These slides - based on the webinar featuring Dennis Drogseth, VP of research at leading IT analyst firm Enterprise Management Associates (EMA), and Sasha Gilenson, founder and CEO at Evolven Software - examine how “tiered” or “blended” sources can bring fast time to value across performance management, change management and other use cases. These slides cover: - Why, and in what contexts, do IT organizations need to change to become more effective and valued? - What is tiered or blended analytics, and how can it come to the rescue? - How is blended analytics different from more traditional big data approaches?

1. How Blended Analytics Can
Transform IT Efficiency and Value
March 8, 2016
Dennis Drogseth
VP of Research
EMA
http://www.enterprisemanagement.com
@dndrogseth
Sasha Gilenson
Founder & CEO
Evolven Software
http://www.evolven.com
@sgilenson

2. Featured Speakers
Dennis Drogseth, VP of Research, EMA
Dennis brings over 30 years of experience in various aspects of
marketing and business planning for service management
solutions. He supports EMA through leadership in Business Service
Management (BSM), CMDB Systems, automation systems and
service-centric financial optimization.
Sasha Gilenson, Founder and CEO, Evolven Software
Sasha is a recognized IT Operation Analytics (ITOA) thought
leader. Prior to founding Evolven, Sasha was Mercury's (now HP)
top "guru" in quality processes and IT practices, has advised
numerous Fortune 500 companies on technology and process
optimization.
Slide 2 © 2015 Enterprise Management Associates, Inc.

3. Logistics for Today’s Webinar
Slide 3 © 2015 Enterprise Management Associates, Inc.
An archived version of the event recording will be
available at www.enterprisemanagement.com
• Log questions in the Q&A panel located on the
lower right corner of your screen
• Questions will be addressed during the Q&A
session of the event
Questions
Event recording
Event Presentation
A PDF of the PowerPoint
presentation will be emailed to you tomorrow.

4. How Blended Analytics Can
Transform IT Efficiency and Value
March 8, 2016
Dennis Drogseth
VP of Research
EMA
http://www.enterprisemanagement.com
@dndrogseth

5. Agenda
• IT’s struggle to change
• What is blended (or tiered) analytics, and how can it come to the
rescue?
• How is blended analytics different from tradiational big data?
• How does it work with monitoring and other toolset investments?
• How does it bring service modeling and analytics together?
• Why change and performance management belong together
• Impacts of Blended Analytics– in one particular deployment
• Summary/ Conclustion
Slide 5 © 2015 Enterprise Management Associates, Inc.

6. IT’s Struggle to Change
Slide 6 © 2015 Enterprise Management Associates, Inc.

7. How and Why IT Needs to Change to Become More
Effective and Valued?
• Reactive versus proactive
• Still fragmented in technical and political silos
• Toolset fragmentation
• A failure of communication
• Narrowly defined technical priorities versus business priorities
• A changing consumer population
• More dynamic business requirements
• And yet IT services are more potentially relevant and transformative
than ever!
Slide 7 © 2015 Enterprise Management Associates, Inc.

8. Stress Factors/Catalysts:
Where IT Organizations Have to Change
• Cloud A – IT as a “broker of services”
• Cloud B – IT as its own extended enterprise with new dimensions
for resource optimization
• Agile – IT ups the speed in business responsiveness
• “The Consumerization of IT”
• A new, more savvy, IT service consumer
• The acronymic wall isolating “back-office IT” must crumble
• IT as a “Retail Organization”
• IT as a true business partner
Slide 8 © 2015 Enterprise Management Associates, Inc.

9. An
integrated
team combining
IT service
management
and
operations:
The “New War Room” Goes Beyond Silos
• Versatile dialog between ITSM and operations
insights
• Upward visibility to the IT executive suite and
business stakeholders when relevant
• Integrated operations: workflows +
analytics+ user experience
• Integrated DevOps: workflows +
feedback loops+ service modeling
• Attention to change management
and service impact: analytics,
automation, CMDB/CMS/ADDM
• Optimizing the cloud opportunity
Slide 9 © 2015 Enterprise Management Associates, Inc.

