To see the full webinar visit: https://www.analyticsinhr.com/hr-analytics-webinars/.
The Introduction to HR Analytics Webinar.
Analytics in HR is the leading blog about HR analytics. These slides are part of a webinar, which can watch at https://www.analyticsinhr.com/hr-analytics-webinars/
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?
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
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
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
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