Weitere ähnliche Inhalte Ähnlich wie The Shifting Role of Workload Automation (20) Mehr von Enterprise Management Associates (20) Kürzlich hochgeladen (20) The Shifting Role of Workload Automation1. IT & DATA MANAGEMENT RESEARCH,
INDUSTRY ANALYSIS & CONSULTING
IT & DATA MANAGEMENT RESEARCH,
INDUSTRY ANALYSIS & CONSULTING
THE SHIFTING ROLE OF WORKLOAD AUTOMATION:
A FOUNDATION FOR MICROSERVICES AND DIGITAL TRANSFORMATION
Research Review Webinar
Q3 2018
Dan Twing
President & COO
EMA
2. IT & DATA MANAGEMENT RESEARCH,
INDUSTRY ANALYSIS & CONSULTING
Watch the On-Demand Webinar
Slide 2 © 2018 Enterprise Management Associates, Inc.
• The Shifting Role of Workload Automation on-demand webinar
is available here: https://ema.wistia.com/medias/u39nbde4b2
• Check out upcoming webinars from EMA here:
http://www.enterprisemanagement.com/freeResearch
3. IT & DATA MANAGEMENT RESEARCH,
INDUSTRY ANALYSIS & CONSULTING
IT & DATA MANAGEMENT RESEARCH,
INDUSTRY ANALYSIS & CONSULTING
Today’s Speaker
Dan Twing
President and COO
Enterprise Management Associates
As President and Chief Operating Officer of Enterprise
Management Associates, Dan is responsible for
developing and executing strategic market research,
delivering value to IT organizations through consulting
engagements, and directing product developments and
marketing efforts. Dan joined EMA in 2005 and has over 30
years of experience in information systems, software
development, and technology outsourcing. Dan focuses on
all aspects of intelligent and automated management of IT.
4. IT & DATA MANAGEMENT RESEARCH,
INDUSTRY ANALYSIS & CONSULTING
IT & DATA MANAGEMENT RESEARCH,
INDUSTRY ANALYSIS & CONSULTING
An archived version of the event recording will be
available at www.enterprisemanagement.com
• Log questions in the chat panel located on the
lower left-hand corner of your screen
• Questions will be addressed during the Q&A
session of the event
QUESTIONS
EVENT RECORDING
Logistics for Today’s Webinar
5. IT & DATA MANAGEMENT RESEARCH,
INDUSTRY ANALYSIS & CONSULTING
IT & DATA MANAGEMENT RESEARCH,
INDUSTRY ANALYSIS & CONSULTING
THE SHIFTING ROLE OF WORKLOAD AUTOMATION:
A FOUNDATION FOR MICROSERVICES AND DIGITAL TRANSFORMATION
Research Review Webinar
Q3 2018
Dan Twing
President & COO
EMA
6. IT & DATA MANAGEMENT RESEARCH,
INDUSTRY ANALYSIS & CONSULTING
IT & DATA MANAGEMENT RESEARCH,
INDUSTRY ANALYSIS & CONSULTING
Sponsors
7. IT & DATA MANAGEMENT RESEARCH,
INDUSTRY ANALYSIS & CONSULTING
IT & DATA MANAGEMENT RESEARCH,
INDUSTRY ANALYSIS & CONSULTING
Methodology and Demographics
8. IT & DATA MANAGEMENT RESEARCH,
INDUSTRY ANALYSIS & CONSULTING
IT & DATA MANAGEMENT RESEARCH,
INDUSTRY ANALYSIS & CONSULTING
Demographics: Total Respondents and Regions Surveyed
Slide 8 © 2018 Enterprise Management Associates, Inc.
North
America
51%
Europe
49%
2018 Regions Surveyed
15%
0%
15%
15%
56%
14%
11%
12%
13%
50%
0% 10% 20% 30% 40% 50% 60%
UK
Poland
Germany
France
US
Countries Surveyed
2018 vs 2016
2018 2016
2013
174
2016
228
2018
427
0 100 200 300 400 500
Total Respondents
By Year
28%
27%
26%
6%
7%
5%
0% 10% 20% 30%
IT Operations Individual Performers
IT Managers/Directors
IT Execs
Business Execs
Business Director/Manager
Business Staff
Job Categories
9. IT & DATA MANAGEMENT RESEARCH,
INDUSTRY ANALYSIS & CONSULTING
IT & DATA MANAGEMENT RESEARCH,
INDUSTRY ANALYSIS & CONSULTING
Demographics: Companies Included
Slide 9 © 2018 Enterprise Management Associates, Inc.
