2016 CHRO Data Workforce Planning 
Visier
MARCH 7, 2017
But these systems — while they generate lots of data — are capable of not much more than operational reporting. These transactional systems cannot effectively answer strategic workforce questions, connect workforce decisions to business outcomes , or support future modeling and projections. This attempt also failed.
HR Examiner
NOVEMBER 17, 2020
We’re finishing up the series today in part four with the data from the 90-day study where we racked up 450+ hours watching demos, asking questions, and working to understand the business model and technical approach of 110 companies. The breakdown of participants looks like: CHRO and Vice President of HR: 30%. Recruiting (Data).
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HR Digest
SEPTEMBER 20, 2022
We’ll highlight the use of data in optimizing employee experience, the importance of people analytics in creating a better organizational structure, real-world insights from interviews with HR leaders on how to win with people analytics and people analytics tools for HR to maximize business impact. How to use data in people analytics?
HRExecutive
DECEMBER 5, 2018
“Here, CDOs and CHROs should work hand-in-hand to make sure the organization attracts the right kind of talent and upskills existing talent in relevant ways to make the most of digitization,” she says. Many companies have a lot of work to do in terms of workforce planning, and use of data and digital are big parts of that.
Visier
MAY 5, 2016
Getting to a fact-based and business-oriented mindset is critical for HR — 80% of executives say their company could not succeed without an assertive, data-driven CHRO, who takes a strong stance on talent issues and uses relevant facts to deliver an informed point of view. Why Data is the Key to Strategic HR Decisions.
HR Digest
JULY 29, 2020
They include: people, data-driven analytical decision-making, and showing how their actions directly impact strategic goals at the end of the day. Historically, HR executives and practitioners have faced insurmountable challenges from lack of data.
Visier
JANUARY 21, 2016
They are particularly powerful in scenarios where the path to business impact is less obvious, and so we often see them in process-heavy or data-heavy disciplines. Many that have graduated from metrics to analytics use it very simplistically, often to respond to one-off data requests such as “how many employees were hired last month?”
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