Welcome to the latest edition of our ‘Most Trending Articles’ of 2018! Here at the Analytics in HR headquarter we’ve been experiencing some intense heatwaves in the past few weeks. To keep this weather bearable, we’ve gathered the top 5 articles of July that you can enjoy reading in the shade. Happy reading!
We’re starting this edition off with an excellent article written by Mike West. We love articles that go in-depth on a particular topic and really showcases its practical use.
This time, Mike West talks about “models”. He understands how the word “model” may mean something different to different people in different contexts. You may have used the word in your own work, but do you really know what it means in different contexts? In his article, Mike West explains what models are and how they should be used. He doesn’t stop there, however. He also explains the limitations and benefits of models and how you should use one. He even explains how different models fit inside the framework of Lean People Analytics.
It’s a great, in-depth article on a topic everyone can learn from, and I highly recommend that you read it. You can read the entire article here.
#4: What is data science? A method for turning data into value
“The amount of data you can grab, if you want, is immense, but if you’re not doing anything with it, turning it into something interesting, what good is it? Data science is about giving that data a purpose.”
Adam Hunt, chief data scientist at RiskIQ.
Data science has been increasingly more common since 2014 and more and more people are looking into joining this exciting field.
In his article, Thor Olavsrud explains what data science is and how it differs from other common HR Analytics concepts, such as data analytics and big data. There’s a lot of value to be had from using data science, but it can be tricky to successfully implement it within your organization. Thor Olavsrud solves this issue by explaining how you should organize your data science teams, how to embed data science within your organization, and how to give data scientists clear goals and deliverables.
Moreover, if you’re looking into becoming a data scientist yourself, Thor Olavrus showcases some of the key skills recruiters are looking for when selecting a data scientist.
It’s a great article if you’re interested in data science and/or becoming a data scientist yourself. Read the entire article here.
A lot of companies struggle with measuring employee engagement the right way. The biggest challenge to measuring employee engagement is its lack of a unified definition. Think about it: Is employee engagement about having meaningful work, or being absorbed in your work, or feeling happy, or being energized, or all of them? It’s a difficult question to answer.
In his article, Erik van Vulpen explains the various ways you can measure employee engagement in an organization. These are:
- Having engagement measured by an employee engagement survey provider;
- Measuring employee engagement yourself;
- A hybrid approach in which annual engagement is measured by the survey provider while pulse engagement is measured by the company throughout the year.
The big question is: Which surveys should and which shouldn’t you use? The article discusses the most valid questionnaires out there and discusses their pros and cons.
Check out the article if you want to know more about how to utilize employee engagement surveys.
With the launch of our latest masterclass on Organizational Network Analysis, we’ve seen the amount of interest companies have in finding out more about the intricacies of their networks within their company. Especially with people now working from home more and more often, and the emergence of more horizontal hierarchical structures, companies are desperately trying to gain a grasp on their workforce and how to influence better teamwork.
The Economist has written a great piece on how you can rethink teams and teamwork. Erica Volini, the human capital leader of Deloitte, says:
“More work is being done through networks of teams, meaning not up-and-down the hierarchy, but across the organizational matrix via teams forming at a given time, which form organically.”
How these changes impact work performance is explained in-depth, with some insightful stats to support their arguments. Check out their article (with some great animations to boot) here.
Mike West has been hard at work this month. This month, he’s not just featured once on this list, but twice! With this brilliant article on making a business case for people analytics at your company, Mike West rightfully claims the #1 spot on this list.
Mike West explains various things you have to keep in mind when creating a business case. These are:
- The seven rules of the business case
- How to get started with the business case
- How to conduct problem/stakeholder/employee interviews
- How to present your business case
It’s a lengthy article, but it’s filled to the brim with useful insights and handy templates that you can use in your own organization. So grab an ice cream, and read his entire article here.