The risks and benfits of using analytics

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Ecosystems and Analytics

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Goals
• Definition of Analytics
• Impact of Ecosystems on Analytics
• Why Analytics/Metrics Can and Do Go Wrong
• How To Consider Metrics/Analytics Projects
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Sound Familiar?
In 2016, expect to see companies begin the titanic shift from simplistic,
periodic data collection based on multiple-choice surveys, to
demanding technology to uncover meaningful signals in real-time that
can both predict and proactively improve employee engagement,
productivity, and satisfaction.
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It might be a little further out than the forecasts suggest.

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Things Have Changed
• Data Used to Be Expensive
• Now It’s Cheap
• We Used to Go: hypothesis first
• Now We Go: hypothesis second
• Today, we find the hypothesis in the data
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Analytics Are Immature Metrics
Data Knowledge Insight Wisdom
Data Hypothesis Analytics Metrics
Data Questions
Better
Questions
Monitoring
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Analytics is the discovery and communication of meaningful patterns in data.

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There Are No Permanent Metrics
 The value of a data model is inversely proportional to the number of ad hoc reports
 The value of an analytic depends on stable context.
 Analysis is a lens. Analytics are one view.
 The result of an analytic is action. The result of action is changed data.
 Changed data creates new opportunities for improvement.
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All Tools Wear Out
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Good Data is Dirty
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Closed Systems are Easier
Closed Systems are Impossible to Keep Closed
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Stable Context

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Ecosystem
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diverse sets of creatures participating symbiotically in
a system that exhibits probabilistic tendencies

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Ecosystems
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Coral Is An Animal
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Coral Is A System
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Inside and Out
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• HR is Becoming Outward Facing
• Data Sources
– Internal
– Ecosystem
– External
• Examples
– Ecosystem Talent Management
– Ecosystem as Talent Buffer
– Pay and Benefits Equalization

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The Sum Of All Transactions
Σ xactions ≤ the whole
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The Cobra Story
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Measurement is not an action, it’s an input

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You Always Get What You Expect
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The Hunt For Insight
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Knowing When To Go Down A Rabbit Hole

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Key Principles
1. Study Cognitive Bias http://ow.ly/YjWMC
2. Practice Finding Insights In Opaque Data
3. Manage Unintended Consequences http://ow.ly/YjXal
4. Know When To Go Down Rabbit Holes
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