0% 10% 20% 30% 40%
500 - 999
1,000 - 2,499
2,500 - 4,999
5,000 - 9,999
10,000 - 19,999
20,000 or more
Number of Employees
2018 2016 2013
16%
13%
13%
10%
10%
7%
7%
4%
3%
3%
3%
2%
2%
2%
5%
0% 5% 10% 15% 20%
High Technology
Finance/Banking/Insurance
Consulting and Professional Services
Retail/Wholesale/Distribution
Manufacturing
Healthcare/Medical/Pharmaceutical
Internet/Application Service Provider
Telecommunications
Education
Government
Transportation/Airlines/Trucking/Rail
Aerospace/Defense
Oil/Gas/Chemicals
Utilities/Energy
Other
Industries
10. IT & DATA MANAGEMENT RESEARCH,
INDUSTRY ANALYSIS & CONSULTINGSlide 10 © 2018 Enterprise Management Associates, Inc.
Demographics: Individuals Included
28%
21%
14%
10%
10%
10%
7%
36%
25%
7%
12%
11%
7%
3%
36%
19%
15%
9%
13%
8%
0% 5% 10% 15% 20% 25% 30% 35% 40%
Technical decision maker for WLA
technologies
Financial decision maker for WLA
projects
Recommend and specify WLA
products/services
Evaluate WLA-related products/services
System designer using WLA with larger
solutions
Technical user/operator of WLA-related
products
User of dashboards for business
applications
Role with WLA
2018 2016 2013
57%
52%
47%
45%
45%
43%
43%
43%
42%
41%
41%
37%
0% 20% 40% 60%
Monitor workload performance
Define WLA job rights and security
Handle WLA related SLAs
Handle change management for job workflows
Use dashboards to monitor my business apps
Gather job and workflow requirements
Document job workflows
Produce audit or SLA reports for job workflows
Root cause analysis for job workflow
Patch and upgrade WLA software
Design new jobs and job workflows
Install adapters to connect to other applications
Job Functions with WLA
11. IT & DATA MANAGEMENT RESEARCH,
INDUSTRY ANALYSIS & CONSULTING
IT & DATA MANAGEMENT RESEARCH,
INDUSTRY ANALYSIS & CONSULTING
State of Automation
12. IT & DATA MANAGEMENT RESEARCH,
INDUSTRY ANALYSIS & CONSULTING
IT Operations is the most automated
Application Release and Onboarding are least automated
Slide 12 © 2018 Enterprise Management Associates, Inc.
Which of the following tasks have you automated?
Sample Size = 427, Valid Cases = 427, Total Mentions = 1,844
64%
54%
48%
47%
44%
43%
41%
32%
30%
29%
0% 10% 20% 30% 40% 50% 60% 70%
IT Operations
Big Data Analytics
Data Center
Business Processes
Data Warehouse/ETL
Infrastructure Configuration
Managed File Transfer
DevOps
Application Release
Onboarding new employees
4.07
Our need for automation is growing rapidly
Mean
Agreement
5 – Strongly Agree
4.05
Our use of automation is growing rapidly
Mean
Agreement
5 – Strongly Agree
13. IT & DATA MANAGEMENT RESEARCH,
INDUSTRY ANALYSIS & CONSULTINGSlide 13 © 2018 Enterprise Management Associates, Inc.
