People Analytics

Replace gut-feelings with data-driven decision making

Leading companies use talent analytics to support a data-driven decision-making culture. Compare multiple dimensions of talent data and organizational data to see the impact talent solutions have on the organization. Understand how to collect meaningful information, drill down into critical data, and summarize findings to support your next talent decisions.

Analytics for Talent Management (ATM) Certification

Leverage data and people analytics to optimize talent management practices

Become a true strategic partner by learning to effectively navigate the world of data and analytics and connect talent management initiatives to bottom-line business impact.

Learn More

Learn More about People Analytics with our Top Resources

InfographicInfographic

7 Habits of Bad Talent Selection

February 1, 2017 | OutMatch

A habit is a routine behavior that happens almost thoughtlessly. But routine and thoughtless are NOT words that should describe your hiring process. You want to do more than go through the motions, or follow a process simply because it's been ...

Read more
White PaperWhite Paper

Gaining the Leadership Advantage

January 28, 2017 | OutMatch

The leadership advantage is all about knowing and levering what great leaders do best. They excel at aligning their team around a common vision and achieving results through others.

But not all employees, even your star performers, are ready ...

Read more
White PaperWhite Paper

8 Hiring Metrics You Should Be Measuring

January 26, 2017 | OutMatch

If you had unlimited resources, you could crunch a gazillion data points and know everything there is to know about your hiring and onboarding process. But that’s kind of like saying if you won the lottery, you could buy your own island. If ...

Read more
White PaperWhite Paper

Top Trends for HR: Get Agile & Innovative in 2017

January 16, 2017 | OutMatch

A new year means new goals, for your HR team and your business. As we look ahead to 2017, we’re watching for trendsetters who have already done the heavy lifting—so you don’t have to!

Get more agile and innovative (without ...

Read more
Blogbell curve gaussian distribution

Everything We Knew about the Bell Curve Is WRONG!

December 20, 2016 | Ankita Poddar | HCI

The Gaussian distribution aka the bell curve has unwittingly become the most important mathematical function for HR professionals around the world. It stars in one of the most important HR processes – performance management; and consequently goes on to determine compensation. However, in recent time, more and more organizations have begun to question Gaussian’s presence at the workplace. Meanwhile, there has been an elder brother hiding behind the curtains who is finally ready to steal Gaussian’s limelight.

Analytics for Talent Management (ATM) Certification

Enroll Now: Analytics for Talent Management Certification Program

HCI’s Analytics for Talent Management course addresses the most common challenge faced by HR leaders when it comes to data and analytics—HR departments lack the skillsets necessary to truly leverage data to make decisions. This 2-day interactive training will arm you with the terminology, skills and knowledge necessary to turn data into a compelling narrative and handle common objections to HR data findings.

In-Person Classes

Chicago, IL
Jun 3-4, 2019 | 9:00AM-5:00PM CDT
Register
Washington, DC
Jul 10-11, 2019 | 9:00AM-5:00PM EDT
Register
Hong Kong
Jul 15-16, 2019 | 9:00AM-5:00PM HKT (Asia/Hong_Kong)
Register
New York, NY
Aug 28-29, 2019 | 9:00AM-5:00PM EDT
Register
Atlanta, GA
Sep 5-6, 2019 | 9:00AM-5:00PM EDT
Register

Online Classes

June
Jun 19-20, 2019 | 11:45AM-8:00PM EDT
Register
July
Jul 8-9, 2019 | 8:45AM-5:00PM EDT
Register
August
Aug 5-6, 2019 | 8:45AM-5:00PM EDT
Register
September
Sep 4-5, 2019 | 11:45AM-8:00PM EDT
Register
See full course schedule...
Analytics for Talent Management (ATM) Certification

Become a true strategic partner.

Learn how to leverage data and analytics to make strategic talent decisions.

Learn More