10. What is Blended Analytics?
Slide 10 © 2015 Enterprise Management Associates, Inc.

11. What is Blended Analytics—and How is it Part of the
Solution?
• Blended analytics is optimized for real-time
and sometimes predictive requirements.
But also includes advanced historical
trending capabilities.
• It differs from classic warehousing in its
focus on near-real-time data, discovery
and data collection, service modeling and
distinctive use of trusted sources.
• Blended analytics can scale well because
of its “tiered” or “blended” capabilities to
leverage other analytic resources as input.
• Blended analytics is uniquely suited to
combining change management with
performance, security, capacity
optimization and improved IT efficiencies.
Slide 11 © 2015 Enterprise Management Associates, Inc.

12. Blended Analytics and Advanced IT Analytics
• Blended Analytics is at the heart of EMA’s look at the industry’s
broader Advanced IT Analytics (AIA) marketplace.
• Blended Analytics’ tiered approach to data collection makes it
versatile, adatable multiple types of data sources to optimze
existing investments.
• Blended Analytics’ solid capabilities in assimilating service
interdependencies for “context” also puts it in the forefront of AIA.
• Other AIA adoptions include:
• Data lake approaches focused on searching data (homegrown, or third-
party, or mixed)
• More limited tools in terms of data collection with predictive insights
• Event-only solutions with broad/eclectic foundations
• Time-series-only optimized solutions
Slide 12 © 2015 Enterprise Management Associates, Inc.

13. Top 7 Analytics Technical Triage and Diagnostic Priorities
1. Cross-domain problem isolation across the application
infrastructure
2. Security-related issues (SIEM)
3. Isolate infrastructure issues within the network
4. Triage across virtualized systems
5. Triage across application tiers/and or middleware
6. Isolate problems in provisioning applications
7. Isolate infrastructure issues internal to systems
Slide 13 © 2015 Enterprise Management Associates, Inc.

14. Blended Analytics versus Classic Big Data
• Speed in data collection – versus classic ETL
• Speed in analysis – real time or near
• Context = increased relevance in sourcing
• Context = interdependencies in discovery
• Flexibility = federated trusted sources versus one single melting
pot – “tiered” or “blended” analytics
• Custom turnaround from “months to days,” “hours to minutes”
Slide 14 © 2015 Enterprise Management Associates, Inc.

15. What Should You Be Looking for in
an Advanced Analytics Solution?
• Service-centric or cross-domain analytics versus siloed analytics
• Assimilative power for both “symptoms” and “context”
• Breadth of constituency (stakeholder) support
• Realized versus just potential value
• Virtualization and cloud (resource) and (environment)
• Quick time to value
• Minimal administrative overhead
• Advanced analytics transcends classic monitoring and classic
configuration or change management
Slide 15 © 2015 Enterprise Management Associates, Inc.

16. Three Role Perspectives on Analytic Priorities
• Application management:
 Prioritizes application optimization, problem isolation in systems, business
events and time series data, app performance, event management and
operational dashboard integrations, ADDM for performance
• Change and configuration management:
 Prioritizes configuration and change management effectiveness, isolating
problems in provisioning applications, if/then change impact, capacity
planning, CMDB/CMS /ADDM linkages, are ‘extremely successful’
• Software development:
 Prioritizes systems availability and performance, if/then change impact, log
files, integrations with dev/ops tools, ADDM for performance
Slide 16 © 2015 Enterprise Management Associates, Inc.

17. 7 Top Analytics Achieved Benefits
1. Faster time to resolve problems and incident prevention
2. Better optimization of IT assets overall
3. Gain real-time insights and historical trends on IT services
4. Better correlation between change and performance
5. More efficient use of infrastructure capacity
6. Faster identification of security threats
7. Less overhead in writing and maintaining rules and thresholds
Slide 17 © 2015 Enterprise Management Associates, Inc.