44%
50%
42%
49%
38%
44% 42%
46% 44% 46%
27% 27%
32%
27% 29%
24%
29%
22%
26% 27%
13%
10% 12% 12% 13% 14%
11% 13% 14%
10%12%
7% 8% 8%
12% 10% 12% 11%
8% 8%
0%
10%
20%
30%
40%
50%
60%
Type of Automation by Function
WLA Process Specific RPA Scripting
Sample Size = 427, Valid Cases = 427, Total Mentions = 1,844
Workload Automation is the most used form of automation
Average
45%
Average
27%
Average
12%
Average
10%
14. IT & DATA MANAGEMENT RESEARCH,
INDUSTRY ANALYSIS & CONSULTING
IT & DATA MANAGEMENT RESEARCH,
INDUSTRY ANALYSIS & CONSULTING
Automation as a Strategy
Slide 14 © 2018 Enterprise Management Associates, Inc.
Yes
61%
Yes, via an
Automatio
n Center
of
Excellence
26%
No
13%
Does your organization have a
centralized automation strategy?
4.11
Automation is viewed as a strategy in
my organization
Mean
Agreement
5 – Strongly Agree
15. IT & DATA MANAGEMENT RESEARCH,
INDUSTRY ANALYSIS & CONSULTING
IT & DATA MANAGEMENT RESEARCH,
INDUSTRY ANALYSIS & CONSULTING
Slide 15 © 2018 Enterprise Management Associates, Inc.
How do you think the person you report to feels about the value of WLA
solutions in your organization?
11%
19%
54%
14%
3%
0%
10%
20%
30%
40%
50%
60%
WLA is a key
aspect of our
digital
transformation
strategy
WLA is a key
aspect of our
automation
strategy
WLA is a key
aspect of our
IT operations
WLA is a
necessary tool
of minimal
strategic value
My boss never
asks about
WLA
11%
17%
57%
13%
1%
12%
27%
33%
18%
10%
0%
10%
20%
30%
40%
50%
60%
WLA is a key
aspect of our
digital
transformation
strategy
WLA is a key
aspect of our
automation
strategy
WLA is a key
aspect of our IT
operations
WLA is a
necessary tool
of minimal
strategic value
My boss never
asks about
WLA
IT LOB
16. IT & DATA MANAGEMENT RESEARCH,
INDUSTRY ANALYSIS & CONSULTING
92% running in public cloud used a
marketplace to acquire their WLA license
Slide 16 © 2018 Enterprise Management Associates, Inc.
13%
17%
39%
26%
4%
10%
30%30%
13%
17%
14%
43%
29%
14%
0%
5%
17%
59%
18%
2%
15%
19%
51%
14%
2%
14%
16%
61%
7%
1%
0%
10%
20%
30%
40%
50%
60%
70%
WLA is a key aspect of
our digital
transformation strategy
WLA is a key aspect of
our automation strategy
WLA is a key aspect of
our IT operations
WLA is a necessary
tool of minimal strategic
value
My boss never asks
about WLA
How do you think the person you report to feels about the value of
WLA solutions in your organization? By Job Group
Business Individual Business Manager/Director Business Exec
IT Individual IT Manager/Director IT Exec
Sample Size = 407
17. IT & DATA MANAGEMENT RESEARCH,
INDUSTRY ANALYSIS & CONSULTING
92% running in public cloud used a
marketplace to acquire their WLA license
Slide 17 © 2018 Enterprise Management Associates, Inc.
13%
17%
39%
26%
4%
10%
30%30%
13%
17%
14%
43%
29%
14%
0%
5%
17%
59%
18%
2%
15%
19%
51%
14%
2%
14%
16%
61%
7%
1%
0%
10%
20%
30%
40%
50%
60%
70%
WLA is a key aspect of
our digital
transformation strategy
WLA is a key aspect of
our automation strategy
WLA is a key aspect of
our IT operations
WLA is a necessary
tool of minimal strategic
value
My boss never asks
about WLA
How do you think the person you report to feels about the value of
WLA solutions in your organization? By Job Group
Business Individual Business Manager/Director Business Exec
IT Individual IT Manager/Director IT Exec
Sample Size = 407
Narrow View Traditional Enlightened
18. IT & DATA MANAGEMENT RESEARCH,
INDUSTRY ANALYSIS & CONSULTING
IT & DATA MANAGEMENT RESEARCH,
INDUSTRY ANALYSIS & CONSULTING18 © 2018 Enterprise Management Associates, Inc.
