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Big Data trends in FinanceHow Big Data is proving invaluable to Finance10
I. Predictions via history 
Market data sets with historical records used to feed predictive models, forecasts & assess trading impacts!
II. Transparent analyses 
Deeper analyses on governance & risk reporting 
Necessary for regulations & compliance standards
III. ERM scale-up 
Makes risk management easy 
Improved transparency, auditability & provisions against human lapses
Data from multiple data touch-points (branch, web, mobile) to supplement new predictive analysis 
Focus on behavior patterns & increased conversion IV. Consumer-centric data strategy
THIS IS WHERE BIG DATA IS ALSO USED
V. Exploring newer markets 
Substantial big data investment & infrastructure in BRIC economies 
Rising local & cloud-based data capacities
VI. Reducing cost of business 
Employing advanced big data storage & process frameworks 
Easing operations functionality to discover innovative trading opportunities
VII. Framework reconfiguration 
Restructuring ETL processes to help manage large data siloes & large-scale data processing 
ETL 
More on
VIII. Improving credit risk models 
Running analytics & enabling predictive analysis based on historical payment behavior 
Predict & determine future risk 
Provisioning priority collections
More on Predictive Analysis
Universal use of mobile applications & Internet- connected devices (tablets, smartphones) to collect trading information 
Raising tech stack to battle data deluge 
Frameworks to integrate structured & unstructured data equallyIX. Increasing data collection points
X. Impermeable data centers 
Innovating self-secured algorithms to process data 
Ensuring data security to access control on & minimize negative impact on existing systems
SOURCE: insideBIGDATA
VISIT www.promptcloud.com/blog 
FOR MORE BIG DATA ANALYTICS, AND WEB CRAWLING ARTICLES

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Top Ten Big Data Trends in Finance

  • 1. Big Data trends in FinanceHow Big Data is proving invaluable to Finance10
  • 2. I. Predictions via history Market data sets with historical records used to feed predictive models, forecasts & assess trading impacts!
  • 3. II. Transparent analyses Deeper analyses on governance & risk reporting Necessary for regulations & compliance standards
  • 4. III. ERM scale-up Makes risk management easy Improved transparency, auditability & provisions against human lapses
  • 5. Data from multiple data touch-points (branch, web, mobile) to supplement new predictive analysis Focus on behavior patterns & increased conversion IV. Consumer-centric data strategy
  • 6. THIS IS WHERE BIG DATA IS ALSO USED
  • 7. V. Exploring newer markets Substantial big data investment & infrastructure in BRIC economies Rising local & cloud-based data capacities
  • 8. VI. Reducing cost of business Employing advanced big data storage & process frameworks Easing operations functionality to discover innovative trading opportunities
  • 9. VII. Framework reconfiguration Restructuring ETL processes to help manage large data siloes & large-scale data processing ETL More on
  • 10. VIII. Improving credit risk models Running analytics & enabling predictive analysis based on historical payment behavior Predict & determine future risk Provisioning priority collections
  • 11. More on Predictive Analysis
  • 12. Universal use of mobile applications & Internet- connected devices (tablets, smartphones) to collect trading information Raising tech stack to battle data deluge Frameworks to integrate structured & unstructured data equallyIX. Increasing data collection points
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