5063 - IT Operations Analytics Bridging Business and IT As presented at IBM InterConnect 2016

1. IT Operations Analytics =
Bridging Business and IT
Session #5063

2. Objectives
The ability to meet customer demands now and in the future is a critical function in any
business. Being caught by surprise by spikes in IT demand from the business could mean you
are not just leaving money on the table, but also not meeting your customers' needs.
See how to collect, organize and convert infrastructure data into business-relevant
information, and how solutions from IBM can help you to:
1. Describe and understand current state;
2. Predict future trends and growth; and
3. Provide prescriptive optimization recommendations to address gap analysis or anomaly detection "what-if" scenarios.
The insight you gain will allow you to better handle the business dynamics of the applications
that consume IT infrastructure resources.
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3. IT Operations Analytics
 Business Analytics
Analytics based on corporate data to gain insights for business initiatives.
- customer buying patterns
- using tool such as SPSS, Cognos
 Operational Analytics
Analytics as part of transaction processing, aka OLTAP – OnLine Transactional and
Analytics Processing.
- Fraud detection on a banking transaction
- IDAA usage with z/OS
 IT Operations Analytics
Analytics against machine data to make IT systems smarter,
and IT teams more efficient
2

4. Search & Analyze:
 Quickly search and analyze large volumes of data from a single search bar
 Perform log and performance analysis while searching
 Correlate messages from multiple logs for end-to-end problem diagnosis
Predict:
 Pro-Active Outage Avoidance
 Predict problems before they occur
Optimize:
 Improve performance across IT Infrastructure
IBM is focused on managing end-to-end analytics for improved performance and
workload management
3
IBM Analytics solutions for z Systems
Predict
IBM zAware
zOI
Proactive Outage Avoidance
Search & Analyze
IBM Operations Analytics for z
Systems
Faster Problem Resolution
Optimize
IBM Capacity Management
Analytics (CMA)
Optimized Performance
3

5. The Capacity Management domain addresses three levels of maturity.
Business Capacity Management (BCM): This sub-process is
responsible for ensuring that the impacts of future business
requirements for IT services upon IT infrastructure resources are
considered, planned, and implemented in a timely fashion
Service Capacity Management (SCM): This sub-process is the
management of the performance of the IT services (applications)
used by the customers. It is responsible for ensuring that the
service performance is monitored, measured and reported; and
meets business requirements and agreements
Component Capacity Management (CCM): This sub-process
is the management of the performance, utilization, and capacity
of individual IT infrastructure components possessing finite
resources
ITIL® refers to these three levels as Capacity Management sub-processes.
Capacity Management is included in ITIL® process framework. 4

6. 5
Elements of Demand Management a main source of business demand used
by Capacity Management to develop capacity forecasts and solutions.
Excerpted from “Service economics” chapter of itSMF publication for
ITIL® V3 core documents, 2008-12-15.
Conceptual View
Business processes are the primary
source of demand for services.
Patterns of business activity (PBA)
influence the demand patterns seen by
the service providers (Figure5.23)
It is very important to study the
customer’s business to identify, analyse
and codify such patterns to provide
sufficient basis for Capacity
Management.
Visualize the customer’s business
activity and plans in terms of the
demand for supporting services
5

7. 6
…and…add ITIL V3 Service Strategy Demand Management
for ‘sense and respond’ alignment with client Business Transformation
ITIL® Demand Management Key Activities:
• Establish Demand Management framework
• Value and classify business demands
• Consolidate business demand patterns and
forecasts
• Forecast service demand
• Identify and plan demand management
initiatives
• Assess and report demand management
outcomes
• Evaluate demand management
performance
Capacity Management translates
business demand through to the
component level.

