Your CEO just came to you, the HR leader, and said she was hearing rumors about the turnover rate going up. She asks you why this might be happening and how it is could be affecting the bottom line. Are there certain leadership issues? Are engagement levels changing? Is there a problem with the company culture? These are all logical questions. You have hunches for answers, but you have no way to prove those hunches. You know your CEO is going to want data to support any argument you make.
You are sure that the answers to her questions are buried in the employee data collected in the different HR systems you have. You have been reading about "HR analytics", and you wonder how you would answer her question differently if you really understood the data about your people.
Quantifiably Better provides a path to follow in search of these answers. It will help you if you are just getting started with your HR analytics initiative, or if you are looking for ways to expand your existing HR analytics practice. In the end, you will find that the insights you desperately seek are easier to find than you ever imagined.

nexusstc/Quantifiably Better: Delivering Human Resource (HR) Analytics from Start to Finish/a9ac030435e20a7539b3ad05f35b44ca.pdf

lgrsnf/9781634622219---a9ac030435e20a7539b3ad05f35b44ca.pdf

VanWieren, Steve

Zamzar

United States, United States of America

First, 2017

lg3042828

producers:
Zamzar

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Acknowledgements 6
Introduction 7
CHAPTER 1 One Less Thing 11
Do Whatever it Takes 12
Feeding Yourself Smartly 13
The DATA-INSIGHT-ACTION Cycle 13
It Works for All Kinds of Problems 17
Failure to Communicate 19
Don’t Overthink It 20
CHAPTER 2 Understanding Your Data: The Seven C’s 22
The Seven C’s 22
The First of the Seven C’s - Certainty 23
The Second of the Seven C’s - Coverage 24
The Third of the Seven C’s - Completeness 25
The Fourth of the Seven C’s - Consistency 26
The Fifth of the Seven C’s - Currency 27
The Sixth of the Seven C’s - Commonality 28
The Seventh of the Seven C’s - Chance 30
Creating a Data Quality Scorecard or Dashboard 31
CHAPTER 3 Manipulating Your Data: Put Your Stake in the Ground 34
Attribute Creation 35
Take Your Data Knowledge to the Next Level 37
Another Detailed Example 37
The Shockingly Complex Example of Tenure 39
CHAPTER 4 Monitoring Your Data: Follow Everything 41
Managing Analysis Paralysis 41
When Data Crosses a Control Limit 43
Turning Data into Smart Data 47
The HR GPS System 47
Data Without Insight 49
CHAPTER 5 Preparing For Action: The Data and Analytics Maturity Model 51
Learning the Ropes 53
Success Leaves Clues 54
Daily Change for Success 55
CHAPTER 6 Purpose-Driven Analytics: Understanding Motivators 59
Employee Engagement and Turnover 60
Employee Motivators 65
CHAPTER 7 Experimenting with Action: The ITEM Model 69
Improving and Reinventing Leadership 70
The ITEM Model 72
An Example in Reducing Turnover 75
CHAPTER 8 Watch Out For These Things 81
Show Only the Things You Need 81
Turn Small Stuff into Big Stuff 82
Passion and Incentives 83
The Shiny Car Scenario 84
Setting Goals for Others 85
CHAPTER 9 Everything Can Be Quantifiably Better 87
The Project Plan 89
References 95
Index 99

2021-06-30