30%
40%
57%
22%
34%
30%
39%
30%29%
59%
51%
61%
30%30%
14%
20%
16%
8%
0%
10%
20%
30%
40%
50%
60%
70%
Business IndividualBusiness
Manager/Director
Business ExecIT IndividualIT Manager/DirectorIT Exec
Enlightened Traditional Narrow View
View of WLA by Job Title
19. IT & DATA MANAGEMENT RESEARCH,
INDUSTRY ANALYSIS & CONSULTING
IT & DATA MANAGEMENT RESEARCH,
INDUSTRY ANALYSIS & CONSULTING19 © 2018 Enterprise Management Associates, Inc.
3.39
3.48
3.87
3.10
3.20
3.30
3.40
3.50
3.60
3.70
3.80
3.90
4.00
Enlightened Traditionalists Narrow View
Mean Agreement
Strongly Agree=5
3.54
Mean
Agreement
5 – Strongly Agree
Our organization has too many scheduling and automation
tools in place
20. IT & DATA MANAGEMENT RESEARCH,
INDUSTRY ANALYSIS & CONSULTING
IT & DATA MANAGEMENT RESEARCH,
INDUSTRY ANALYSIS & CONSULTING
Number of WLA Products In Use
Slide 20 © 2018 Enterprise Management Associates, Inc.
40%
23%
15%
22%
0%
5%
10%
15%
20%
25%
30%
35%
40%
45%
1 2 3 4+
Number of WLA Products In Use
Sample Size = 427
21. IT & DATA MANAGEMENT RESEARCH,
INDUSTRY ANALYSIS & CONSULTING
The most common reason for running more than one WLA
Product is different groups using different tools
Slide 21 © 2018 Enterprise Management Associates, Inc.
You selected more than one WLA product. Why are you using multiple WLA products?
Sample Size = 255, Valid Cases = 255, Total Mentions = 713
40%
37%
36%
35%
35%
32%
26%
0% 5% 10% 15% 20% 25% 30% 35% 40% 45%
Different groups require different
scheduling tools
Legacy systems
Knowledge gap between different WLA
solutions
Functionality limitations
In the middle of converting from one to
another
Integration limitations
Migrations consume too many resources
22. IT & DATA MANAGEMENT RESEARCH,
INDUSTRY ANALYSIS & CONSULTING
IT & DATA MANAGEMENT RESEARCH,
INDUSTRY ANALYSIS & CONSULTING
WLA Complexities / Pain Points
23. IT & DATA MANAGEMENT RESEARCH,
INDUSTRY ANALYSIS & CONSULTING
IT & DATA MANAGEMENT RESEARCH,
INDUSTRY ANALYSIS & CONSULTING
What is Making WLA More Complex
Slide 23 © 2018 Enterprise Management Associates, Inc.
26%
33%
35%
41%
43%
67%
23%
28%
27%
39%
45%
32%
30%
50%
17%
18%
19%
20%
22%
23%
24%
24%
24%
25%
25%
26%
27%
40%
0% 10% 20% 30% 40% 50% 60% 70% 80%
Rogue schedulers introduced through business applications
Limited scalability of the WLA tool
Self-service provisioning of app env by business
DevOps scheduling requirements
Self-service provisioning of jobs by developers
Tighter SLA requirements
Supporting cloud-based applications
Application integration limitations
Permissions, auditing, and reporting for reg req
Deployment of big data applications
Digital transformation projects
Maintenance of scripts
Container deployment
IT projects initiated by business units
2018 2016 2013
Sample Size = 2018 = 427, 2016 = 228, 2013 = 174
Which of the following demands recently made the management of job scheduling more
complex?
Note: options were added in 2016 and 2018 and only have data for the years asked.
24. IT & DATA MANAGEMENT RESEARCH,
INDUSTRY ANALYSIS & CONSULTING
WLA 3 Key Pain Points
Slide 24 © 2018 Enterprise Management Associates, Inc.
What are the three (3) key pain points related to job scheduling/workload automation?
