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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.
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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.
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?
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Big Data companies
Telecom service providers
Financial services companies
Regulatory and policy makers
Data services and analytics companies
Cloud and telecom infrastructure providers
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
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