18. Advanced Analytics and DevOps
Slide 18 © 2015 Enterprise Management Associates, Inc.
What are your org's Dev/Ops priorities for advanced analytics?
Sample Size = 163, Valid Cases = 163

19. Why Change and Performance
Management Have Become
Inseparable
Slide 19 © 2015 Enterprise Management Associates, Inc.

20. Role (skills)-related Analytics Priorities:
Change and Configuration Management
• Prioritizes configuration and change
management effectiveness,
• Isolating problems in provisioning
applications,
• If/then change impact
• Capacity planning,
• CMDB/CMS /ADDM linkages, are
“extremely successful”
Slide 20 © 2015 Enterprise Management Associates, Inc.
Change
and
configuration
management:

21. Capturing Interdependencies and Blended
Analytics
Slide 21 © 2015 Enterprise Management Associates, Inc.
What interdependencies does your organization view as
critical for its advanced analytics investments?
Sample Size = 252, Valid Cases = 252

22. Service Modeling and Blended Analytics
• Top priorities for linking service modeling to advanced analytics are:
• Service modeling topology included within the analytics solution
• Application Discovery and Dependency Mapping for performance
• Application Discovery and Dependency Mapping for change
• Federated Configuration Management System
• Service Modeling Dashboard for Business Impact
• Only 3% had no intention to link analytics with service modeling
Slide 22 © 2015 Enterprise Management Associates, Inc.

23. Impacts of Blended Analytics in One
Particular Deployment
Slide 23 © 2015 Enterprise Management Associates, Inc.

24. Context and Challenge
• Context and Challenge: A large financial services organization
• Spans 14 countries
• 9,000 staff
• Owner—product owner for IT service management and the
configuration management system (CMS)
• Target---performance and DevOps
• History
• Began with ITIL incident, problem, change and configuration
management. Supported help desk
• Moved away from portions of ITIL v3 framework for a more agile and
automated approach (continuous development/continuous integration)
or CD/CI
Slide 24 © 2015 Enterprise Management Associates, Inc.

25. Directions in Blended Analytics
• “We started automating event management—targeting user
interfaces for critical business applications (e.g. Internet banking).”
• “Using blended analytics we are bringing automation and analytics
much more closely into the CMS fabric with a distributed
framework.”
• “We leverage blended analytics to keep a more dynamic record and
facilitate automation that’s critical for performance and change
management and our DevOps initiative.”
• “Now we have an analytically rich capability that complements our
need for currency in understanding actual changes and how they
impact application performance.”
Slide 25 © 2015 Enterprise Management Associates, Inc.

26. Current Victories
• “With the advent of a more automated and anlaytically aware
environment, we have been able to reduce our core CMDB
administration considerably.”
• “It used to take 11 weeks to provision a VM, and now it takes
eight minutes.”
• “We also have a much cleaner set of change verification
histories—we’re not dealing with unknowns.”
• “This has helped DevOps and development see the impacts of
what they plan for their manifests to go into production.”
• “Taking this approach, we have seen double-digit percentile cost-
efficiency improvements over a one to two year period of time,
while our time-to-market has drastically decreased.”
Slide 26 © 2015 Enterprise Management Associates, Inc.

27. Conclusion: Summary and
Predictions
Slide 27 © 2015 Enterprise Management Associates, Inc.

28. Summary
• IT organizations have to move to support more dynamic, cross-
domain requirements given the pressures of cloud, agile and digital
transformation.
• Blended analytics can come to the rescue by optimziing existing
monitoring, configuration and other management investments while
showing quick tim to value.
• Change management, service modeling, and blended go hand-in-
hand and the combination in EMA research often separates
winners from losers.
• In one example, EMA dialog showed dramatic values in reducing
administrative overhead, acclereated provisioning, support for
DevOps/agile, and double-digit cost-efficiency improvements.
Slide 28 © 2015 Enterprise Management Associates, Inc.

