1. Gartner
BI Summit Recap
[March 2013]
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2. Gartner BI Summit Stats
• Few companies use predictive (13%) or prescriptive (3%)
Analytics.
• 75% of current data warehouses will not scale to meet
the new velocity and complexity of data demands
• There will be a 48% growth rate in digital content
• 86% of companies cannot deliver the right information at
the right time
• 70% of the Most Profitable Companies Will Manage Their
Business Processes Using Real-Time Predictive Analytics
or Extreme Collaboration
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3. Nate Silver Nuggets
• DON’T mistake a bug or anomaly for an opportunity.
– Now, with more and more data available, businesses are
given more “opportunity to cherry pick the results they
want to see.”
• “Think probabilistically”
– Expect numbers to guide but not universally solve all
lingering business questions.
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4. IT Struggles with Big Data
• 79% of businesses with 501 to 1000 employees
say their IT departments view big data as a
"significant challenge," versus just 55% of
organizations with more than 3,000 workers.
• One-third of IT managers, faced with have to
attend to daily short-term challenges, struggle
with long-term strategic planning related to big
data and other forward-looking technical matters.
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5. More Bad News…
• 7% of European organizations today see big data
as a priority, but more than 62% believe big data
will become a priority within three years.
• 25% of large European organizations have
developed a business plan for big data; however,
more than 80% of them have either "explored"
big data or plan to do so.
• 55% of respondents named analytics as one of
their biggest big data-related concerns, followed
by storage (53%) and network performance
(48%).
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6. Data Scientists ?!
By 2015, Big Data demand will reach 4.4
million jobs globally, but only one-third of
those jobs will be filled.
72% of respondents plan to increase their
spending in analytics this year (…). However,
60% actually said they don't have the skills
required to effectively use analytics.
Gartner, 2012-2013
53% of big data-focused companies say
analytics experts will be tough to find for the
next two years.
InformationWeek, 2012
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7. Data Scientists
Are You Making Enough?
Click Next
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8. FULL ANALYSIS @ HTTP://BIT.LY/DATASALARY
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9. More
@
www.sisense.com
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