Survey of 425 analytic professionals- those that are making big data and analytics work within organizations - to see if they have the skills needed to push analytics further and/or to identify the skills most needed and how people are developing them.

1. Analytical Skills, Tools, and Attitudes 2013
Survey Results
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2. Key findings from Lavastorm Analytics’ survey of
more than 425 business analysts, technologists,
data analytics professionals, managers, and Clevel professionals
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3. Who Completed the Survey?
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7. Key Findings
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10. Do you agree with the following statement? “My organization has a shortage
of people with the skills to analyze and glean insights from data.”
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12. What are the 3 analytic skills or experiences that are most necessary for you to
be successful in your current role? Select no more than 3.
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16. Conclusions – While Respondents Believe They are
Making Good Use of Analytics, Gaps Still Exist
Organizational structures around analytics vary and are likely
inefficient - 36.4% say that both business and IT departments
have analytic resources, but they function independently
People spend only 14.1% of their time on data analysis/mining.
They spend almost the same amount of time on requirements
gathering (13.4%), which can be error prone
Lack of skills, training, and education is the biggest factor holding
back greater use of analytics – 18.75% of respondents
There is no significant source for education on analytics – 63.6%
do not rely on any organization for ongoing education and
networking
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17. Access the Complete Survey Results
Get the complete survey results
ww2.lavastorm.com/2013-Analytical-Skills-Tools-Attitudes-Survey.html
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18. About Lavastorm Analytics
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19. Lavastorm Solves Your Analytic Challenges
Analytic Challenges
Lavastorm’s Difference
Skills
 Gives analysts the power of programmers for analytics
 High-level, visual building blocks capture analytic logic
 Visualizations and visual models help analysts present results
Data Integration
 Acquire virtually any source data – no overarching schema
 “Precise” control to profile, inspect, transform
 Automates processes, including data quality
Agility
 10x acceleration of integration and analytic projects
 Design, test, debug, and deploy in one place
Trust
 Visual models expose analytic logic, create audit trail,
building trust with managers/peers
ROI
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 Empowers users for insight discovery, decision making,
process automation
 Start small – single toolset goes from desktop to data center
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20. Questions, Next Steps
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http://www.lavastorm.com/resources/software-downloads-trials/
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