8/12/2019 Masters of Machines

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MASTERS OF 

MACHINES 

BUSINESSES NEED MORE KNOWLEDGE

HOW MATURE IS YOUR INDUSTRY?

82%of European businesses believe they could

benefit from the use of operational intelligence

(OI) by collecting, storing and analyzing

real-time and historical machine data to gain

insights that would not otherwise

be available

The “OI Maturity Index” ranges from near zero (no capability at all) to 3 (fully capable in

all areas). The index rates their ability to search and investigate, proactively monitor,

provide operational visibility, and deliver real-time business insights from big data.

When it comes to operational intelligence maturity, industries are ranked in the

following order:

IS SIZE RELEVANT?Some smaller organizations are as capable as larger enterprises; this is due to real need

but may also reflect the fact that they may have less complex IT infrastructures. Smaller

companies may also be more innovative, for example in gaming, and may have

development/IT teams that are more agile than other sectors and potentially more

predisposed to using disruptive technologies.

LEADER OR LAGGARD?

The way machine data is collected and turned into operational intelligence progresses

from IT-focussed root cause analysis to real time business insights. Most organizationsstart at stage one and mature over time through stages 2, 3 and finally 4. The degree to

which they achieved this can be thought of their operational intelligence maturity and is

expressed as the “OI Index”...

INSIGHT OR BLURRED VISION?

83% of organizations admit that they would like to improve, or aren't currently seeing,real-time business insight from their machine data. Across European businesses, who is

believed to have a comprehensive view of their operational intelligence?

2.23

TELECOMS

1.98

FINANCE

1.92

RETAIL, TRANSPORT

AND DISTRIBUTION

1.91

GAMING

1.90

OTHER COMMERCIAL

1.82

MANUFACTURING

1.92Overall, European companies scored an average of

Operational intelligence rating by company size across Europe

– between poor and some capability

Telecoms and finance 

stand out because they are more ‘transactive’ than other industries, with 111,000 and 66,000 

IT-driven transactions per day respectively which generate considerable machine data, compared

to an average volume of 40,445

Infographic by Michael Agar Design | michaelagar.co.uk

METHODOLOGY 

Quocirca surveyed 380 key decision-makers across Europe in January 2014; 99 from France, 97 from Germany,

93 from the UK, 46 from Sweden, and 45 from the Netherlands.

1

2

3

SEARCH AND INVESTIGATE• Capture, store and search machine data

• Search and find the root cause of important events• Analyze machine data to find the root cause of

important events

PROACTIVE MONITORING

• Analyze machine data to notice and manage

exceptions before they impact users or service delivery

• Use machine data in real time to make decisions

about tuning IT systems

• Use machine data to provide the business insight

OPERATIONAL VISIBILITY • Use machine data to measure service levels and key

performance indicators to better serve the business

• Use machine data to gain end-to-end visibility of

consumer behaviour and business performance

• Examine machine data for general intelligence about

customers that would not otherwise be available

REAL-TIME BUSINESS INSIGHTS• Correlate machine data with business data to

provide real-time insight

• Use real-time analytics from machine data to

detect patterns, identify trends and predict

outcomes

• Provide the business views from machine data

analysis that drive real-time decision making with

customer, marketing and product-centric insights

4

35% 28%

56%

True operational intelligence uses the datagenerated by machines to access, tune andimprove IT and business processes, identify

security threats, highlight performanceissues and spot emerging customer trends

BOB TARZEY ANALYST WITH QUOCIRCA

Marketing

Managers

Board-level

executives

IT ManagersProduct

Managers

27%

Overall

1.92Over 5,000

employees

2.153,000 to 5,000

employees

1.921,000 to 3,000

employees

1.80200 to 1,000

employees

2.13