LONDON, April 23, 2018 /PRNewswire/ -- Teradata
Universe EMEA 2018 -- A majority of the largest companies in
the world (83 percent) agree that the cloud is the best place to
run analytics, according to a new survey by Vanson Bourne on behalf of Teradata (NYSE: TDC),
the leading cloud-based data and analytics company. In the next
five years, by the year 2023, most organizations want to run all of
their analytics in the cloud. But, an overwhelming 91 percent say
that analytics should be moving to the public cloud at a faster
rate.
Where's the disconnect? According to the survey, some of the
biggest barriers to moving analytics to the cloud are security (50
percent), immature and low-performing available technology (49
percent), regulatory compliance (35 percent) and lack of trust (32
percent). Other concerns center on technology integration and
talent: 30 percent are struggling to connect legacy systems with
cloud applications, while 29 percent of respondents cited lack of
in-house skill as a barrier.
The survey, titled "The State of Analytics in the Cloud," polled
senior technology leaders at 700 large, global organizations, with
average global annual revenue of $9.73
billion (19 percent with revenue ranging to $50 billion).
"The results are clear: the market is marching toward cloud
analytics, but so many of today's cloud-only analytic engines lack
the power or speed to handle enterprise-scale analytic workloads,"
said Martyn Etherington, Chief
Marketing Officer at Teradata. "In fact, the performance gap for
analytics at scale in the cloud gets even larger for the biggest
companies. According to the survey, 63 percent of companies with
revenues more than $10 billion view
immature and low-performing available technology as a major
barrier, compared to 41 percent of companies with revenues of
$250-500 million. Given this concern,
it's easy to see why Teradata stands out for its sophisticated
cloud analytic environments capable of handling hundreds of
terabytes and thousands of users running millions of queries per
day."
The survey found that large organizations are maturing when it
comes to their use of analytics, with one out of three using
complex deep learning and machine learning to power artificial
intelligence (AI). These companies are also experienced in using
the cloud with one-third currently adopting public cloud across the
whole organization. Unfortunately, the combination – moving to and
using analytics in the cloud – is happening at a slower rate than
other business applications and workloads.
Data Details
The respondents use BI, data discovery and data mining, and
are moving quickly into advanced analytics such as AI powered by
machine learning and deep learning, regardless of type of
deployment.
- One out of three respondents are using complex deep learning
and machine learning to power AI today. That number jumps to 68
percent of respondents when including the companies that plan to
adopt AI technologies in the next 12 months.
- Nearly half are doing data visualization and data mining today,
and that number increases to around three quarters of respondents
when including the companies that will adopt these technologies in
the next 12 months.
- Customer-facing analytics is the leading priority in terms of
use cases, with 81 percent of companies already or planning to use
analytics for customer service in the next year. Also, companies
are already using or planning to use, within the next 12 months,
analytics for marketing (77 percent) and sales (76 percent) use
cases.
When it comes to deployment, the organizations surveyed are
bullish on the cloud, but concerned about the slow pace of
analytics adoption in the cloud.
- They're already moving to the cloud in other areas, with 35
percent currently adopting public cloud across the whole
organization and 39 percent currently adopting public cloud in some
areas of the organization.
- Organizations are enjoying their experience with public cloud
and 92 percent feel they are somewhat or very successful with their
use of the public cloud.
- 83 percent agree that public cloud is the best place to run
analytics. But 70 percent strongly agree or somewhat agree that
analytics are moving to the cloud at a slower rate than other
business applications and workloads, and 91 percent say that
analytics should be moving to the public cloud faster.
- The barriers to moving analytics to the cloud across
organizations include:
-
- Security (50 percent), insufficient performance/too immature
(49 percent), regulation (35 percent), lack of trust (32 percent),
connecting legacy systems with cloud applications (30 percent),
lack of in-house skills (29 percent), greater prioritization of
other applications (24 percent), insufficient business priority (23
percent) and standardized SLAs that don't fit our business (14
percent).
- 63 percent of companies with revenues over $10 billion view immature and low-performing
available technology as a barrier, compared to 41 percent of
companies with revenues of $250-500
million.
Relevant News Links
- The State of Analytics in the Cloud Executive Summary
- The State of Analytics in the Cloud Infographic
- Teradata Software on AWS and on Azure
- More about Teradata IntelliCloud
- Video: High-Performance Analytics in the Cloud
About Teradata
Teradata helps companies achieve high-impact business outcomes.
With a portfolio of cloud-based business analytics solutions,
architecture consulting, and industry leading big data and
analytics technology, Teradata unleashes the potential of great
companies. Visit teradata.com.
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MEDIA CONTACT
Jennifer
Donahue
858-485-3029 office
650-346-1153 cell
Jennifer.Donahue@Teradata.com
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SOURCE Teradata