By: Samantha Rhoads & Michael Cortes[1]
The COVID-19 pandemic has put a spotlight on statistical terms often unfamiliar to anyone but such professionals as statisticians and data scientists. Terminology such as infection rates, “flattening the curve,” and related statistical information are now being used as slogans and hashtags. This post offers a brief explanation
Check out our Winter 2020 Class Action Trends Report. Our quarterly report discusses new developments in class action litigation and offers strategic guidance and tactical tips on how to defend such claims. This issue covers using data analytics. Read it here.
As employers seek to make increasingly efficient and “better” hiring decisions, avoid biases, and increase workforce diversity, they are turning to, or considering, a growing range of technological tools. Essentially, these tools help employers efficiently identify qualified candidates, narrow the pool of job seekers, and predict who may be the “best” hire. As is often
The Equal Employment Opportunity Commission (EEOC) has established the Office of Enterprise Data and Analytics (OEDA) to “provide [their] customers timely, accurate, and bias-free data and information to prevent and remedy unlawful employment discrimination, and improve organizational performance.” EEOC Director and Chief Data Officer Samuel C. “Chris” Haffer leads the OEDA.
This is an exciting
As if you don’t have enough on your plate already. You just heard in the lunchroom that your Chief Diversity Officer is making a presentation to a trade group on the company’s workforce demographics. Should you care?
An often-overlooked area of data analytics is in a company’s diversity office. I say “overlooked” because some diversity
Pay equity between men and women – and among different races – has long been a concern for employers who want to ensure they are paying people according to job-related reasons, in compliance with anti-discrimination laws, and in a way that aligns with the organization’s practices and philosophies. In the midst of the #MeToo and
As the Eagles readied to celebrate the franchise’s first Vince Lombardi trophy, an unlikely candidate basked in the glow of being declared the game’s Most Valuable Player. Surely it was Nick Foles who, on his way to upsetting one of the NFL’s elite franchises threw and caught a touchdown in the same big game, was
Using talent-finder software to simplify hiring decisions is all the rage. Hiring managers across the country love the idea that one of their most difficult tasks – hiring – can now done through software. So, what is good and what is risky when using these new hiring tools to evaluate talent?
Many job applicants today
Should data analytics be used as a tool to uncover new insights from company data, or should it be used to answer or solve a specific business inquiry or problem? This question is central to any analytics project design. But like most important questions, the answer depends on several factors and is not altogether clear.
Recently, we presented a program at a well-known analytics conference and set up an informational booth to meet attendees. Several attendees, most of whom were data scientists, approached our booth with inquisitive looks on their faces and asked, “Why is a law firm at an analytics conference?” Good question.
We explained that Jackson Lewis, as