Master of Machines
Transcript of Master of Machines
Clive Longbottom,
Service Director, Quocirca Ltd
Masters of Machines C
Business insight from IT operational intelligence
Bob Tarzey
Analyst and Director
Quocirca Ltd.
April 3rd 2014
© Quocirca 2014
Overview
Background
Metrics
Infrastructure
Operational intelligence
Machine data
Tooling-up
© Quocirca 2014
Background
© Quocirca 2014
Research background: 5 countries, 6 sectors
14
8
21
22
20
85
6
15
22
20
22
85
13
9
18
22
23
85
10
12
22
21
20
85
2
7
5
5
20
1
3
7
9
20
0% 20% 40% 60% 80% 100%
Netherlands
Sweden
UK
Germany
France
Overall
Finance Manufacturing Other commercial
RDT Telco Gaming
RDT = retail, distribution and transport
© Quocirca 2014
Business sizes by sector
6
6
8
6
51
30
34
22
151
4
4
23
49
29
37
146
2
10
11
6
22
26
77
0% 20% 40% 60% 80% 100%
Gaming
Telco
RDT
Other commercial
Manufacturing
Finance
Overall
200 to 1,000 1,000 to 3,000 3,000 to 5,000 Over 5,000
Job roles of respondents:
Senior IT or e-commerce
© Quocirca 2014
© Quocirca 2014
To what extent do you agree with this statement: "Our organisation could benefit from the use of operational
intelligence by collecting, storing and analysing real-time and historical machine data to gain insights that would not
otherwise be available."
29%
24%
20%
36%
42%
40%
33%
46%
54%
60%
47%
46%
50%
49%
0% 20% 40% 60% 80% 100%
Manufacturing
RDT
Gaming
Other commercial
Finance
Telco
Overall
Strongly agree Somewhat agree
© Quocirca 2014
Metrics
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Transactiveness
Operational
intelligence
maturity
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25,560
27,125
27,316
29,603
65,824
111,050
13,083
28,519
31,820
82,320
40,445
0 40,000 80,000 120,000
Other commercial
Gaming
Manufacturing
RDT
Finance
Telco
200 to 1,000
1,000 to 3,000
3,000 to 5,000
Over 5,000
OverallSe
cto
rSi
ze. N
o. o
fem
plo
yees
TRANSACTIVENESS: volume of daily commercial transactions driven by IT systems
© Quocirca 2014
Types of business transactions considered essential OVERALL
20%
36%
38%
47%
69%
0% 20% 40% 60% 80%
Digital assets
M2M
B2P
B2C
B2BO
vera
ll
See report for
data by
industry
© Quocirca 2014
Transaction volume ranges
21%
30% 26%
23% Very high (< 50K)
High (20K-50K)
Medium (5K to20K)
Low (< 5000)
© Quocirca 2014
The 4 stages of operational intelligence maturity
© Quocirca 2014
The 4 stages of operational intelligence maturity
© Quocirca 2014
Please rate your organisation’s ability to do the following OVERALL
25%
28%
25%
24%
24%
28%
26%
33%
28%
27%
29%
46%
42%
44%
39%
43%
48%
49%
43%
44%
40%
43%
47%
36%
23%
21%
23%
23%
17%
17%
24%
19%
23%
24%
20%
14%
10%
8%
12%
9%
11%
6%
7%
5%
9%
6%
4%
4%
0% 20% 40% 60% 80% 100%
4C
4B
4A
3C
3B
3A
2C
2B
2A
1C
1B
1AR
eal
-tim
eb
usi
ne
ssin
sigh
tsO
pe
rati
on
alvi
sib
ility
Pro
acti
vem
on
ito
rin
gSe
arch
an
din
vest
igat
e
Already strong Would like to improve Poor None
© Quocirca 2014
© Quocirca 2014
Operational intelligence index by sector
© Quocirca 2014
Operational intelligence index by size
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Infrastructure
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What role do the following play in the way IT is deployed by your organisation?