29. Predictions for Advanced Analytics
• A growing number of vendors will create analytic offerings with
differing architectures and distinctive value-feature focus.
• There will be a greater interest in service modeling integrations with
analytic investments—including ADDM, and CMDB/CMS.
• Blended analytics in particular will increasingly become a stimulus
for process awareness and cross-domain process training.
• Blended analytics will also promote more meaningfully integrated
cross-domain relationships, including operations-to-service desk,
development-to-IT, security-to-operations-and-development, and
IT-to-business.
Slide 29 © 2015 Enterprise Management Associates, Inc.

30. Sasha Gilenson
Founder & CEO
Blended
Analytics
Transforming IT Efficiency and Value

31. 31 | Evolven Proprietary & Confidential
EVOLVEN – AN ITOA LEADER
TRUSTED BY LEADERS STRONG ANALYST SUPPORT
Transforms IT Efficiency
and Value
Dennis Drogseth
VP Research
Will Cappelli, Research VP
Ronni Colville, VP Dist. Analyst
The only vendor to marry IT
Operations Analytics to CCM.
INDUSTRY RECOGNITION

32. 32 | Evolven Proprietary & Confidential
What Changed?
Knowledge
Base
Risk
Dimensions
Anomaly
Detection
Machine
Learning
Root-cause
Risk Prediction
Symptoms
Changes
IT Context
All
Relevant
Data
Sources
Powerful Analytics
Change Centric
Less issues
Faster
resolution
More
efficiency
2
1
3
4
EVOLVEN BLENDED ANALYTICS

33. 33 | Evolven Proprietary & Confidential
CHANGES – THE SECRET INGREDIENT

34. 34 | Evolven Proprietary & Confidential
CHANGE CENTRIC CAUSAL ANALYSIS
Time
Risk
Fix
RCA
Incident
Change
Incident
resolved
Alert

35. 35 | Evolven Proprietary & Confidential
DON’T WAIT FOR INCIDENTS TO HAPPEN,
PREVENT THEM
Time
Risk
Fix
RCA
Incident
resolved
Evolven tracks and analyzes changes
as they happen to prevent incidents
(instead of waiting for symptoms alert
to show)
Incident
Prevented
Fix
Analysis
Risk
detected
Incident
Alert
Change

36. 36 | Evolven Proprietary & Confidential
LEVERAGE EARLY DETECTION OF THE TRUE
ROOT CAUSE TO SLASH RCA TIME
Time
Risk
Fix
RCA
Incident
resolved
Evolven tracks,
correlates and
analyzes changes
to slash RCA time
Change
detected Alert
Incident
Change correlated
and risk analyzed
Incident
Resolved
Fix
Change

37. 37 | Evolven Proprietary & Confidential
EVERY CHANGE COUNTS
2 The Entire Environment
Applications, underlying software infrastructure, virtual and physical
infrastructure stack
All Change Types
Configuration, Capacity, Data, Workload, Code
1
3
4
Evolven – the only vendor to collect, correlate and analyze all
changes, end-to-end, at most granular level
Most Granular Level
Down to individual parameter values, database schema elements,
application master data values etc.
Near Real-Time

38. 38 | Evolven Proprietary & Confidential
POWERFUL ANALYTICS
Data Cleansing
and Correlation
• Reduce noise - Eliminate irrelevant, low
significance data
• Cluster similar events and KPIs for more
accurate and efficient analysis
• Normalize data from each data source to
allow correlation
• Correlate data within and between multiple
data sources
Analytics Engine
• Calculate risk scores for each change
dimension and blended data sources
• Machine Learning based anomaly
detection
• Leverage OOB and custom knowledge
base and SME input to fine tune analysis
Consistency: Inconsistent with
similar systems
Policy: Not compliant
with expected policy
Host Type: Happened in
production environment
Time Anomaly: Typically
overnight changes happened
at noon
Loneliness: Change
happened outside of most
change clusters

