1.
Creating a Data-Driven
Organization:
Carl Anderson
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an executive summary

2.
Why data-driven?
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3.
5%more productive
Controlling for other factors, data-driven orgs are
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4.
Having lots of reports does not make you data-driven.
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5.
Having a hadoop cluster does not make you data-driven.
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6.
Data-driven requires a data culture
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7.
a strong testing culture
Being data-driven means having…
Innovate through online and offline experimentation.
Encourage hypothesis generation broadly across org.
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8.
an open, sharing culture
Being data-driven means having…
No data hoarding or silos. Bring data together
to create rich contexts. Connect the dots.
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9.
a self service culture
Being data-driven means having…
Business units have necessary data access as well as within-
team analytical skills to drive insights, actions, and impact.
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10.
a broad data literacy
Being data-driven means having…
All decision-makers have appropriate skills to use and interpret data.
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11.
an objective, inquisitive culture
Being data-driven means having…
“Do you have data to back that up?” should be a question that no one
is afraid to ask and everyone is prepared to answer—Julie Arsenault.
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12.
a visible, clearly-articulated strategy
Being data-driven means having…
Commonly understood vision. Suite of well-designed, accessible
KPIs. All staff understand how their work ties back to these metrics.
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13.
strong data leadership
Being data-driven means having…
A head of data to evangelize data as strategic asset with
budget, team, and influence to drive cultural change.
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14.
but bottom up too
Change should not just be top-down
Everyone in org has role and responsibility through “leveling up” their
data skills, mutual mentoring, and embedding data into their processes.
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15.
blindly following data.
Being data-driven doesn’t mean
Augment decision makers with objective, trustworthy, and relevant data.
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16.
using data to effect impact and results
Ultimately, data-driven means
Push data through “analytics value chain” from collection, analysis,
decisions, action, and finally to impact. Partway along chain doesn’t count.
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17.
Want to find out more?
There’s lots more detail and practical information in the book including
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• how to design metrics
• how to prioritize data source collection
• best practices of A/B testing
and broader topics such as
• decision making
• organizational structure
• privacy, ethics, and risk

18.
http://shop.oreilly.com/
@leapingllamas | www.p-value.infoCopyright © 2015 Carl Anderson