8. 7
Several tasks in the Demand Management process need to be driven by Capacity
Management to obtain improved capacity requirements and forecasts.
Demand Mgmt.
Process Activity
Demand Mgmt.
Process Task
Relationship with Capacity Management
Note: This is a minimal subset to provide input to Capacity Management
Value and Classify
Business Demands
Identify and Analyze
Business Demand Streams
and Demand
Work with business areas to gather business demand information,
analyze types of demand in business terms and obtain trend of the
demand - For customers of IT, internal and external
Forecast Service Demand Create Business Demand
Forecasts
Work with business areas to create forecasts of business demand for
major business areas
Assess & Report Demand
Mgt.
Identify Service Demand
Baselines
Determine existing baselines for service demand for given business
areas
Forecast Service Demand Translate Service Demand to
Service Consumption Units
Convert service demand into service consumption units for the business
areas
Forecast Service Demand Translate Business Demands
to Service Demands
Take business demand data and results and identify demand for specific
IT services
Forecast Service Demand Create Service Demand
Forecasts
Take the Service Demands and create forecast for the required IT
services (input to “Model and Size Capacity Requirements” and
“Produce and Maintain Capacity Plan”

9. The Analytics Maturity Model also has three levels of progression.
Analytics is a means to an end:
But its value comes from the decisions it enables
It is OK to start with reporting
But think about the decisions you want to enable
Data Insight Action
DecideAnalyze
Predictive Analytics
• What will happen?
Descriptive Analytics
• What has happened?
Prescriptive Analytics
• What should we do?
Business Value
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SEARCH & ANALYZE

10. AIX
Servers
DISCOVER | FORECAST | OPTIMIZE
(DESCRIPTIVE | PREDICTIVE | PRESCRIPTIVE)
Application ArchitectChief Architect
IT Manager
Windows
Linux Servers
z Systems
DATA CENTER
Capacity Management Analytics (CMA)
Z Software Middleware Stack
Capacity Management Domain Expert Modules
Systems
Management &
Optimization
Software Cost
Analysis
Capacity
Planning and
Forecasting
Problem
Identification
Application
Analytics
System
Administrator
Capacity Planner
CMA provides modular built-in expertise for the capacity management domain
that turns machine/infrastructure data to actionable insight.
9

11. Several significant new capabilities were announced with CMA v2.1
covered in Session #5068: .
CMA Platform
CMA Solution Kit Modules
Cognos BI
DB2
CPLEX
TDS for z/OS
Modeling &
Optimization
Systems
Management &
Optimization
Software Cost
Analysis
Capacity
Planning and
Forecasting
Problem
Identification
Application
Analytics
IBM DB2
Analytics
Accelerator
User
Defined
Extensible Report Templates
SPSS Model
Data Collection,
Scheduling & Automation
Reporting &
Visualization
SPSS
10

12. 11
CMA’s five modules of provide built-in expertise to enable progression of both
Capacity Management and Analytics Insight.
IT Analytics can be used to tap into the rich set of readily available
infrastructure data
coupled with
application metrics
…and with
business metrics
…to progress from
Descriptive
to Predictive
to Prescriptive INSIGHT & ACTION!
CapacityManagementMaturity
BUSINESS
(byIndustry)
C-Suite&IT
Managers
Personas
SERVICE:
Applications
Developers,
Application
Architects
COMPONENT:
Infrastructure
CapacityPlanners,
InfrastructureArchitects
DESCRIPTIVE PREDICTIVE PRESCRIPTIVE
Capacity Analytics Insight & Action
11

13. Question: Are you getting the most out of your
zIIP engines?
• System z Integrated Information Processor (zIIP)
& System z Application Assist Processor (zAAP)
• Specialty processors have lower hardware
acquisition costs and zIIP’s & zAAP’s don’t impact
software pricing based on capacity
IBM Capacity Management Analytics
Question: Are you getting the most out
of your mainframe?
• Prescriptive recommendation of LPAR
Policy
• Analyze whether utilization is over/under
your guaranteed share
• What-if analysis of different target
demand workload to make best use of
available capacity.
Systems
Management &
Optimization

14. Systems Management and Optimization
LPAR Weight Optimization Run Result
Systems
Management &
Optimization
13

15. Systems Management and Optimization
Over/Under Shared Weight – CPC by LPAR
Systems
Management &
Optimization
Determine available white space by comparing target “demand” workload against total workload.
14

16. IBM Capacity Management Analytics
Dynamically select your standard
formula for capacity planning or
compare between formulas to
find the one that best fits your
requirements.
CMA uses predictive analytics to help
organizations use their data to make better
decisions by drawing reliable, data-driven
conclusions based on past and current
events.
Future capacity requirements can be
forecasted to help ensure that
sufficient capacity is available when
the business needs it.
Capacity
Planning and
Forecasting
Question: Would I have enough capacity to handle my business growth in
the next three months?
15