0% 5% 10% 15% 20% 25% 30% 35% 40% 45%
Cost
Software upgrades
Ability to scale
High training requirements
Performance monitoring capabilities
SLA management
Root cause analysis
Too many scripts required
Workloads are tied to physical servers or mainframe
Ability to connect to business applications
Licensing of additional agents
Ongoing maintenance fees/ongoing cost of ownership
Completeness of API
Lifecycle management of jobs and workflows
Self-service capabilities
Maintenance of agents
Lack of central management of mainframe and…
Lack of integration with container management…
Lack of user community to share custom integrations…
2018 2016 2013
Sample Size = 2018 = 427, 2016 = 228, 2013 = 174 Note: options were added in 2016 and 2018 and only have data for the years asked.
25. IT & DATA MANAGEMENT RESEARCH,
INDUSTRY ANALYSIS & CONSULTING
Top 3 Decision Criteria for New WLA
Slide 25 © 2018 Enterprise Management Associates, Inc.
What are your organizations top three (3) decision criteria when purchasing a new WLA
software solution?
0% 10% 20% 30% 40% 50% 60%
Operating cost
Licensing cost
Ease of use
Ease of deployment
Integrated analytics
Self-service development
Big data and BI connectors
Integrated SLA management
Root cause analytics
Ease of agent management
Public cloud connectors
Minimal scripting requirements
Comprehensiveness of API (embedded…
Licensing options without per-job pricing
Single management control panel
Availability of mobile app
Connectors to private cloud platforms
Connectors for container platforms
None of the above
2018 2016 2013
Sample Size = 2018 = 427, 2016 = 226, 2013 = 173 Note: options were added in 2016 and 2018 and only have data for the years asked.
26. IT & DATA MANAGEMENT RESEARCH,
INDUSTRY ANALYSIS & CONSULTING
IT & DATA MANAGEMENT RESEARCH,
INDUSTRY ANALYSIS & CONSULTING
Market Impact
27. IT & DATA MANAGEMENT RESEARCH,
INDUSTRY ANALYSIS & CONSULTING
Years on Primary WLA Software
Slide 27 © 2018 Enterprise Management Associates, Inc.
How long has your organization been using your primary WLA software?
5%
30%
40%
17%
4% 4%
0%
5%
10%
15%
20%
25%
30%
35%
40%
45%
Less than
one year
1-2 years 3-4 years 5-10 years More than 10
years
I don't know
Sample Size = 427
28. IT & DATA MANAGEMENT RESEARCH,
INDUSTRY ANALYSIS & CONSULTING
IT & DATA MANAGEMENT RESEARCH,
INDUSTRY ANALYSIS & CONSULTING
The US started the latest wave of migrating to new WLA, and therefore
leads Europe slightly in the average age of primary WLA
Slide 28 © 2018 Enterprise Management Associates, Inc.
12%
13%
18%
22%
19%
16%
0% 10% 20% 30%
Europe
NA
By Region
Less than 3 Years 3-4 Years
5+ Years
4%
3%
1%
4%
13%
4%
4%
5%
5%
21%
4%
5%
4%
5%
16%
0% 10% 20% 30%
France
Germany
Poland
UK
US
By Country
Less than 3 Years 3-4 Years
5+ Years
How long has your organization been using your primary WLA
software?
Sample Size = 427
29. IT & DATA MANAGEMENT RESEARCH,
INDUSTRY ANALYSIS & CONSULTING
New and Existing WLA Users
Slide 29 © 2018 Enterprise Management Associates, Inc.
How long has your organization been using your primary WLA software?
5%
30%
40%
17%
4% 4%
0%
5%
10%
15%
20%
25%
30%
35%
40%
45%
Less than
one year
1-2 years 3-4 years 5-10 years More than 10
years
I don't know
Sample Size = 427
New WLA
Path
N=319
Existing WLA
Path N=108
30. IT & DATA MANAGEMENT RESEARCH,
INDUSTRY ANALYSIS & CONSULTING
New and Existing WLA Users
Slide 30 © 2018 Enterprise Management Associates, Inc.
How long has your organization been using your primary WLA software?