28%
30%
31%
47%
64%
38%
45%
45%
42%
26%
0% 20% 40% 60% 80% 100%
Infrastructure/platform-as-a-service (IaaS/PaaS)
Software-as-a-service (SaaS)
Our own systems in a third partydata centre
Virtualisation
Our own systems in our owndata centre
Primary Secondary
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Transactiveness and use of flexible infrastructure
35,450
34,751
46,617
35,404
44,185
40,808
40,445
0 20,000 40,000 60,000
We do not deploy in this way
A secondary way we deploy
A primary way we deploy
We do not deploy in this way
A secondary way we deploy
A primary way we deploy
OverallU
sevi
rtu
alis
atio
nU
se S
aaS/
Paa
S
Average daily transaction volume
© Quocirca 2014
Percentage of infrastructure managed in-house and by service providers
58%
63%
64%
66%
67%
72%
65%
42%
37%
36%
34%
33%
29%
35%
0% 20% 40% 60% 80% 100%
Gaming
Manufacturing
Finance
Other commercial
RDT
Telco
Overall
In-house Outsourced
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Operational intelligence
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Operational intelligence in action
Call centre monitoring
Monitoring usage of online services
Fraud prevention
Payment card controls
Physical access control
Access authentication
Service personalisation
IT management controls
KPI measurement and monitoring
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Operational intelligence maturity By use of FLEXIBLE INFRASTRUCTURE
1.69
1.89
2.02
1.56
1.98
2.27
1.92
0 1 2 3
We do not deploy in this way
A secondary way we deploy
A primary way we deploy
We do not deploy in this way
A secondary way we deploy
A primary way we deploy
Overall
Use
of
virt
ual
isat
ion
Use
of
Paa
S/Ia
aS
OI index
© Quocirca 2014
Job roles with a comprehensive view of operational intelligence
© Quocirca 2014
17%
22%
27%
28%
35%
36%
56%
28%
22%
38%
41%
27%
36%
29%
19%
21%
22%
18%
22%
12%
36%
34%
13%
13%
16%
16%
9%
0% 20% 40% 60% 80% 100%
Service providers
Partners
Product managers
Marketing managers
Board level executives
Application developers
IT managers
Comprehensive Would like to improve
Would like to, not able to No need/don't know/no OI
What roles in the organisation have access to operational intelligence?
© Quocirca 2014
Board level view of operational intelligence By OI INDEX
27%
33%
48%
82%
35%
16%
21%
28%
35%
9%
27%
34%
37%
23%
11%
22%
47%
15%
16%
6%
9%
16%
0% 20% 40% 60% 80% 100%
Very low
Low
Medium
High
Maximum
Overall
Comprehensive view Would like to improve view
Would like to provide a view No need/don't know/no OI
© Quocirca 2014
View of operational intelligence provided to service providers By HOW IT IS MANAGED
18%
20%
16%
17%
38%
41%
22%
28%
25%
13%
18%
19%
18%
26%
44%
36%
0% 20% 40% 60% 80% 100%
Mainly by service provider
Equal
Mainly in-house
Overall
Ho
w IT
infr
astr
uct
ure
is
man
age
d
Already comprehensive Would like to improve
Would like to, not able to No need/no OI capabilty/don't know
© Quocirca 2014
Machine data
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Sources of machine data
System and network data
User data
Application data
Web data
Other sources
© Quocirca 2014
How necessary is machine data for delivering operational intelligence?
20%
35%
34%
42%
48%
30%
38%
45%
34%
41%
44%
39%
60%
41%
0% 20% 40% 60% 80% 100%
Gaming
Manufacturing
RDT
Other commercial
Finance
Telco
Overall
Very Somewhat
© Quocirca 2014
How much of a challenge are the following issues for your organisation? OVERALL
18%
20%
19%
21%
23%
26%
33%
33%
37%
37%
37%
38%
0% 10% 20% 30% 40% 50% 60% 70%
Integrate and analyse machine datafrom both on-premise and on-…
Delivering value to your businessfrom machine generated 'big data'
Ability to add new data sources toexisting data stores
Correlate historical machine datawith new machine data collected…
Integration of multiple data stores
Collecting, searching and analysinglarge volumes of historic machine…
A big challenge Somewhat of a challenge
© Quocirca 2014
Percentage of IT infrastructure machine data is gathered from By OI INDEX
15%
39%
45%
49%
65%
0% 10% 20% 30% 40% 50% 60% 70%
Very low
Low
Medium
High
Maximum
% of infrastructure machine data gathered from
OI I
nd
ex
© Quocirca 2014
Tooling up
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How does your organisation currently capture operational intelligence?
4%
27%
45%
46%
54%
57%
64%
0% 20% 40% 60% 80%
We do not currently capture
Purpose built tool
Custom scripts
Relational database system
Data warehouse
Spreadsheets
Business intelligence tools
© Quocirca 2014
Machine data collected by tool used
43%
44%
44%
44%
45%
52%
43%
20% 30% 40% 50%
Spreadsheets
Data warehouse
Custom scripts
Business intelligence tools
Relational database system
Purpose built tool
Overall
© Quocirca 2014
Quocirca’s report is freely available here:
http://www.splunk.com/goto/masters_of_machines_whitepaper