Avoid these common pitfalls to ensure the successful implementation of people analytics.

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What Not To Do in People Analytics ©Pixentia. All rights reserved.
What Not To Do in
People Analytics

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What Not To Do in People Analytics ©Pixentia. All rights reserved.
When executed well people, analytics can
provide valuable insights to guide decision
making that improves employee
performance and business results.
Avoid these nine common pitfalls, and you
will be well on your way to ensuring a
favourable outcome.
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What Not To Do in People Analytics ©Pixentia. All rights reserved.
1. Don’t wing it.
Be intentional. Focus on getting
answers to specific business questions.
Your strategy should begin with
identifying a specific business problem
you need to solve.
Consider your pain points. They are a
good starting point.
Your questions will help determine
the specific analyses that are best
suited to the inquiry.
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What Not To Do in People Analytics

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What Not To Do in People Analytics ©Pixentia. All rights reserved.
2. Don’t be inflexible.
Adopt an agile methodology where you
continually assess, revise, and improve
your strategy.
if the output isn’t accurate or helpful,
it no longer suits your purpose.

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What Not To Do in People Analytics ©Pixentia. All rights reserved.
3. Don’t confuse correlation
with causation.
A significant relationship between two
variables doesn’t automatically prove
causality. A change in one may not
cause a change in the other.
Instead of making assumptions
ensure you drill down into the data
to verify relationships.
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What Not To Do in People Analytics

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What Not To Do in People Analytics ©Pixentia. All rights reserved.
4. Don’t generalize.
A relationship between two variables in one
area of the business will not necessarily
hold true for another area.
For example, operating conditions may vary
for different branches of a store as different
locations have different levels of
competition, volume of customers etc.
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What Not To Do in People Analytics ©Pixentia. All rights reserved.
5. Don’t ignore outliers.
An outlier is a statistical anomaly
or atypical specimen.
They can be an indication that you need to
take a closer look at the data since they
can be caused by three things:
Inaccurate data
A variable only affecting certain datasets.
Correlation between two variables instead of causation.

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What Not To Do in People Analytics ©Pixentia. All rights reserved.
6. Don’t neglect data cleansing.
Data cleansing ensures that your data is:
Up-to-date
and relevant
Complete Free of
duplications
Free of errors Valid Reliable

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What Not To Do in People Analytics ©Pixentia. All rights reserved.
7. Don’t ignore or
downplay privacy
Data governance is critical.
Compliance with privacy regulations such as
GDPR is critical to maintaining company
reputation and managing risk.
How you handle private and personal data
belonging to employees, customers and suppliers
will affect trust . Such sensitive data must be
handled securely with restricted access.
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What Not To Do in People Analytics

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What Not To Do in People Analytics ©Pixentia. All rights reserved.
8. Don’t stop at reporting.
Gathering and analysing
the data is just the first step.
A report is useless if it
doesn’t tell a story with a
natural progression that
prompts action.
Data that isn’t transformed
into actionable insight is
the same as no data at all.

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What Not To Do in People Analytics ©Pixentia. All rights reserved.
9. Don’t blindly trust the data.
Healthy scepticism will
help identify potential blind
spots and biases
It will help leaders think
beyond limiting frames of
reference.
Always question the data
to differentiate between
useful and flawed
analyses, and to determine
its strength.

12. Pixentia creates innovative technology solutions that enable
our clients to delight their customers, grow revenue, improve
the bottom line, and develop better workforces.
www.pixentia.com
Call us for a consultation
Pixentia can help you create a people
analytics strategy that propels your
organization forward.
+1 (855) 978-6816 info@pixentia.com
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