5%
30%
40%
17%
4% 4%
0%
5%
10%
15%
20%
25%
30%
35%
40%
45%
Less than
one year
1-2 years 3-4 years 5-10 years More than 10
years
I don't know
Sample Size = 427
New WLA
Path
N=319
Existing WLA
Path N=108
It was expected that 4 years or less
for the “New WLA” path in the survey
would be about 50%, not 75%!
31. IT & DATA MANAGEMENT RESEARCH,
INDUSTRY ANALYSIS & CONSULTING
New WLA Users Path to Primary WLA
Slide 31 © 2018 Enterprise Management Associates, Inc.
Which statement best describes the recently adopted WLA software?
49%
44%
7%
0% 10% 20% 30% 40% 50%
This is our first use of
enterprise WLA software
We migrated to new WLA
software from another WLA
tool
We added new WLA software
to be our primary tool, but
still use other WLA tools
Sample Size = 319
28%
17%
2%
21%
27%
5%
0% 10% 20% 30%
Less than 3 years 3-4 years
32. IT & DATA MANAGEMENT RESEARCH,
INDUSTRY ANALYSIS & CONSULTING
Why change WLA software
Slide 32 © 2018 Enterprise Management Associates, Inc.
You indicated that your organization migrated to a new WLA software within the last 4 years.
What was your motivation for making the change?
Sample Size = 162, Valid Cases = 162, Total Mentions = 705
27%
26%
26%
25%
25%
22%
22%
22%
21%
20%
20%
20%
20%
19%
19%
19%
15%
15%
15%
14%
12%
12%
0% 10% 20% 30% 40% 50%
More efficient change management
Simpler root cause analysis
Better high-availability capabilities
Lower annual operations cost
Easier workflow design
Better user interface/ease of use
Easier agent management
More proactive SLA management
Better auditing capabilities
Less scripting required
Mobile access
Ability to easily and securely place workloads in private and public clouds
More efficient lifecycle management
Simpler queue management
Ability to better tie jobs and workflows to business processes
Easier management server upgrades
Out-of-the-box connectors with big data, BI, and analytics solutions
More comprehensive API (ability to build our own connectors)
More flexible licensing model
Available as a hosted service
We originally overbought and decided on a simpler, more appropriate solution
Issues with our previous WLA vendor
2018 2016 2013
33. IT & DATA MANAGEMENT RESEARCH,
INDUSTRY ANALYSIS & CONSULTING
Issues with previous WLA vendor
Slide 33 © 2018 Enterprise Management Associates, Inc.
You said you changed WLA software because of issues with your previous vendor.
Sample Size = 20, Valid Cases = 20, Total Mentions = 47
55%
50%
45%
40%
25%
20%
0% 10% 20% 30% 40% 50% 60%
Previous WLA solution was unable to
scale
Previous vendor changed licensing
terms
Previous WLA solution was unreliable
Previous WLA solution had poor support
Previous WLA solution had low ROI
Previous WLA solution was acquired by
another company
% Valid Cases (Mentions / Valid Cases)
34. IT & DATA MANAGEMENT RESEARCH,
INDUSTRY ANALYSIS & CONSULTING
Effort to Migrate to New WLA
Slide 34 © 2018 Enterprise Management Associates, Inc.
How would you describe the effort involved?
Sample Size = 162, Valid Cases = 162, Total Mentions = 195
16%
40%
23%
32%
10%
0%
5%
10%
15%
20%
25%
30%
35%
40%
45%
A non-eventEasier than
expected
More difficult
than expected
Disruptive, but
worth the effort
Disruptive and
not worth the
effort
% Valid Cases (Mentions / Valid Cases)
35. IT & DATA MANAGEMENT RESEARCH,
INDUSTRY ANALYSIS & CONSULTING
Most Difficult Aspect of Migrating to New WLA
Slide 35 © 2018 Enterprise Management Associates, Inc.
What was the most difficult aspect of changing WLA software?
Sample Size = 162, Valid Cases = 162, Total Mentions = 383
37%
29%
28%
28%
25%
24%
24%
22%
19%
0% 5% 10% 15% 20% 25% 30% 35% 40%
Migration of workflows
Balancing ongoing operations with
migration activities
Motivating the team
Migration of WLA servers
Retraining scheduling staff
Migration of agents
Retraining developers
Taking advantage of all the new features
Justifying the cost of migration to
management
% Valid Cases (Mentions / Valid Cases)
36. IT & DATA MANAGEMENT RESEARCH,
INDUSTRY ANALYSIS & CONSULTING
Benefits to Migrating Realized?
