Big Data and AI Services for Financial and Banking Industries The financial services industry has become one of the biggest consumers and producers of data.

Follow these Big Data use cases in banking and financial services and try to solve the problem or enhance the mechanism for these sectors. The Role of Big Data in the Banking and Financial Industry In today’s data-driven world, data is a powerful tool in the development of several big industries. On a worldwide scale, more and more companies are purchasing big data and business analytics (BDA) solutions: IDC reports that worldwide revenues for big data and business analytics will surpass $203 billion in 2020. Big data in banking is growing astronomically big as the companies rush to collect more insights about their users to drive product development. In this special guest feature, David Friend, co-founder & CEO of Wasabi Technologies, takes a look at the big data and cloud storage technology stack as it relates to the finance industry. Read through its benefits to plunge into right away. The role of big data in the banking sector has a lot to do with just that – the ability to make meaning from huge amounts of data. Consumers can benefit from much more personalized interactions with financial institutions while financial services companies will be able to increase revenue and reduce loss from fraud and other malicious activity. Data drives the modern financial industry in many ways. Big data in the banking and financial services industries have been responsible for helping to create better customer experiences and also help protect businesses. The increased digitization of financial markets has highlighted the importance of data – 2.5 quintillion bytes of data is being produced every day & the pace is only accelerating with the advent of Internet of Things , smart city initiatives, data driven markets & the complete automation of every sector of the globalized economy. Most banking and financial services are exploring new ways to integrate big data analytics into their processes for maximum output. Today, most banking, financial services, and insurance (BFSI) organizations are working hard to adopt a fully data-driven approach to grow their businesses and enhance the services they provide to customers. Like most other industries, analytics will be a critical game changer for those in the financial … 5 Top Big Data Use Cases in Banking and Financial Services. Datameer helps companies analyze their big data to find new insights that drive higher business performance. While some financial services organizations may be resistant to change, the fact remains that big data is here to stay. Big data maturity levels, Microsoft and Celent, How Big is Big Data: Big Data Usage and Attitudes among North American Financial Services Firm, March 2013.

The financial services industry is highly competitive, with products fighting for the smallest differentiation to make an impact in the market.

Learn about the many benefits of big data analytics in the banking and financial services industry.

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