Posts Tagged ‘social media’

Arcati 2017 Mainframe Survey—Cognitive a No-Show

February 2, 2017

DancingDinosaur checks into Arcati’s annual mainframe survey every few years. You can access a copy of the 2017 report here.  Some of the data doesn’t change much, a few percentage points here or there. For example, 75% of the respondents consider the mainframe too expensive. OK, people have been saying that for years.

On the other hand, 65% of the respondents’ mainframes are involved with web services. Half also run Java-based mainframe apps, up from 30% last year, while 17% more are planning to run Java with their mainframe this year. Similarly, 35% of respondents report running Linux on the mainframe, up from 22% last year. Again, 13% of the respondents expect to add Linux this year.  Driving this is the advantageous cost and management benefits that result from consolidating distributed Linux workloads on the z. Yes, things are changing.

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The biggest surprise for DancingDinosaur, however, revolved around IBM’s latest strategic initiatives, especially cognitive computing and blockchain.  Other strategic initiatives may include, depending on who is briefing you at the moment—security, data analytics, cloud, hybrid cloud, and mobile. These strategic imperatives, especially cognitive computing, are expected to drive IBM’s revenue. In the latest statement, reported last week in DancingDinosaur, strategic imperatives amounted to 41% of revenue.  Cloud revenue and Cloud-as-a-service also rose considerably, 35% and 61% respectively.

When DancingDinosaur searched the accompanying Arcati vendor report (over 120 vendors with brief descriptions) for cognitive only GT Software came up. IBM didn’t even mention cognitive in its vendor listing, which admittedly was skimpy. The case was the same with Blockchain; only one vendor, Atos, mentioned it and nothing about blockchain in the IBM listing. More vendors, however, noted supporting one or some of the other supposed strategic initiatives.

Overall, the Arcati survey is quite positive about the mainframe. The survey found that 50 percent of sites viewed their mainframe as a legacy system (down from last year’s 62 percent). However, 22 percent (up from 16 percent last year) viewed mainframe as strategic, with 28 percent (up from 22 percent) viewing mainframes as both strategic and legacy.

Reinforcing the value of the mainframe, the survey found 78 percent of sites experienced some kind of increase in capacity. With increased demand for mainframe resources (data and processing), it should not be surprising that respondents report an 81 percent an increase in technology costs. Yet, 38 percent of sites report their people costs have decreased or stayed the same.

Unfortunately, the survey also found that 70 percent of respondents thought there were a cultural barrier between mainframe and other IT professionals. That did not discourage respondents from pointing out the mainframe advantages: 100 percent highlighted the benefit of the mainframe’s availability, 83 percent highlighted security, 75 percent identified scalability, and 71 percent picked manageability as a mainframe benefit.

Also, social media runs on the mainframe. Respondents found social media (Facebook, Twitter, YouTube) useful for their work on the mainframe. Twenty-seven percent report using social (up slightly from 25 percent last year) with the rest not using it at all despite IBM offering Facebook pages dedicated to IMS, CICS, and DB2. DancingDinosaur, only an occasional FB visitor, will check it out and report.

In terms of how mainframes are being used, the Arcati survey found that 25 percent of sites are planning to use Big Data; five percent of sites have adopted it for DevOps while 48 percent are planning to use mainframe DevOps going forward. Similarly, 14 percent of respondents already are reusing APIs while another 41 percent are planning to.

Arcati points out another interesting thought: The survey showed a 55:45 percent split in favor of distributed systems. So, you might expect the spend on the two types of platform to be similar. Yet, the survey found that 87 percent of an organization’s IT spend was going to distributed systems! Apparently mainframes aren’t as expensive as people think. Or put it another way, the cost of owning and operating distributed systems with mainframe-caliber QoS amounts to a lot more than people are admitting.

DancingDinosaur is Alan Radding, a veteran information technology analyst, writer, and ghost-writer. Please follow DancingDinosaur on Twitter, @mainframeblog. See more of his IT writing at technologywriter.com and here.

 

Real-Time Analytics on z Lead at IBM Enterprise2014 Opening Day

October 8, 2014

Users have always been demanding about performance. But does the 5-minute rule noted by Tom Rosamilia in the opening keynote at IBM Enterprise2014 go too far? It now seems users expect companies to respond, or at least acknowledge, their comments, questions, or problems in five minutes. That means companies need to monitor and analyze social media in real-time and respond appropriately.

Building on client demand to integrate real-time analytics with consumer transactions, IBM yesterday announced new capabilities for its System z. Specifically, IBM is combining the transactional virtues of the z with big data analytic capabilities into a single, streamlined, end-to-end data system. This real-time integration of analytics and transaction processing can allow businesses to increase the value of a customer information profile with every interaction the customer makes.  It also promises one way to meet the 5-minute rule, especially when a customer posts a negative comment on social media.