Slide 36 © 2018 Enterprise Management Associates, Inc.
Did you get the benefits you expected from the new software?
6% 7%
11%
22%
36%
18%
0%
5%
10%
15%
20%
25%
30%
35%
40%
No way to
measure
No, we traded
one set of
problems for a
different set of
problems
Some benefits,
but not in line
with the effort
to migrate
Too early to
tell, but so far
so good
Yes, the
benefits are as
we expected
Way better than
expected
Sample Size = 162
37. IT & DATA MANAGEMENT RESEARCH,
INDUSTRY ANALYSIS & CONSULTING
Planning to Migrate to New WLA
Slide 37 © 2018 Enterprise Management Associates, Inc.
Is your organization considering migrating to a different WLA software?
44%
56%
52%
48%
32%
68%
0% 20% 40% 60% 80%
Yes
No
2018 2016 2013
38%
51%
62%
49%
49%
54%
51%
46%
0% 20% 40% 60% 80%
2018
2016
Ye
s
No
Sample Size = 2018 = 108, 2016 = 228, 2013 = 174
By Year By Region By Year
Note: In 2018, only those running current WLA software 5+ years were asked about considering migrating.
In 2013 and 2016, all respondents were asked this question.
38. IT & DATA MANAGEMENT RESEARCH,
INDUSTRY ANALYSIS & CONSULTING
Not Considering Migrating to New WLA
Slide 38 © 2018 Enterprise Management Associates, Inc.
Why not considering migrating to new WLA software?
33%
15%
12%
11%
10%
7%
6%
5%
38%
28%
23%
22%
17%
16%
28%
52%
29%
26%
27%
23%
25%
21%
0% 10% 20% 30% 40% 50% 60%
We are happy with our current WLA
software
Investments in existing WLA software
Difficult migration of workflows
Difficult migration of WLA servers
Lack of experience with other WLA tools
Difficult migration of agents
Political reasons
There are no better tools out there
2018 2016 2013
Sample Size = 2018 = 61, 2016 = 109, 2013 = 118
39. IT & DATA MANAGEMENT RESEARCH,
INDUSTRY ANALYSIS & CONSULTING
Reasons for Migrating to New WLA
Slide 39 © 2018 Enterprise Management Associates, Inc.
What are/would be reasons for migrating to a different WLA software?
43%
36%
36%
36%
32%
30%
28%
28%
28%
28%
26%
26%
26%
26%
23%
23%
21%
21%
19%
17%
0% 10% 20% 30% 40% 50% 60%
Better auditing capabilities
Out-of-the-box connectors with big data, BI, and…
Easier workflow design
Better high-availability capabilities
More efficient change management
Available as a hosted service
Mobile access
Simpler queue management
More proactive SLA management
Ability to better tie jobs and workflows to business…
Better user interface/ease of use
Easier agent management
Lower annual operations cost
Easier management server upgrades
More comprehensive API (ability to build our own…
Simpler root cause analysis
Ability to easily and securely place workloads in private…
We originally overbought and decided on a simpler,…
Less scripting required
More efficient lifecycle management
2018 2016 2013Sample Size = 2018 = 47, 2016 = 119, 2013 = 56
40. IT & DATA MANAGEMENT RESEARCH,
INDUSTRY ANALYSIS & CONSULTING
IT & DATA MANAGEMENT RESEARCH,
INDUSTRY ANALYSIS & CONSULTING
A View of a Shifting Market
Slide 40 © 2018 Enterprise Management Associates, Inc.
