Top Big Data Trends in 2017 for Financial Services in Doha Al Rayyan Qatar

August 4, 2021

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For banks, big data enterprises mainly spin around improving customer intelligence, decreasing risk, and meeting controlling objectives. These are all activities that big financial firms continue to challenge and will do so for the predictable future. Down-market and small-tier firms are now able to adopt data platforms that are helping them resolve architectural complexities which their associates must work against. Banking analytics solutions therefore can move more rapidly on growth, profitability and strategic projects that are expected at more direct revenue contribution, versus the more long-term, agreement and cost-dominated priorities that larger bank organizations are focused on.
The market for information programming and administrations suppliers is drawing nearer to a limit where banks should receive, on bigger scales and with more prominent certainty, answers for oversee inward operations and customer confronting exercises. This is similar to the way we have seen cloud advancements take. Here are some predictions about how big data analytics solutions that are developing, and how these changes will affect the financial services production:

Machine learning will quicken, and will be progressively connected inside the misrepresentation and hazard areas. Information researcher request and supply keeps on working towards harmony. Big data analytics solutions are being functional within fraud and risk that progress models and allow enhancement towards more real-time analysis and notifying. This increasing speed will originate from instruction and true uses of market pioneers.
Gaps will turn out to be more apparent between the pioneers and the loafers. Every year we see banks that press the gas pedal and are prepared to embrace new innovation, and those that stay traditionalist in their endeavors to run/change their association. The stories and utilize cases will multiply and turn out to be more shifted in 2017, and will prompt to expanded proof of solid, noticeable and benchmark business returns in the more extensive market.
Data governance, lineage, and other submission features will become more deeply interlinked with big data analytics solutions. In order to find a more comprehensive data solution to manage compliance commands, many banks improve or purchase point solutions, or they try to use current legacy platforms that are not intelligent to deal with the data flow. Fortunately, there are an increasing number of enhanced data governance and quality solutions. More importantly, these new platforms can reach beyond and into traditional data stores to complete the image for guideline, and they are doing so with the volume, speed, and feature needed to achieve compliance. In addition, 2017 will continue to see the push for data lakes that can help as joined regulatory and risk hubs.

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