Take your HR data to the next level with Ceridian’s five-part SlideShare training series. You’ll learn today’s top data challenges and discover tools for HR data success. In Level 1, we discuss the importance of data accuracy and provide you tips on how to ensure you have reliable, accurate HR data.

1. Power Up Your HR Data
PART 1:
Ensuring Data Accuracy

2. HR professionals
live in a
world
of data.
Lots of data.

3. HR professionals
live in a
world
of data.
Lots of data.
But few HR departments
embrace the
transformative
power of this
information.

4. Becoming a
data expert
is a lot like mastering a
video game.

5. It requires
patience,
persistence,
dedication
…and lots of practice.
Becoming a
data expert
is a lot like mastering a
video game.

6. To help you
masterthe game of HR data,
we’ve put together a five-part series of
challenges.

7. To help you
masterthe game of HR data,
we’ve put together a five-part series of
challenges.
Read on to discover
the keys to
HR data
success.

8. level 1:
Ensuring Data Accuracy

9. The first challenge
of your data journey
is conquering
inconsistencies
to ensure your information is
reliable &
accurate.

10. Fact:
The majority of organizations
waste
an average of 14% of their
revenue
due to
poor data
quality.
Source: Rosslyn Analytics,
Data the Art of the Possible: How to Create Value from Your Difference Data Sources

11. STEP 1
STEP 2
STEP 3
To
power up
your data,

12. STEP 1
STEP 2
STEP 3
ACCURATE!
To
power up
your data,
Establish processes
and guidelines to
verify the data is
accurate,
precise &
useful.

13. Tackle your
data gremlins by:

14. Tackle your
data gremlins by:
Source: Bersin by Deloitte,
Five Star Data Quality: Building the Foundation for Effective Analytics
1. Eliminating data duplicates
Use data matching
tools to automatically
identify
and eliminate
redundancies.

15. Tackle your
data gremlins by:
Source: Bersin by Deloitte,
Five Star Data Quality: Building the Foundation for Effective Analytics
1. Eliminating data duplicates
Use data matching
tools to automatically
identify
and eliminate
redundancies.
2. Identifying invalid
or missing data
Develop
auto-correcting
algorithms to help you
fill in missing data.

16. Tackle your
data gremlins by:
Source: Bersin by Deloitte,
Five Star Data Quality: Building the Foundation for Effective Analytics
1. Eliminating data duplicates
Use data matching
tools to automatically
identify
and eliminate
redundancies.
2. Identifying invalid
or missing data
Develop
auto-correcting
algorithms to help you
fill in missing data.
3. Ensuring metric consistency
Use formulas or automated
calculators to ensure
consistent calculations
of headcount, turnover, retention
and other HR metrics.

17. Power Boost Download:
Data Cleaning Tips
Click here to
download this
resource.
4 Quick Tipsfor Unearthing Better HR Data

18. level 1
Data Challenge
Are you ready to
move onto the
next level?

19. Are you ready to
move onto the
next level?
To advance, you must
first demonstrate your
data knowledge.
level 1
Data Challenge

20. Data accuracy
issues are often caused by:
a. Data duplicates
B. Invalid information
C. Inconsistent metric calculations
D. All of the above

21. And the answer is…
D. All of the above.
Did you
stumble on
this question?
No worries.
Just review the
slides one more
time before
moving on.
By eliminating
data duplicates,
identifying
missing data
and ensuring metric
consistencies, you can
avoid many data accuracy
issues.

22. Congratulations!
You’ve successfully
passed
Level 1 of the
HR data challenge.
You’re now ready
to move onto
Level 2:
Integrating Data.
Click here to continue
your journey.

23. www.ceridian.com
©2015 Ceridian HCM, Inc. All rights reserved. 114542-100