Four For Friday: Gaining Insights From Analytics

Four For Friday: Gaining Insights From Analytics

Michael Altiero

For many companies that are embracing data, gathering and collecting it is not the problem. Where companies tend to falter is figuring out what to do with the data once it is collected. And this problem is one that is halting many organizations from truly becoming data-driven.

Being able to take actions and gain insights from the data you collect is the key to seeing the ROI from your data initiatives. Without this ability, your data strategy is doomed to fail, no matter how good the data is. This week’s Four For Friday takes a look at how your team can start gaining insights from all that data you have at your fingertips.

How to Turn Big Data into Insights and Action (Bernard Marr)

“Too many organizations are focused on simply collecting as much data as they can rather than on how useful that data is. This is a big mistake,” says Bernard Marr. So how can companies use the data they are collecting to its fullest potential? Bernard says by turning data into insights and actions. Learn more in his post on the Data-Informed blog.

Set A high-Performance Team Using HR Analytics (Philip Reschke Company)

For many businesses today, putting together cross-organizational teams to accomplish important tasks is common. But how can organizations make sure they put together the best possible team? According to this post from the Philip Reschke Company, the answer is with HR analytics. “Analytics adds increasing value to many areas of the organization, and human capital optimization is just one of them.”

4 Steps To Make Campus Recruitment A More Data-Driven Program (ERE)

University recruitment is an important part of talent acquisition for many companies, both large and small. So how can companies improve their strategies? By becoming data-driven in their recruiting efforts. This article provides four steps to help your organization become more data-driven in your campus recruiting strategy:

  1. Standardize Essential Candidate Information
  2. Structure Your Database for the Machine Learning Revolution
  3. Aggregate Recruiting Event Success Metrics
  4. Measure the Long-term Candidate Lifecycle

Learn more about each step in this post on the ERE blog.

From The Vault: Who Owns Data (John Sumser)

“The ownership of data depends on what the data is, how it was generated, what devices were used, where it came from, and whether it is attributable to a person or thing. It depends on existing legal ideas, and ones that have not been developed yet,” says John Sumser, Founder and Editor-In-Chief of the HRExaminer Online Magazine. Check out this article to learn more.

Interested in recruiting analytics and the future of big data in talent acquisition? Sign up for the Data Driven Recruiter blog.

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