First use of WLA last
4 years
37%
Changed WLA last 4
years
33%
Added 2nd WLA
last 4 years
5%
Using WLA 5+ years
Considering Migrating
11%
Using WLA 5+ years
Not Considering
Migrating
14%
Sample Size = 427
41. IT & DATA MANAGEMENT RESEARCH,
INDUSTRY ANALYSIS & CONSULTING
IT & DATA MANAGEMENT RESEARCH,
INDUSTRY ANALYSIS & CONSULTING
WLA Analytics
42. IT & DATA MANAGEMENT RESEARCH,
INDUSTRY ANALYSIS & CONSULTING
Analytics Capabilities
Slide 42 © 2018 Enterprise Management Associates, Inc.
What type of analytics capabilities does your organization currently have in production or
will be deploying within the next 12-24 months?
42%
40%
39%
37%
33%
33%
30%
4%
46%
43%
46%
44%
43%
5%
47%
48%
43%
36%
40%
11%
0% 10% 20% 30% 40% 50% 60%
Capacity analytics
Workflow optimization suggestions
SLA monitoring
Root cause analytics
Dynamic thresholding
Proactive warnings
Wait time analysis
None
2018 2016 2013
Sample Size = 2018 = 427, 2016 = 228, 2013 = 174 Note: options were added in 2016 and 2018 and only have data for the years asked.
43. IT & DATA MANAGEMENT RESEARCH,
INDUSTRY ANALYSIS & CONSULTING
Analytics: Built-in or Add-on
Slide 43 © 2018 Enterprise Management Associates, Inc.
Are these analytics capabilities built into your organizations WLA software, or are they part
of a separate solution?
36%
34%
26%
4%
61%
34%
5%
43%
48%
9%
0% 10% 20% 30% 40% 50% 60% 70%
Built into WLA software
Integration with a WLA-specific analytics
solution
Integration with a general use analytics
solution
Separate Solution
None
Sample Size = 2018 = 427, 2016 = 228, 2013 = 174 Note: options were added in 2016 and 2018 and only have data for the years asked.
44. IT & DATA MANAGEMENT RESEARCH,
INDUSTRY ANALYSIS & CONSULTING
WLA-specific Add-on Analytics
Slide 44 © 2018 Enterprise Management Associates, Inc.
Which WLA-specific analytics solution are you using?
Sample Size = 144, Valid Cases = 144, Total Mentions = 216
41%
37%
37%
31%
5%
0% 5% 10% 15% 20% 25% 30% 35% 40% 45%
Terma Software
Digitate ignio for Batch
SMA Ascern
CA iDash
Other
% Valid Cases (Mentions / Valid Cases)
45. IT & DATA MANAGEMENT RESEARCH,
INDUSTRY ANALYSIS & CONSULTING
Key Pain Points Addressed by Analytics
Slide 45 © 2018 Enterprise Management Associates, Inc.
What are your organization's key WLA-related pain points that analytics address?
34%
28%
28%
27%
26%
26%
25%
25%
24%
23%
22%
19%
2%
36%
34%
29%
30%
31%
23%
23%
33%
29%
26%
25%
4%
51%
36%
25%
30%
29%
26%
28%
30%
29%
33%
28%
3%
0% 10% 20% 30% 40% 50% 60%
Capacity planning
Prioritize issues
Complexity of interdependencies
Difficult root cause analysis
Predict job failures
Predict SLA violations
Setting performance thresholds
Dynamic workload placement
Dynamic resource provisioning
Predict performance bottlenecks
What-if analysis
Insufficient understanding of business impact of workloads
No analytics in use
2018 2016 2013
Sample Size = 2018 = 427, 2016 = 228, 2013 = 174 Note: options were added in 2016 and 2018 and only have data for the years asked.
46. IT & DATA MANAGEMENT RESEARCH,
INDUSTRY ANALYSIS & CONSULTING
Key Benefits of Predictive Analytics
Slide 46 © 2018 Enterprise Management Associates, Inc.
In your opinion, how true is the following statement?
Predictive analytics help make workload automation more efficient and aligned with my organizations
business.
33%
55%
11%
1%
0%
32%
56%
10%
2%
1%
26%
58%
13%
2%
1%
0% 10% 20% 30% 40% 50% 60% 70%
Completely true
Somewhat true
Neither true nor false
Somewhat false
Completely false
2018 2016 2013
Sample Size = 2018 = 427, 2016 = 228, 2013 = 174