Intel Big Data Analysis Peer Research Slideshare 2013
Intel Conﬁdential — Do Not Forward
Insights on Big Data Analytics
Intel’s IT Manager Survey
200 U.S.-Based IT Managers Speak Out
We wanted to ﬁnd out:
What is your understanding of big data?
How are you approaching your big data projects?
An update to our 2012 survey, this report also:
Shows year-over-year evolution in the understanding of big data analytics
Demonstrates some of the progress made in big data in the enterprise
Note: See our methodology in the full research report
Top Five Findings
1. Big data analytics is a top strategic focus.
2. IT and stakeholders understand the value potential of big data.
3. Big data is delivering real-world insight.
4. The cloud and commercial versions of Apache Hadoop* are a
good ﬁt for big data analytics.
5. Big data challenges are evolving.
Big Data Analytics Is a Top Strategic Focus
Similar to our 2012 ﬁndings,
our 2013 survey identiﬁed
big data as a top strategic
focus for the enterprise.
center infrastructure is
also a leading priority
Larger companies ($100M+)
are three times more likely
than smaller ones (<$100M)
to rank big data as their top
priority (34% vs. 11%).
Enterprises Have a Formal Big Data Strategy
70% of respondents already have
a formal big data strategy in place.
22% of respondents will have
a formal plan in place within
77% of respondents currently
process both structured and
16% plan to do so within the
IT Managers Understand Big Data
IT managers feel that they—and their
stakeholders— know what big data is
about and understand its value.
- 91% of IT managers have a strong
understanding of big data and what it takes to
support it (compared to 80% in 2012).
- 75% felt their stakeholders also have a strong
understanding of big data.
And requests for big data analytics
- 54% receive requests regularly and 97% receive
them at least occasionally.
- Fortunately, the majority of these requests are
communicated fairly clearly (79%).
Big Data Is Delivering Real-World Insight
Our survey group is already using
big data to gather insight.
Top uses today:
- Evaluating stafﬁng levels and productivity
- Generating competitive intelligence
Expected top uses by 2016:
- Improving operational efﬁciency
- Generating new revenue sources
… And Deployment of Commercial Versions
of Apache Hadoop* Is Increasing
Adoption of tools such as the Apache Hadoop* framework
continues to rise.
Big Data Challenges Are Evolving
Now that big data is moving
to real-world implementation,
the challenges and obstacles
49% of IT managers rate
analyzing big data sets as
a leading challenge.
36% list big data expertise
as a top-tier concern.
Data growth and data
integration also top the list.
Concerns about Apache Hadoop* Framework
42% of IT managers are concerned about
high subscription and licensing costs.
30% worry that vendor solution capabilities
will be limited or difﬁcult to upgrade.
43% worry about the completeness of an
open-source Apache Hadoop* solution.
38% are concerned about integrating the
solution with existing resources.
Had a Lot More to Say
Read the full research report at
Learn more about big data analytics at
intel.com/bigdata.• Join the Intel IT Center at
intel.com/itcenter to gain access
to more industry insights.