BUSINESS INSIGHTS

Jul 17, 2015

Demo Day: Human Resources Analytics Insights Through Mashup

Mike Cornell Posted by Mike Cornell

Companies of all sizes put a lot of time and money into trying to recruit and hire the right people. Sometimes those efforts are rewarded with the hiring of an outstanding employee that provides years of service to the organization, but far too often, the result is a mediocre employee that may-or-may not make it to see his next paycheck. humanresourcesadvancedanalytics.png

Advanced analytics can help.  With today’s analytics tools, we can easily mashup our traditional human resources data with external sources such as resumes, social media websites, and job boards.  This allows us to tell a much better story of who our existing and potential employees are as well as what indicators drive turnover in our organization.  These insights can then be used in more predictive analytics which might help us be more efficient in choosing good candidates or to identify likely risk factors for potential and existing employees.

Our multipart video series on advanced analytics in human resources will step you through some examples of how this innovative form of “people analytics” can be used.  The examples will use data from large call center organization.  The first video below, titled “Insights from Data Mashup”, shows how advanced data exploration tools mixed with mashing up data from external sources can lead to some pretty interesting new insights.

 Want to learn more about how advanced analytics can help your human resources efforts? Contact us for a consultation

New Call-to-action
Mike Cornell

About The Author

Mike Cornell

Mike Cornell is a Senior Solutions Consultant at BlueGranite who is passionate about helping clients to solve business problems of varying size and complexity using data and analytics. Mike's specializations include big data platforms, cloud data platforms, advanced analytics, and data visualization and exploration. His technology interests include the Azure Data Platform, Hadoop Data Platform, Spark, R and Python for data analysis, Power BI, and SQL Server. Check out Mike's blog at http://www.datamic.net.