17. Forecasting – SPSS Time Series Modelling
Capacity
Planning and
Forecasting
16

18. Answers cost questions
such as:
• How much MSU is consumed in
LPAR(s) and where is the billable
peak? Which products contribute to
the peak and by how much MSU?
• How much should be billed on the
whole z machine (CEC) for SCRT
cycles? or other date ranges?
• What is the total billable MSU and
cost for all z machines in an
enterprise?
 Better manage z/OS software costs
 Identify where and when workloads need to be adjusted
 Determine when additional capacity is required
Software Cost
Analysis
IBM Capacity Management Analytics
17

19. Software Cost Analysis – Three Scenarios
Optimized: Suggest alternative
LPAR / product configurations to
take advantage of white space
and reduce billable MSU where
possible.
Observed: Track product MSU usage
and costs at LPAR and Server level,
identifying peak intervals and tracking
4 hour rolling average (4HRA).
Forecasted: Predict future
MSU and cost usage based
on forward utilization
model.
Software Cost
Analysis
18

20. 4-part series on “Exploring Analytics to Enable the Business and
Service Value of Capacity Planning”
• Part 1 - Introduction to Analytics for Capacity Planning
– Published in the Computer Measurement Group Journal => CMG Journal Issue 134, Summer 2013
• Part 2 - Analytics and the Capacity Management Information System (CMIS)
– Published in => CMG Journal Issue 136, Spring 2014
• Part 3 - Analytics Techniques in Capacity Management: Forecasting and Modeling
– Published in => CMG Journal Issue 137, Winter 2015
• Part 4 – Visualization
Target for Spring or Summer 2016
Co-Author Acknowledgments
Ann Dowling, Senior Offering Manager – CMA, Analytics Solutions, IBM - adowling@us.ibm.com
Beth Rudden, STSM, Optimized Services, IBM - brudden@us.ibm.com
Clea Zolotow, Distinguished Engineer, Global Technology Services, IBM - zolo@us.ibm.com
Maris van Sprang, Analytics Architect, Global Business Services, IBM - m.vansprang@nl.ibm.com

21. IBM Capacity Management Analytics @ Interconnect 2016
IBM Capacity Management Analytics on turns machine data to actionable
insight and provides built‐in expertise in capacity management.
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Meet us at Interconnect 2016
NZS‐5068 : Introduction to Capacity Management Analytics
Session Type : Breakout Session
Date/Time : Mon, 22‐Feb, 04:30 PM‐05:30 PM
Venue : Mandalay Bay SOUTH
Room : Mandalay Ballroom B
-------------------------------------------------------------------------
NZS‐5063 : IT Operations Analytics = Bridging Business and IT
Session Type : Breakout Session
Date/Time : Thu, 25‐Feb, 10:30 AM‐11:15 AM
Venue : Mandalay Bay SOUTH
Room : Mandalay Ballroom B
‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐
NZS‐5807: Explore IT Analytics Use Cases with IBM Capacity Management
Analytics
Session Type: Scheduled LAB
Date/Time: Wed, 24‐Feb, 08:30 AM
Venue:
Room:
CMA: IBM’s ease-of-use analytics solution
• A workspace with greater power, intuitive navigation and cleaner look
• Pixel perfect reporting
• Advanced Filtering
• Seamlessly shift to more advanced analysis interaction
• Communicate your analysis using Microsoft Office
• Analytics on the go with Mobile devices and disconnected interaction
What’s new with IBM CMA V2.1?
• Application Analytics
• LPAR Weight Optimization
• Software Cost Analysis
• Anomaly Detection for CICS
• Dynamic Capacity Formulas
• System Management
• Capacity Planning and Forecasting
To learn more about IBM Capacity Management Analytics, visit us at:
http://www-03.ibm.com/software/products/en/capacity-management-analytics
20

