TRENDING
high. Respondents on average have 70%
confidence that they can derive business
value from their data through analytics.
Those that invest in data science talent are
more likely to see ROI: confidence rises to
72% for those in analytics roles but drops to
65% for standard IT teams.
The same is true when considering the
future. Analytics teams are more confident
(66%) of their ability to scale to meet future
analytics workloads, compared to those in
standard IT roles (59%).
A total of 59% believe another role of an
analytics platform is to have an integrated
or centralised data framework, while 43%
believe it’s to provide modelling and
algorithms for AI and Machine Learning.
The responses suggest companies know
analytics can help them, but they lack a clear
and common understanding of the benefits
of using a platform approach across the
enterprise and the analytics lifecycle. It would
explain why few organisations have a suitable
www.intelligentcio.com
platform in place according to results from
SAS’ Enterprise AI Promise Study announced
at Analytics Experience Amsterdam. This
revealed only a quarter (24%) of businesses
felt they had the right infrastructure in place
for AI, while the majority (53%) felt they
either needed to update and adapt their
current platform or had no specific platform in
place to address AI.
Despite the wide variety of uses for
analytics, confidence in the end result is
The research report Here and Now: The
need for an analytics platform is the result
of a two-part research process. The first
phase consisted of in-depth interviews
with professionals in 132 business and
government organisations across EMEA.
These discussions were based on a common
set of 15 questions asked of analytics
business sponsors, IT decision-makers, heads
of analytics and data scientists. The findings
from this phase then informed the second
part of the research, an online global survey
of 477 qualified participants. n
INTELLIGENTCIO
25