The document discusses the application of advanced visualization and analytics techniques on mainframe RMF and SMF data to leverage big data solutions for IT system utilization. It emphasizes the challenges presented by big data characteristics and the potential business value derived from effective data analysis and visualization. The session includes demonstrations of new techniques and explores the integration of visual analytics into capacity reporting and forecasting processes.

1. Copyright © 2012, SAS Institute Inc. All rights reserved.
ADVANCED VISUALISATION ON MAINFRAME
RMF AND SMF DATA
(APPLYING BIG DATA SOLUTIONS TO IT SYSTEM UTILISATION DATA)
ANDREW GADSBY, MAINFRAME BUSINESS DEVELOPMENT
andrew.gadsby@sas.com
MIKE WROOT, MAINFRAME TECHNICAL SPECIALIST
michael.wroot@sas.com

2. Copyright © 2012, SAS Institute Inc. All rights reserved.
ABSTRACT ANDREW GADSBY and MIKE WROOT
Title:
Advanced Visualisation and Analytics on Mainframe RMF and SMF Data
(Applying Big Data techniques to IT system utilisation data)
Abstract:
Much has been written about applying analytics to Big Data problems and how advanced visualisation techniques allow
businesses to create new value from Big Data. At SAS we are seeing many customer facing organisations make
extensive use of new visualisation techniques to derive significant business value from the mass of data available to
them.
IT also suffers from its own Big Data problem with the 4 V’s (volume, velocity, variety and variability) applying to IT
systems performance and capacity data. We wondered if it would be possible to apply Big Data visualisation and
analytic techniques to mainframe RMF and SMF data. In particular, we wanted to understand if analysis in this way
could deliver value back into IT.
This session will present an overview of the approach we took to analyse and visualise this data, and illustrate some of
the value that could be derived from such analysis. We will also give a live demonstration of our solution.

3. Copyright © 2012, SAS Institute Inc. All rights reserved.
AGENDA ADVANCED VISUALISATION
• Introductions
• How are Your Business Users Looking at their Data?
Demonstration
• How does IT undertake capacity reporting today?
• Linking Visualisation to Capacity Reporting and Forecasting
Demonstration
• Observations and Conclusion

4. Copyright © 2012, SAS Institute Inc. All rights reserved.
ACKNOWLEDGEMENT FROM THE MAGIC CIRCLE….

5. Copyright © 2012, SAS Institute Inc. All rights reserved.
AGENDA ADVANCED VISUALISATION
• Introductions
• How are Your Business Users Looking at their Data?
Demonstration
• How does IT undertake capacity reporting today?
• Linking Visualisation to Capacity Reporting and Forecasting
Demonstration
• Observations and Conclusion

6. Copyright © 2012, SAS Institute Inc. All rights reserved.
“The Greatest Value Of A Picture
Is When It Forces Us To Notice
What We Never Expected To See.”
John W. Tukey, Exploratory Data Analysis 1977

7. Copyright © 2012, SAS Institute Inc. All rights reserved.
BUSINESS USERS
VIEW
VISUALISATION OF BIG DATA
• Visually Exploring Their Data Using Tablets
• User Self Service is Becoming the Norm
• Speed of Thought Investigation and Discovery
• Building Analytical Data Warehouses (ADW)
• Improved Decision Taking Across the Business
• Static Reports are No Longer Acceptable

8. Copyright © 2012, SAS Institute Inc. All rights reserved.
Central Entry Point Integration Role-Based Views
DELIVERPREPARE EXPLORE DESIGN
• SAS
®
Mobile BI - native
tablet applications
delivering interactive
reports
• Web and PDF
• Manage data
• Load and join data
• Create calculated
columns
• Perform ad-hoc data
exploration
• Insights generated
through analytic
visualizations
• Create dashboard style
reports for web or
mobile
IN-MEMORY ANALYTICS ENGINE
SAS®
VISUAL
ANALYTICS
A SOLUTION FOR FASTER, SMARTER DECISIONS
www.sas.com/visualanalytics

9. Copyright © 2012, SAS Institute Inc. All rights reserved.
DEMONSTRATION
SAS® VISUAL ANALYTICS
MEGACORP

20. Copyright © 2012, SAS Institute Inc. All rights reserved.
AGENDA ADVANCED VISUALISATION
• Introductions
• How are Your Business Users Looking at their Data?
Demonstration
• How does IT undertake capacity reporting today?
• Linking Visualisation to Capacity Reporting and Forecasting
Demonstration
• Observations and Conclusion

21. Copyright © 2012, SAS Institute Inc. All rights reserved.
HOW I.T. LOOKS AT
PERFORMANCE
DATA
VISUALISATION OF I.T. DATA
• Mainframe e.g. MXG, MICS using SMF and RMF data
• Distributed e.g. SAR, NMON…
• Static Reports - GIFs
• Export to Excel

22. Copyright © 2012, SAS Institute Inc. All rights reserved.
AGENDA ADVANCED VISUALISATION
• Introductions
• How are Your Business Users Looking at their Data?
Demonstration
• How does IT undertake capacity reporting today?
• Linking Visualisation to Capacity Reporting and Forecasting
Demonstration
• Observations and Conclusion

23. Copyright © 2012, SAS Institute Inc. All rights reserved.
LINKING
VISUALISATION TO
I.T. DATA
EXAMPLE HIGH-LEVEL ARCHITECTURE
SAS® VISUAL ANALYTICS ENVIRONMENT
Desktop
Web
Mobile
SAS VA CLIENTS
SMF/RMF
SAR
OpenView
AWR
Workspace Server
Mid-Tier
VA Server
Co-Located Data
Storage
Co-Located Data
Storage
Co-Located Data
Storage
SAS® LASR Analytic
Server
LASR Cluster

24. Copyright © 2012, SAS Institute Inc. All rights reserved.
DEMONSTRATION
SAS® VISUAL ANALYTICS FOR I.T.
MEGACORP I.T.

41. Copyright © 2012, SAS Institute Inc. All rights reserved.
OBSERVATIONS &
CONCLUSIONS
VISUALISATION OF I.T. DATA
• Loading and Visualisation of the underlying data was the easy bit
• Understanding what the data means is critical
• Just because you can view things a certain way doesn’t mean it makes sense!
• Good news here as a capacity planning expert you will still keep your job
• Correlation is hard
• Drill down from CPU utilisation at point of time to recreate workload/job step view
is difficult
• Resolving this needs effort at data preparation / load time
• Changes way that capacity planning and forecasting is approached
• Could drive significant reduction in static report production on mainframe (CPU saving ? )
• We are Continuing Development of this Technology and Use Case

42. Copyright © 2012, SAS Institute Inc. All rights reserved.
QUESTIONS?
THANK YOU