Big Data and Predictive Analytics


big data for finance

Discovering value in large amounts of information in a timely manner and strategizing based on the insights gained should be the cornerstone of a successful financial organization. Traditionally, financial institutions have keenly embraced the use of quantitative methodologies in activities ranging from pricing, risk management, portfolio optimization, and algorithmic trading including its recent iteration--high frequency trading. In order to work proficiently, financial models and algorithms must be tuned based on the most up to date and comprehensive real world information. This is where the future certainly belongs to big data technologies. A few possible applications include:

For retail banking institutions, big data can prove to be extremely useful in several scenarios like:

big data finance