Bucking the trend,
10 percent of the respondents said they still have
no plans to implement analytics, and nearly a third
have yet to put predictive
analytics into production.
As one respondent said,
“[There is] still much
user resistance to using Figure 1: Increasing impact from predictive analytics.
[the] results of analytics. People still believe in
the superiority of human
judgment.”
Matching this rise in
overall impact from predictive analytics is a similar rise in both current
and planned deployment Figure 2: Broad adoption of predictive analytics in the cloud.
of predictive analytics
in the cloud since 2011.
The research divided predictive analytics
survey respondents said they had dein the cloud into three use cases:
ployed at least one of these predictive
1. Pre-packaged, cloud-based decisionanalytics in the cloud use cases – a sigmaking solutions that embed
nificant increase over 2011. As Figure 2
predictive analytics.
shows, an astonishing 90 percent said it
2. Cloud-based predictive modeling –
was likely they would have at least one
building models in the cloud.
class of solution widely deployed in the
3. Cloud-based deployment of predictive
next few years. Predictive analytics in
analytics – scoring in the cloud.
the cloud is going mainstream and may,
These three scenarios leverage the
in fact, already be there.
scalability and pervasiveness of the cloud
The primary driver for the use of
as well as the growing use of the cloud cloud-based solutions was reduced cost.
to deliver data. More than 60 percent of
Advanced analytic applications have
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