39. 39 | Evolven Proprietary & Confidential
KEY USE CASES
DevOps
Analytics
50%
cut in MTTR
25%
faster, error-free
releases
35%
drop in number
of incidents
• Know what changed
• Automatically correlate symptoms, IT context and changes
• Analyze risk to zoom-in on true root cause
• Validate the infrastructure readiness
• Know what released
• Early detection of post release stability issues
• Identify high risk changes early on
• Detect anomaly or recognize pattern
• Validate environment consistency (prod vs DR; new server
vs golden baseline; across cluster )
Accelerate
Troubleshooting
Prevent
Incidents
Automated
Audit
75%
less manual
effort
• End-to-end audit-trail of changes
• Automatic detection of unauthorized changes
• Alerting on high risk changes

40. 40 | Evolven Proprietary & Confidential
Demo

41. 41 | Evolven Proprietary & Confidential
Appendix

42. 42 | Evolven Proprietary & Confidential
Symptoms
Changes
IT Context
APM
Log
Service Desk
Deployment
CMDB
Config. | Capacity | Data | Code | Workload
BSM
UCMDB
* Can’t find your IT operations tool? No problem. Evolven easily integrates with 3rd party tools.
BLENDED DATA FEEDS

43. 43 | Evolven Proprietary & Confidential
Windows HP-UX
SUPPORTED TECHNOLOGIES
IBM AIX
Oracle Solaris
Linux CentOS
Linux Red Hat
Linux Red Hat
Fedora
Linux SUSE
Operating Systems
Wizard-based custom application support
New application support in minutes
Custom Applications
HTTP Servers
Apache Microsoft IIS IBM HTTP Server
Active Directory
Microsoft Active
DirectoryOpen LDAP
Sun Java System
Directory
Others
Documentum SharePointTibco BPM
Apache TomcatIBM WebSphere JBoss
Pivotal-tc
JettyOracle WebLogic webMethods
Application Servers
Oracle
DB2MySQL
Sybase
Microsoft
SQLServer
Databases
Windows Components
Microsoft
COM/DCOM .NET FrameworkWindows Cluster
Virtualization
VMWare vCenterCitrix XenApp
Microsoft Terminal
Server
IBM WebSphere
Message Broker
IBM WebSphere
MQ
Oracle Tuxedo
IBM WebSphere
ICS
Microsoft Exchange
Messaging
Apache MQ

44. 44 | Evolven Proprietary & Confidential
BOOST THE POWER OF EXISTING TOOLS
WITH EVOLVEN IT OPERATIONS ANALYTICS
BSM Dashboard
CMDB
Automation
Service Desk
Cloud
Management
EVOLVEN
• High Risk Changes
• High Risk Diffs
• Alerts
• Correlate Symptoms
With Changes in States
• Verify Infra Readiness
• Validate Changes
• Monitor Change Life-Cycle
• Use Service Maps
• In-depth CI Config
• Refresh Data
• Map Detailed Actual Changes
To CRs
• Detect Unauthorized Changes
• Investigate Incidents
• Consolidate Stack View
• Correlate Changes/Diffs
• Prioritize w/Analytics
ITOA
APM | Log

45. 45 | Evolven Proprietary & Confidential
DELIVERING TANGIBLE RESULTS
40%
decrease in incidents
6 months ROI
“
“Use of Evolven to ensure time-to-
market and stability of a major
application paid for the product in 6
months”.
“"Thanks to Evolven, what took weeks
now takes hours or less."
A Top 10
Banking Group

46. Learn More About Enterprise Management Associates
Keep up to date on upcoming webinars and get free research!
http://www.enterprisemanagement.com/freeResearch

47. Learn More About Enterprise Management Associates
Slide 47 © 2015 Enterprise Management Associates, Inc.
Keep up to date on upcoming webinars and get free research!
http://www.enterprisemanagement.com/freeResearch