data + people
sharing the journey of People Analytics
the latest
fake data – FATA
Generating a fake data set gives you the ability to securely share not only your code, but the data that you used in your analysis.
GDPR: Use only the data you need
As the dust on GDPR has settled, the conflict grows as to the balance of finding insights while maintaining data privacy. Martin Fowler writes about Datensparsamkeit which he loosely defines as "data frugality". Anyone who's already dealt with privacy laws in Germany...
5 more reasons not to use Excel for People Analytics
Chief Financial Officers are now demanding their teams stop using Excel. While your C-level executives may not be demanding this of you, there are very good reasons to consider alternatives. If Finance is ready to abandon Excel, HR should certainly make the jump....
HR Data Isn’t Big Data
HR Data is just the right size Whatever data you have is the data you can work with. If you're at the beginning or early arc of your Analytics Journey, you've enough data, enough for even some of the more advanced analytics. Getting your hands on it, cleaning it, and...
data+people 2019 objectives
An HR-geared site should have some objectives right? For the year, we've lofty goals to kick out and share into the world of people analytics. First up will be a push to build out the initial round of machine learning posts. A step-by-step approach to building your...
Beginner’s Guide: Python for Analytics | Seaborn
Beginner's Guide to Using Python with HR Data | Exploration Series Part Three - Seaborn In this first tutorial series, I’m exploring the IBM HR Attrition and Performance data set. This is a great data set used to demonstrate the possibilities from using machine...