We have focused on a number of analytics tools available in the market that may be of interest for transaction banks. We have alsohighlighted some of the challenges transaction banks might face when implementing a Big Data analytics framework and have presented our point of view on how best to...
In order to harness value from such high-volume and high-variety of data, banks need to resolve several challenges, such as finding efficient ways to perform Big Data analytics and to provide solutions that help to increase the involvement of bank employees, the true decision-makers. In this ...
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However, as we explained in the article on theBig Data visualization principles, the 3 v’s are useless if they do not lead to the 4’th one —value. For the banks, this means they can apply the results of big data analysis real time and make business decisions accordingly. This can ...
Invest in critical analytics roles.Banks are expanding their analytics teams to meet the growing need for specific technical profiles: data engineers, data scientists, visualization specialists, and machine-learning engineers. But, in addition to adding pure technical analytics talent, banks are facing ...
can derive so much from the customers’ data they hold. In an interview with the Kenyan Wallstreet, the top executive said, “The technology we have today enables so much more to be done with the data that banks have. Banks are not using the data they have in the most robust way…”...
Since 2017, Adastra has played a significant role in designing and developing a big data analytics platform for one of the top 5 Czech banks, which operates on-premises. Our deliverables include ongoing solution development and service support. From initial lab experiments to real-time production,...
Banks don’t make their money off of the nominal amounts they take in for overdraft protection and transaction fees. Their money comes from investing their deposits into ventures that make money. Until data analytics came of age, this involved a great deal of educated guesswork. With analytics...
The rising interest in these banks to compete with and distinguish themselves from the technology-driven competitors is slowly gaining momentum. They are partnering with the cloud offering companies like Verizon Enterprise Solutions, Amazon, IBM and Google to get storage for Big Data and Analytics at...
The rising interest in these banks to compete with and distinguish themselves from the technology-driven competitors is slowly gaining momentum. They are partnering with the cloud offering companies like Verizon Enterprise Solutions, Amazon, IBM and Google to get storage for Big Data and Analytics at...