobilize the data across the business for consumption, enabling it to …
Read more on Network World

Microsoft's Revolution Analytics Deal Is Finalized
"The free Revolution R Open project will continue to enhance open source R. We'll continue to advance the big data and enterprise integration capabilities of Revolution R Enterprise." As a subsidiary of Microsoft, Revolution Analytics will also …
Read more on InformationWeek

Some recent Big Data Financial services auctions on eBay:

6 Tech Trends Shaping Financial Services
Big Data, biometrics and mobile payments are among trends impacting the financial services industry in 2015. Financial institutions will count on technology more than ever in 2015 to handle the increasing complexities of business with a minimum of …
Read more on Enterprise Apps Today

Suggestions for the MBTA
And to give him credit, he appears to be taking constructive action — appointing a commission to investigate the root causes behind maintenance, financial, and service issues plaguing the T and having personal meetings with Keolis. …. Let's enhance …
Read more on Boston Globe (subscription)

Banks to focus on digital services, big data and cyber security in 2015
Microsoft predicts that digital banking, big data analytics, and cyber security will be the three key priorities for companies operating in the banking and financial services sectors in 2015. According to a recent study by the British Bankers …
Read more on OnWindows.com

Big Data Financial Services on eBay:

Hoboken, NJ (PRWEB) November 12, 2014

Stevens Institute of Technology, a premier, private research university, and Accenture (NYSE: ACN) have initiated a research and education collaboration to focus on analytics for the financial services industry. As part of the three-year collaboration, Accenture and Stevens will conduct advanced analytics research projects and workshop sessions with Accenture’s financial services clients, and Stevens will begin offering a Financial Services Analytics (FSA) Graduate Certificate Program in January 2015.

The FSA curriculum was developed to combine the latest academic thinking with industry-proven experience to address evolving analytics needs in the financial services industry, including aspects of financial big data and data visualization. Coursework is being offered through Stevens’ School of Systems and Enterprises, Financial Engineering (FE) Division. The FE Division at Stevens offers comprehensive research and education programs at the master’s and doctoral levels, and is led by world-renowned and industry-connected faculty.

Qualified students will have the opportunity to participate in internships with Accenture and other leading firms. Scholarships funded by Accenture will be awarded to two students per year to cover tuition and fees for the FSA graduate certificate.

According to recent Accenture research, one of the main big-data challenges organizations are facing globally is the lack of talent to implement and run big data and analytics on an ongoing basis. For the financial services industry, the demand for professionals with credentials in financial services analytics is strong, and it is growing at a rapid pace. Another report by Accenture indicates that the United States could face a shortage of more than 260,000 analysts by 2015. The same report, “The Looming Global Analytics Talent Mismatch in Banking,” articulated specific strategies for closing the talent gap, including the addition of business analytics coursework at the university level. The Financial Services Analytics Graduate Certificate Program is specifically designed to help close the talent gap through graduate-level coursework.

“Finding and accessing analytics talent will require innovative sourcing strategies to bridge the gap between supply and demand,” said John DelSanto, senior managing director for Accenture’s Financial Services group in North America. “Stevens is teaching and researching complex systems and data analytics at a level that ties into an entire class of problems that we are addressing with our clients. As a result, Stevens graduates are well prepared to work on some of the most important business challenges of our times in financial services.”

“During this ‘century of complexity,’ our ability to understand and analyze data with perceptive questions in mind, supported by our ability to visualize the results of our analysis to allow strategic insights and critical decision-making, will be a key competitive discriminator for all organizations – commercial, government and academic,” said Dinesh Verma, dean of the School of Systems and Enterprises at Stevens. “With this in mind, the Stevens-Accenture collaboration has been established to develop optimal analytical competencies for the financial services enterprise.”

“In today’s financial environment of large data sets and data overload, there is a need for techniques to discover unique insights that allow businesses to increase the effectiveness of business operations, enhance customer relationships, improve product offerings and improve risk analysis and risk management,” said Dr. Rupak Chatterjee, an industry professor and deputy director of Financial Engineering at Stevens Institute of Technology. “The Stevens FSA curriculum was created based on the needs of Accenture’s clients in all of the major areas of the financial services industry – companies that can benefit from cutting-edge tools for the modern data-driven world. The FSA certificate will put students at the leading edge of financial analytics and technologies that are so critical for the big-data needs found in almost all aspects of life.”

The FSA Graduate Certificate Program features classes in topics such as:

             Data Quality and Composition
            Advanced Data Mining, Analytics and Visualization
            Creation of Databases and Decision-Making Tools
            Enterprise Level Data Analytics and Delivery
The 15-credit graduate certificate program is considered an option for completing a Financial Engineering Master’s Degree. Classes will be taught by Stevens scholars in Accenture’s midtown Manhattan offices, online and on Steven’s’ campus in Hoboken, N.J.

For more information or to apply, visit http://www.stevens.edu/fsa.

About Accenture

Accenture is a global management consulting, technology services and outsourcing company, with more than 305,000 people serving clients in more than 120 countries. Combining unparalleled experience, comprehensive capabilities across all industries and business functions, and extensive research on the world’s most successful companies, Accenture collaborates with clients to help them become high-performance businesses and governments. The company generated net revenues of US$ 30.0 billion for the fiscal year ended Aug. 31, 2014.Its home page is http://www.accenture.com.

Accenture Analytics, part of Accenture Digital, delivers insight-driven outcomes at scale to help organizations improve their performance. With deep industry, functional, business process and technical experience, Accenture Analytics develops innovative consulting and outsourcing services for clients to help ensure they receive returns on their analytics investments. For more information follow us @ISpeakAnalytics and visit http://www.accenture.com/analytics.

About Stevens Institute of Technology

Stevens Institute of Technology, The Innovation University®, is a premier, private research university situated in Hoboken, N.J. overlooking the Manhattan skyline. Founded in 1870, technological innovation has been the hallmark and legacy of Stevens’ education and research programs for more than 140 years. Within the university’s three schools and one college, more than 6,300 undergraduate and graduate students collaborate with more than 350 faculty members in an interdisciplinary, student-centric, entrepreneurial environment to advance the frontiers of science and leverage technology to confront global challenges. Stevens is home to four national research centers of excellence, as well as joint research programs focused on critical industries such as healthcare, energy, finance, defense, maritime security, STEM education and coastal sustainability. The university is consistently ranked among the nation’s elite for return on investment for students, career services programs and mid-career salaries of alumni. Stevens is in the midst of a 10-year strategic plan, The Future. Ours to Create, designed to further extend the Stevens legacy to create a forward-looking and far-reaching institution with global impact.

Big Data Technology is uncovering enormous opportunities in the financial services industry, but figuring out how to strategically integrate Big Data in a wa…