an introduction to hr analytics

17
HR Analytics and Everything you wanted to know about

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human resource analytics is a new and fast growing industry. This presentation tries to introduce the reader to a few terms.

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Page 1: An introduction to HR analytics

HR Analytics

and Everything you wanted to know about

Page 2: An introduction to HR analytics

Organizational Analytics

Marketing Analytics

Financial Analytics

Operations Analytics

HR Analytics ?

Page 3: An introduction to HR analytics

HR Analytics

drawback of spreadsheetshttp://blog.revolutionanalytics.com/2012/11/using-r-in-the-human-resources-department.html

There is a lot of data out there and it’s stored in different formats. Spreadsheets have their uses

but they’re limited in what they can do. The spreadsheet is bad when getting over 5000 or 10000 rows

– it slows down. It’s just not designed for that. It was designed for much higher levels of interaction.

drawback of traditional modes

BUT ----HR Team is rarely trained in analytics

Page 4: An introduction to HR analytics

HR Analytics

sourcing

performance& compensation

attrition

Page 5: An introduction to HR analytics

HR Analytics

sourcing he use of assessment tools to “pre-assess” a candidate’s potential to be successful within a specific role within the organization. These tools are already providing a “predictive” look at the candidate skills and abilities by modeling their responses against the best scenario for success

http://www.sas.com/knowledge-exchange/business-analytics/innovation/analytics-creates-a-healthier-workforce-%E2%80%A6-and-bottom-line

Page 7: An introduction to HR analytics

HR Analyticsattrition also known as Predictive Retention Modelinghttp://www.hrintelligenceblog.com/en/?p=658

Track and analyze critical skills, and predict which skills will be lost and when by predicting turnover.

Page 9: An introduction to HR analytics

HR AnalyticsHR Analytics:

Driving Return on Human Capital

Investment

http://www.oracle.com/us/solutions/ent-performance-bi/045039.pdf

Studies show that

companies that use

HR analytics have:● 8% higher sales growth● 24% higher net operating income growth● 58% higher sales per employee

Page 10: An introduction to HR analytics

Case Studies

Trendwise Analytics -Banglore Indiahttp://www.slideshare.net/TrendwiseAnalytics/trendwise-hr-analytics

Page 11: An introduction to HR analytics

Case Studies

Google - Project Oxygenhttp://www.nytimes.com/2011/03/13/business/13hire.html?_r=0

1. Be a good coach.

2. Empower; don't micromanage.

3. Be interested in direct reports, success and well-being.

4. Don't be a sissy: Be productive and results-oriented.

5. Be a good communicator and listen to your team.

6. Help your employees with career development.

7. Have a clear vision and strategy for the team.

8. Have key technical skills so you can advise the team.

Page 12: An introduction to HR analytics

Case Studies

Google - HRan HBR Case Study

http://hbr.org/product/google-s-project-oxygen-do-managers-matter/an/313110-PDF-ENG

and

http://www.forbes.com/sites/meghancasserly/2013/07/17/google-management-is-evil-harvard-study-startups/

People Analytics @ Google

http://www.amcham.ie/download/Helen%20Tynan%20AmCham%20talk%2031102013%20(1)%20(1).pdf

http://googleresearch.blogspot.in/2012/06/hello-sciencemeet-hr.html

Google People and Innovation Lab (Google Pi Lab)

Page 13: An introduction to HR analytics

Additional Linkshttps://www.nordlab.co/pages/people_lab

Page 14: An introduction to HR analytics

Case Studies

Using R in the HRhttp://blog.revolutionanalytics.com/2012/11/using-r-in-the-human-resources-department.html

R gets over the limitations of spreadsheets:

In the business world we really don’t need to know every row of data, we need to summarise it, we need to visualise it and put it into a powerpoint to show to colleagues or clients.

http://blog.hrtecheurope.com/2012/08/more-r-in-hr/

The great thing about R is that it cuts down the software budget to zero, and with GUIs cut down training to weeks. You can quickly move from spreadsheet world to being able to build models and predicting outcomes.

Page 15: An introduction to HR analytics

Analytics Techniques Used (mostly)

Decision Trees - for segmentationhttp://www.statmethods.net/advstats/cart.html

Regression -attritionhttp://www.statmethods.net/stats/regression.html

Data Visualization -

including spatial and interactive

Trend , Outlier and Patterns (TOP)

Page 16: An introduction to HR analytics

From a Google HR ppt Googled

Thanks

Page 17: An introduction to HR analytics

Thanks

compiled by Decisionstats

contact https://www.linkedin.com/in/ajayohri