IBM has announced new capabilities for IBM System z mainframe, which aim to provide real-time, actionable insights into commercial transactions.
The new offering combines the traditional transactional power of System z with Big Data analytic capabilities to deliver a single, streamlined, end-to-end data system, the company said.
With these enhancements IBM addresses the big data challenges associated with increasing smartphone adoption and the deluge of customer interactions occurring through social platforms.
Businesses often fail to deliver instantaneous, on-demand customer service with outdated IT systems that can only provide after-the-fact intelligence, according to IBM.
The new system offers real-time integration of analytics and transaction processing allowing businesses to increase the value of a customer information profile with every interaction the customer makes.
By applying analytic tools to business transactions as they are occurring, the mainframe systems can allow clients to have true “real-time” insights, IBM said. It will help prevent fraud before it happens.
Clients can also incorporate social media into their real time analytic analysis to gain an indication of how their business is performing “in the moment” and how they stack up to their competitors.
“Off-loading operational data in order to perform analytics increases cost and complexity while limiting the ability of businesses to use the insights in a timely manner,” said Ross Mauri, general manager, System z, IBM Systems & Technology Group.
“Now there is an end-to-end solution that makes analytics a part of the flow of transactions and allows our clients to gain real time insights while improving their business performance with every transaction,” Mauri added.
Some of the new capabilities added to System z include IBM InfoSphere BigInsights for Linux on System z, IBM DB2 Analytics Accelerator, IBM Elastic Storage for Linux on System z and IBM Cloud Manager with OpenStack for System z.
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