With the new integrated capability you can apply analytics to social sentiment and customer engagement data almost as the transactions are occurring. The goal is to gain real-time insights, which you can do on the mainframe because the data already is there and now the real time analytics will be there. There is no moving of data or logic.  The mainframe already is doing this when it is being used for fraud prevention. This becomes another case where the mainframe can enable organizations to achieve real-time insights and respond within five minutes. Compared to fraud analysis the 5-minute expectation seems a luxury.

By incorporating social media into the real time analytic analysis on the mainframe you can gain an indication of how the business is performing in the moment, how you stack up to your competitors, and most importantly, meet the 5-minute response expectation.  Since we’re talking about pretty public social sentiment data, you also could monitor your competitors’ social sentiment and analyze that to see how well they are responding.

And then there are the more traditional things you can do with the integration of analytics with transactional data to provide real-time, actionable insights on commercial transactions as they occur. For example you could take advantage of new opportunities to increase sales or prevent customer churn.

According to IBM this is being driven by the rise of mobile and smartphones, numbering in the billions in a few years. The combination of massive amounts of data and consumers who are empowered with mobile access is creating a difficult challenge for businesses, IBM noted in the announcement. Consumers now expect an immediate response—the 5 minute rule—to any interaction, at any time, and through their own preferred channel of communication. Unfortunately, many businesses are trying to meet this challenge and deliver instantaneous, on-demand customer service with outdated IT systems that can only provide after-the-fact intelligence.

Said Ross Mauri, General Manager, System z, IBM Systems & Technology Group: “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.” The better approach, he continued, is to turn to an end-to-end solution that makes analytics a part of the flow of transactions and allows companies to gain real time insights while improving their business performance with every transaction.

Of course,  Mauri was referring specifically to the System z.  However, Power Systems and especially the new POWER8 machines, which have a strong presence here at IBM Enterprise2014, can do it too. Speaker after speaker emphasized that the Power machines are optimized for lightning fast analytics, particularly real time analytics.

Still, this was a z announcement so IBM piled on a few more goodies for the z. These include new analytics capabilities for the mainframe to enable better data security and provide companies with the ability to integrate Hadoop big data with the z. Specifically, IBM is delivering:

  • IBM InfoSphere BigInsights for Linux on System z – Combines open-source Apache Hadoop with IBM innovations to deliver enterprise grade Hadoop for System z clients;
  • IBM DB2 Analytics Accelerator – Enhances data security while delivering 2000 times the response time for complex data queries.
  • New capabilities in Linux and the cloud for system z, such as IBM Elastic Storage for Linux on System z, which extends the benefits of Elastic Storage to the Linux environment on z servers, and IBM Cloud Manager with OpenStack for System z, which enables heterogeneous cloud management across System z, Power and x86 environments.

Many of these pieces are available now.  You can meet the 5-minute rule sooner than you may think.

Alan Radding is DancingDinosaur. Follow him on Twitter, @mainframeblog, or check out his website, Technologywriter.com

 

Big Data as a Game Changing Technology at IBM Edge 2013

June 11, 2013

If you ever doubted that big data was going to become important, there should be no doubt anymore. Recent headlines from the past couple of weeks of the government capturing and analyzing massive amounts of daily phone call data should convince you. That this report was shortly followed by more reports of the government tapping the big online data websites like Google, Yahoo, and such for even more data should alert you to three things:

1—There is a massive amount of data out there that can be collected and analyzed.

2—Companies are amassing incredible volumes of data in the normal course of serving people who readily and knowingly give their data to these organizations. (This blogger is one of those tens of million .)

3—The tools and capabilities are mature enough for someone to sort through that data and connect the dots to deliver meaningful insights.

Particularly with regard to the last point this blogger thought the industry was still five years away from generating meaningful results from that amount of data coming in at that velocity. Sure, marketers have been sorting and correlating large amounts of data for years, but it was mostly structured data and not at nearly this much. BTW, your blogger has been writing about big data for some time.

If the news reports weren’t enough it became clear at Edge 2013 that big data analytics is happening and companies like Constant Contact and many others are succeeding at it now. It also is clear that there is sufficient commercial off-the-shelf computing power from companies like IBM and analytics tools to sort through massive amounts of data and make sense of it fast.

Another interesting point came up in one of the many discussions touching on big data. Every person’s personal data footprint is as unique as a fingerprint or other bio-metrics. We all visit different websites and interact with social media and use our credit and debit cards in highly individual ways. Again, marketers have sensed this at some level for years, but they haven’t yet really honed it down to the actual individual on a mass scale, although there is no technical reason one couldn’t.

Subsequent blogs will take up other topics from Edge 2013, such as software defined everything.

Although there were over a dozen sessions on System z topics, the mainframe did not have a big presence at the conference. However, Enterprise Systems 2013 was being promoted at IBM Edge. It will take place Oct. 21-25 in Orlando, Fl. It will combine the System z and the Power System Technical University along with a new executive-focused Enterprise Systems event. It will include new announcements, peeks into trends and directions, over 500 expert technical sessions across 10 tracks, and a comprehensive solution center.


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