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AN INTRODUCTION TO
HR ANALYTICS
Analytics in HR
Data Analyst & Founder AnalyticsinHR.com
Blogs – (e)Book – Consultancy – Courses
We analyze people data and help companies develop their own in-house HR analytics
function
Erik van Vulpen
WHAT IS HR ANALYTICS?
HR Analytics is about Identifying and Quantifying
the Human Drivers of Business outcomes
Making better decisions using HR data
QUESTIONS HR ANALYTICS CAN ANSWER
Recruitment: Which candidate will performer best?
Turnover: Who is at risk of leaving?
Performance management: What are the three
most important drivers of sales performance?
SWP: Which departments are over/understaffed?
L&D: Should I opt for training A or training B?
Recruitment
-37%
-65%
-48%
-41%
21% 22%
-70%
-60%
-50%
-40%
-30%
-20%
-10%
0%
10%
20%
30%
Absence Turnover Incidents Defects Productivity Profit
Average -37% -65% -48% -41% 21% 22%
IMPACT OF ENGAGEMENT
Gallup, 2012
BEST BUY
Y1: 0,1%. -> Y2: $100 000
in
sales PER SHOP
HBR, 2010
Every analytics journey starts with a relevant business
question or problem.
question
data
cleaning
data
selection
data
analysis
actionable
insights
#startsmall
ASK THE RIGHT QUESTION
WHAT NOT TO DO…
•Don’t be too ambitious
•Don’t focus too much on data
•Don’t focus too much on data governance
•Don’t focus too much on predictive analytics
HOW TO GET STARTED
•Knowledge
•Talk to the business
•Work with data experts
•Loop in compliance/legal
•Start small
These slides are part of a webinar
which can watch here.

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What is HR analytics? An Introduction

  • 2. Analytics in HR Data Analyst & Founder AnalyticsinHR.com Blogs – (e)Book – Consultancy – Courses We analyze people data and help companies develop their own in-house HR analytics function Erik van Vulpen
  • 3. WHAT IS HR ANALYTICS? HR Analytics is about Identifying and Quantifying the Human Drivers of Business outcomes Making better decisions using HR data
  • 4. QUESTIONS HR ANALYTICS CAN ANSWER Recruitment: Which candidate will performer best? Turnover: Who is at risk of leaving? Performance management: What are the three most important drivers of sales performance? SWP: Which departments are over/understaffed? L&D: Should I opt for training A or training B?
  • 6. -37% -65% -48% -41% 21% 22% -70% -60% -50% -40% -30% -20% -10% 0% 10% 20% 30% Absence Turnover Incidents Defects Productivity Profit Average -37% -65% -48% -41% 21% 22% IMPACT OF ENGAGEMENT Gallup, 2012
  • 7. BEST BUY Y1: 0,1%. -> Y2: $100 000 in sales PER SHOP HBR, 2010
  • 8. Every analytics journey starts with a relevant business question or problem. question data cleaning data selection data analysis actionable insights #startsmall ASK THE RIGHT QUESTION
  • 9. WHAT NOT TO DO… •Don’t be too ambitious •Don’t focus too much on data •Don’t focus too much on data governance •Don’t focus too much on predictive analytics
  • 10. HOW TO GET STARTED •Knowledge •Talk to the business •Work with data experts •Loop in compliance/legal •Start small
  • 11. These slides are part of a webinar which can watch here.

Notes de l'éditeur

  1. http://www.gallup.com/businessjournal/163130/employee-engagement-drives-growth.aspx
  2. During the highly selective trainings, the U.S. Special Forces predict which candidates are most likely to succeed. Two key predictors are ‘grit’ and the ability to do more than 80 pushups. Grit proved a more accurate predictor of training success than IQ.   Another example: Wikipedia editors, or Wikipedians, create and edit articles to keep the world’s largest encyclopedia up-to-date. Each day, over 800 new pages are created and 3,000 edits are made on the English Wikipedia alone. Wikipedia is able to predict who of its 750,000 editors is most likely to stop contributing. I am not sure how Wikipedia acts on this information, but I think  Isnt checked
  3. During the highly selective trainings, the U.S. Special Forces predict which candidates are most likely to succeed. Two key predictors are ‘grit’ and the ability to do more than 80 pushups. Grit proved a more accurate predictor of training success than IQ.   Another example: Wikipedia editors, or Wikipedians, create and edit articles to keep the world’s largest encyclopedia up-to-date. Each day, over 800 new pages are created and 3,000 edits are made on the English Wikipedia alone. Wikipedia is able to predict who of its 750,000 editors is most likely to stop contributing. I am not sure how Wikipedia acts on this information, but I think  Isnt checked
  4. During the highly selective trainings, the U.S. Special Forces predict which candidates are most likely to succeed. Two key predictors are ‘grit’ and the ability to do more than 80 pushups. Grit proved a more accurate predictor of training success than IQ.   Another example: Wikipedia editors, or Wikipedians, create and edit articles to keep the world’s largest encyclopedia up-to-date. Each day, over 800 new pages are created and 3,000 edits are made on the English Wikipedia alone. Wikipedia is able to predict who of its 750,000 editors is most likely to stop contributing. I am not sure how Wikipedia acts on this information, but I think  Isnt checked