22. www.analyticszone.com
CMA Contacts
Alvin Cho - acho@us.ibm.com
Ann Dowling - adowling@us.ibm.com
Anita g Jebaraj -ajebara@us.ibm.com
Hsin-wei Tsao - htsao@us.ibm.com
Jaime Anaya - janaya@us.ibm.com
Todd Evans - toddevan@us.ibm.com
CMA Technical Sales
NA Tech Sales
Analytic on z System Technical Sales Mgr
Ben DeVivo ‐ bdevivo@us.ibm.com
Client Technical Professional
Avard Hart ‐ avardh@us.ibm.com
Rajeev Kamath ‐ rvkamath@us.ibm.com
Milan Babiak ‐ Milan.Babiak@ca.ibm.com
Technical Sales Specialists
Norman Hollander – znorman@us.ibm.com
Dennis Moore – admoore@us.ibm.com
NA Technical Solution Architects
Technical Solution Architect, Business Analytics
Michael Schapira ‐ michael.schapira@us.ibm.com
UKI:
Melanie Chilvers ‐ Melanie.Chilvers@uk.ibm.com
Jurgen Hoogerboord ‐ jurgen.hoogerboord@uk.ibm.com
Michael Lowe ‐ michael.lowe@uk.ibm.com
Germany:
Patrick Unger ‐ patrick.unger@de.ibm.com
Spain:
Santiago Cantero Fernandez ‐ santi.cantero@es.ibm.com
LATAM
Analytic on z System Technical Sales Mgr
Aroldo Y Yai ‐ aroldo@br.ibm.com
Client Technical Professional
Anderson da Silva Sforcini ‐ andersonss@br.ibm.com
Carolina Leonor Golia ‐ cgolia@ar.ibm.com
Fernando Arellano ‐ farellano@mx1.ibm.com
21

23. 22
ITOA Sessions
Session
number Title Speakers
3957 Batch Job / Scheduling Analytics using IOAz
Sundaraveul Shanmugam, IBM
Albee Jhoney, IBM
4440 A Look Into How IBM zAware Improves Availability
Chris Brooker, IBM
Anuja Deedwaniya, IBM
4463 IBM zAware Client Experience
Chris Brooker, IBM
Anuja Deedwaniya, IBM
4532 Bringing Real-time SMF Data to Life with ITOA for z Systems Alan Place, IBM & Barry Klutz, IBM
4561 IBM Operations Analytics for z Systems Client Experience Barry Klutz, IBM
5063 IT Operations Analytics = Bridging Business and IT Ann Dowling, IBM
5068 Introduction to Capacity Management Analytics Ann Dowling, IBM

24. 23
Customer Feedback Roundtables
• 6318 Common IT Operations Analytics Platform
– In this roundtable session we will discuss the current state and the roadmap of IBM IT Operations Analytics platform. Are you putting IT
Ops Analytics to work for you, allowing your staff to work faster and smarter and manage your environment better? Discuss how the must-
have IT Ops Analytics tools will save you money and enhance your credibility (as regards SLAs) by cutting the mean time to repair
significantly. We'll discuss how to look at your data through Insight Packs while permitting machine intelligence to assist in facilitating your
environment.
• 6319 Roundtable: IBM System z, built for cloud
– In this roundtable, we will discuss how your needs are changing as pressure to adopt cloud service models increase. The
focus will include, how to offer traditional System z services in a platform as a service, or software as a service model. How to
enable end users to request resources in a self-service manner. What options are available to enable z/OS resources to
participate in a hybrid cloud application. Provide feedback on what cloud scenarios for IBM System z are being considered in
your organization, and what challenges exist that could be removed to make this transition less difficult.
• 6326 z Software Monitoring/Automation Futures
– In this roundtable, we will discuss your needs in the Service Management Suite for z/OS that includes comprehensive
OMEGAMON monitoring and System Automation for z/OS capabilities. The focus will include IBM Service Management
Unite, the suite's new web user interface that integrates performance monitoring, automation and log analysis, simplifying
problem identification, problem isolation and service restoration. We want to hear your opinions about how Unite should be
enhanced in the future. What kind of workloads need to be managed? Are there essential functions you need to lower your
operational risk or manage IT costs? How should z Systems strategies such as mobile, DevOps, cloud or API management
be factoring into our solution?

25. Thank You
Your Feedback is Important!
Access the InterConnect 2016 Conference Attendee
Portal to complete your session surveys from your
smartphone,
laptop or conference kiosk.