Recruitment Tips, Employer Trends, and Hiring Insights from CareerBuilder

Workforce Data

Three Principles for Using Big Data

Word Cloud "Big Data"“Data is not the goal, but it informs the progression of your goals,” says Michael Ganiere. Ganiere, who manages a team of 30 recruiters and sourcers at Johnson Controls, will be the first to admit that big data is confusing; however, that’s no excuse to ignore it.

Big data, after all, can help recruiters prioritize their talent pipeline efforts, drive down time-to-fill, increase the quality of hires, decrease turnover and objectively evaluate candidates.

That is…if you know how to use it. At the recent ERE West conference, in a session titled, “Using Big Data to Drive Measurable Recruiting Results,” Ganiere outlined three principles companies must adhere to when using big data toward their recruiting efforts:

  1. Use data to support your interest versus to support your positions. If we identify our interest versus our position, we could really make something happen. When dealing with data, think about your end goal.
  2. Measure everything. Hold your team accountable for a few things so as not to overload them with information and let them focus on the things that matter most.
  3. Use data ethically. You can always find a number to justify whatever your position is. Have a goal in mind and set your metrics toward your talent acquisition goals. Your talent acquisition goals, he says, should align with your business needs.

Want to know more about using big data for recruitment and workforce planning? Check out Four Things HR Must Know About Big Data or download Hiring Big Data Talent, an in-depth look at companies’ efforts to hire talent to help them with their big data efforts.

Mary Lorenz

About Mary Lorenz

Mary is a copywriter for CareerBuilder, specializing in B2B marketing and corporate recruiting best practices and social media. In addition to creating copy for corporate advertising and marketing campaigns, she researches and writes about employee attraction, engagement and retention. Whenever possible, she makes references to pop culture. Sometimes, those references are even relevant. A New Orleans native, Mary now lives in Chicago, right down the street from the best sushi place in the city. It's awesome.
2 comments
DataH
DataH

Mary very nice perspective when considering Big Data. With the explosion of big data, companies are faced with data challenges in three different areas. First, you know the type of results you want from your data but it’s computationally difficult to obtain. Second, you know the questions to ask but struggle with the answers and need to do data mining to help find those answers. And third is in the area of data exploration where you need to reveal the unknowns and look through the data for patterns and hidden relationships. The open source HPCC Systems big data processing platform can help companies with these challenges by deriving insights from massive data sets quick and simple. Designed by data scientists, it is a complete integrated solution from data ingestion and data processing to data delivery. Their built-in Machine Learning Library and Matrix processing algorithms can assist with business intelligence and predictive analytics. More at http://hpccsystems.com


DataH
DataH

Mary very nice perspective when considering Big Data. With the explosion of big data, companies are faced with data challenges in three different areas. First, you know the type of results you want from your data but it’s computationally difficult to obtain. Second, you know the questions to ask but struggle with the answers and need to do data mining to help find those answers. And third is in the area of data exploration where you need to reveal the unknowns and look through the data for patterns and hidden relationships. The open source HPCC Systems big data processing platform can help companies with these challenges by deriving insights from massive data sets quick and simple. Designed by data scientists, it is a complete integrated solution from data ingestion and data processing to data delivery. Their built-in Machine Learning Library and Matrix processing algorithms can assist with business intelligence and predictive analytics. More at http://hpccsystems.com/

Stay Connected

Subscribe