Human Resources

Companies aiming to be competitive in the long term do not see safety and productivity as trade-offs.

Most employees want to work for digitally savvy companies — and many are unhappy with their company’s digital maturity.

Here’s what it takes to lead a high-performing data science team in which team members (and their managers) are excited by what their teammates can do.

The process of managing a data science research effort can seem quite messy, in contrast to data’s aura of reason.

Intermountain Healthcare uses data and analytics to improve its health services, including lowering its infection rates.

An infographic provides highlights of MIT SMR‘s 2015 digital business report and illustrates the importance of digital maturity.

Huge, complex datasets are becoming universal. The skills needed to work with them? Not so much.

Social media is a tool that allows autistic workers to better express their unique abilities — and tech companies are taking notice.

We answer three questions about the findings in our recent Big Idea Initiative research report, “The Talent Dividend.”

It’s not enough to offer great pay and benefits anymore. Employees want their workplace to reflect and support who they are.

Being fresh for the work day requires prioritizing sleep — which organizations can do a better job encouraging.

Humanyze helps interpret social data so that businesses can identify the best collaborative practices of the most effective people.

For multinational companies, language barriers are a key obstacle to social business. Can a multilingual approach work?

It’s smart to be on good terms with former employees. Recent research highlights the upside to following competitors’ former employees, too.

Improved performance rests not upon tangible investments, but on the intangibles of workers’ perceptions.

When it comes to big data, GE avoids warehousing and instead turns to the data lake approach.

Can we automate enough of what data scientists do to ease the skills gap?

HR departments are usually overlooked in developing sustainability programs — yet their input is crucial for success.

Companies are having a tough time finding the data scientists they need — but that doesn’t mean those projects need to halt altogether.

A company that wants to successfully use analytics needs to make sure its data scientists are fully integrated into business units.