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Quantifiably Better: Delivering HR Analytics from Start to Finish

You're reading from   Quantifiably Better: Delivering HR Analytics from Start to Finish Delivering Human Resource (HR) Analytics from Start to Finish

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Product type Paperback
Published in Feb 2017
Publisher
ISBN-13 9781634622219
Length 126 pages
Edition 1st Edition
Languages
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Author (1):
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Steve VanWieren Steve VanWieren
Author Profile Icon Steve VanWieren
Steve VanWieren
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Table of Contents (13) Chapters Close

1. Acknowledgements
2. Introduction FREE CHAPTER
3. CHAPTER 1 One Less Thing 4. CHAPTER 2 Understanding Your Data: The Seven C’s 5. CHAPTER 3 Manipulating Your Data: Put Your Stake in the Ground 6. CHAPTER 4 Monitoring Your Data: Follow Everything 7. CHAPTER 5 Preparing For Action: The Data and Analytics Maturity Model 8. CHAPTER 6 Purpose-Driven Analytics: Understanding Motivators 9. CHAPTER 7 Experimenting with Action: The ITEM Model 10. CHAPTER 8 Watch Out For These Things 11. CHAPTER 9 Everything Can Be Quantifiably Better 12. References
13. Index

The Fourth of the Seven C’s - Consistency

Consistency is a measure of how stable your data is. To measure this, you need data across different points in time.

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Consistency is important, since measuring unstable things will only lead to unstable recommendations. Employee Engagement surveys provide good examples of the importance of consistency. If you ask the exact same questions to your employees every so often, the results you get back will be consistent, so you can most likely use the results to compare one time period to another. But if you re-word things, or make attempts to add new things, then you will likely be making decisions based on inconsistent data.

For example, suppose in one Employee Engagement survey, you ask for the employee to fill in their age by selecting from age bands (ex. 20-30, 30-40, 40-50, 50+). In your follow up survey, you change the way you ask, opting for larger bands (20-35, 35-50, 50-65, 65+). The way the data was collected was inconsistent...

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