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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 FREE CHAPTER
2. Introduction
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

Attribute Creation

What exactly do I mean by “data manipulation?” I’m not talking about altering the original data. I’m talking about a transformation of the original data into something new and more meaningful. Specifically, it means using one or more fields and one or more rows of data to create a new aggregated attribute of some kind.

There are lots of different types of attributes. They can be quantitative, such as counting how many times something has happened. An example would be the number of absences in the last 6 months. Attributes can also be qualitative. For instance, sentiment analysis could produce a measure indicating whether a person was happy or not.

Predictive analytics can also be thought of as data manipulation. Dictionary.com says that a predictor is “a formula for determining additional values or derivatives of a function from the relationship of its given values.”10 In other words, predictive analytics are simply...

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