The results from Syncsort’s annual State of the Mainframe Survey are in! The importance of mainframe data is rising as a critical component of enterprise-wide strategies that leverage modern data architectures for Big Data analytics and security and compliance. Join us for a live webcast and Q&A as we take you through an in-depth look at the survey results and the four trends to watch for in 2017. You’ll also learn how for their organizations your peers view:
• The future of mainframe and mainframe-related budgets
• The importance of Mainframe data for Big Data analytics
• The need for operational intelligence and security intelligence for the mainframe
• How IT priorities are shifting (and where)
3. Session Abstract and Speakers
The results from Syncsort’s annual State of the Mainframe Survey reveal the importance of mainframe
data is rising as a critical component of enterprise-wide strategies that leverage modern data
architectures for Big Data analytics and security and compliance.
You’ll get an in-depth look at the survey results and four trends to watch for in 2017. You’ll also learn:
• The future of mainframe and mainframe-related budgets
• The importance of Mainframe data for Big Data analytics
• The need for operational intelligence and security intelligence for the mainframe
• How IT priorities are shifting (and where)
Syncsort Confidential and Proprietary - do not copy or distribute
Stan Hoey
Director
EMEA Customer Support
Sid Isted
Director
Software Development
4. How to reduce software costs?
How to reduce processing times to meet SLAs?
How to leverage zIIP engines?
How to optimize them?
How to manage people and IT resources?
How to defer hardware upgrades?
How to identify potential processing savings?
How to optimize z/OS databases? What about IMS?
Syncsort Confidential and Proprietary - do not copy or distribute
How to best manage growing Mobile workloads?
Trends: Where Do They Come From?
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6. Some things were expected…
Meeting SLAs are still a primary focus
for most organizations
Organizations continue to for ways to
reduce and contain cost
Mainframes are still the predominant
platform for performing large-scale
transaction processing on mission-
critical applications
The IBM z/OS mainframe isn’t going
away in the near term
Mainframe budgets remain relatively
flat
Organizations continue to be
challenged to maintain mainframe
expertise
6
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7. Some new indicators emerged…
Analytics for both operational
intelligence, as well as for security
and compliance is rising in
importance for many organizations
While “Big Data” analytics is on
the rise for mainframes, the
results indicate that most
organizations will perform analysis
off the mainframe
Hadoop is the dominant platform
of choice for analytics
The mainframe is no longer the
isolated “black box”
7
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8. Big Data Poll
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Q1.Which Big Data analytics platforms does your company use today?
o Hadoop
o Splunk
o Other Data Warehouse
o Don’t Know
(Check all that apply)
9. Big Iron Trends to Watch for in 2017: Big data analytics for operational
intelligence, security, and compliance will continue to grow and emerge as
a critical project in organizations.
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10. Big Iron Trends to Watch for in 2017: Mainframe-based tools and batch
processes will yield ground to new technologies including Hadoop, Spark,
and Splunk for big data analytics.
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11. Big Iron Trends to Watch for in 2017: Increased interest from LOBs and
Marketing departments for real-time access to mainframe machine data
(SMF, RMF, log data, etc.) for business analytics
11
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12. Big Iron to Big Data Poll
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Q2. Is Mainframe “log” data going into your big data platform/repository?
o Yes, it is being streamed into it today
o Yes, it goes into it via periodic batch/other input method
o No, but that data has been requested/is desired
o No
o Don’t Know
13. Big Iron Trends to Watch for in 2017: Organizations will expand use of zIIP
engines to help contain costs within flat budgets
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15. Big Iron Trends to Watch for in 2017: Technologies that enhance data
movement, as well as monitoring data movement between platforms, will
rise in importance.
15
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16. Big Iron Trends to Watch for in 2017: Technologies that help address the
diminishing pool of mainframe talent and expertise will rise in importance.
16
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17. Big Iron Trends to Watch for in 2017: Security and compliance mandates
will be key drivers for technology evaluations and purchases.
17
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18. Big Iron Trends to Watch for in 2017: Security and compliance mandates
will be key drivers for technology evaluations and purchases.
18
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budgets for both compliance-related and
cs activities for mainframe are growing,
e budget lines (i.e. Risk & Compliance,
t, etc.).
19. Final Thoughts…
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Mainframe isn’t dead Budgets are flat
H/W capacity
spending is up
S/W & services
spending is down
20. Summary: The 5 Key Take-a-ways from these results…
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1. Big data analytics for operational intelligence, security, and compliance is on the rise
2. Security and compliance mandates are going to drive technology evaluations and purchases
3. Mainframe data is a key piece of the big data analytics wave but it will done off platform in
Hadoop, Spark, and Splunk where it is more cost-effective, functionally robust, and requires
less mainframe subject matter expertise
4. Mainframe talent and expertise is diminishing so companies must look at tools and
technologies that will let them continue to be successful using a staff with different skills
5. Organizations must effectively monitor and report on data movement and use from within
and outside the mainframe to address security and compliance mandates
21. Industry Leader in Mainframe
Software Products
2017 Big Iron Trends: How to Best Address Them?