FEATURE: BUSINESS ANALYTICS
problems. Enhancing customer experience
and development of new products were the
joint second most common uses, with 31%
of respondents listing each issue.
The survey also revealed that, despite a
lot of attention around advanced forms of
analytics, 64% of organisations still consider
enterprise reporting and dashboards their
most business-critical applications for
data and analytics. In the same manner,
traditional data sources such as transactional
data and logs also continue to dominate,
although 46% of organisations now report
using external data.
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to experience a different set of issues
depending on their geography and current
level of maturity. However, the survey
identified the three most common barriers
as: defining data and analytics strategy,
determining how to get value from projects,
and solving risk and governance issues.
“These barriers are consistent with what
Gartner hears from client organisations who
are at maturity levels two and three,” said
Jim Hare, Research Vice President at Gartner.
“As organisational maturity improves to
enterprise level and beyond, organisational
and funding issues tend to rise.”
“It’s easy to get carried away with new
technologies such as machine learning and
artificial intelligence,” said Heudecker. “But
traditional forms of analytics and business
intelligence remain a crucial part of how
organisations are run today, and this is
unlikely to change in the near future.” In terms of infrastructure, on-premises
deployments still dominate globally, ranging
from 43 to 51% of deployments depending
on use case. Pure public cloud deployments
range from 21 to 25% of deployments,
while hybrid environments make up between
26 and 32%.
Organisations reported a broad range of
barriers that prevent them from increasing
their use of data and analytics. There
isn’t one clear reason; organisations tend “Where the analytics workloads run is based
a lot on where the data is generated and
stored,” said Hare. “Today, most public cloud
workloads are new and we won’t see the
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INTELLIGENTCIO
percentage of cloud use rise until legacy
workloads migrate en masse, This scenario
will happen eventually but given the extent
to which modern data and analytics efforts
overwhelmingly use traditional data types
stored on-premise, this shift will likely take
several years to complete.” n
TRADITIONAL
FORMS OF
ANALYTICS
AND BUSINESS
INTELLIGENCE
REMAIN A CRUCIAL
PART OF HOW
ORGANISATIONS
ARE RUN TODAY.
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