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Showing posts with the label mainframemodernization

Why do Banks and Financial Institutions still use Mainframes?

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The rise of startups, the emergence of new technologies like big data, and faster networks. All of these are making most of us believe that distributed computing is here to replace the age old centralized computing. In other words, with the emergence of cloud and mobile computing, mainframes should soon become an obsolete technology. Well interestingly enough, mainframes don’t seem to be going out of the picture anytime soon. Ever since the launch of IBM’s first mainframe range in 1964, System/360, mainframes have never seen a dull day in business. Mainframes occupy a coveted place in various fields like banking, healthcare, finance, insurance, government, and a plethora of other public and private enterprises. Mainframes continue to be a favorite, especially with the banking sector. Major banks and financial institutions have mainframes at the center of their technological strategies. Do you think why? All this while you were told that the popular storyline is that n

What can be achieved in Digital Transformation in Mainframes?

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As the old saying goes, if it ain’t broke, don’t fix it. Although digital transformation tends to throw out many traditional tools in order to incorporate new ones, there are still some old school devices that still hold value for leading industries, and help drive innovation. Mainframes are among those tools. They play a central role in the way major financial services operate because they provide a foundation that supports how devices function. According to  Datatrain,  more than 70% of global Fortune 500 companies still use the mainframe to run their core business functions, because mainframes hold the capabilities to manage large amounts of data that financial  institutions hold. Banks use mainframes for ATMs, in order to store transactional data because they provide a type of processing power that devices, such as ATM’s need in order to perform. “Only big iron has the muscle to run real-time data analysis and analytics on all transactions, providing these organiz