Analyzing third-party cloud services to assess for security risks
Evaluating past cyberattacks and predicting risk in similar situations
Using pattern recognition to mitigate recurring cyber threats
Conducting penetration mapping to identify any system "backdoors" or vulnerable areas.
Predicting the potential for success in prospective hires
Automating and optimizing onboarding processes
Analyzing exit interviews for trends that may then be used to adjust hiring processes
Utilizing performance management to identify indicators of low — or favorable — employee
performance
Hiring the right talent with the right skills
Reducing burdensome costs
Reducing unnecessary (and time-consuming) paperwork
Boosting employee performance
Boosting employee morale
Boosting company revenue
How can advanced analytics help? Here are a few examples:
For businesses that suffer from gaps in their security systems, advanced analytics can help
identify and illuminate them. These tools also allow users to automate system testing and
maintenance to keep things running smoothly.
5. Talent Acquisition
Businesses today are awash with data. Unfortunately, many departments are challenged with
utilizing that data to their advantage. Human Resources (HR) is a perfect example.
According to Gartner, while the volume of data and metrics available for HR to report on has
increased exponentially, most companies are not able to realize the value from their analytics
investments. In fact, only 21% of HR leaders believe their organizations are effective at using
talent data to shape talent acquisition and recruiting strategies, improve employee
engagement and inform other business decisions.
But marketplace activity is signaling that Human Resources is upping the recruitment game.
According to a recent report by Gartner, 70% of organizations expect to increase the
resources they dedicate to talent analytics in the coming years.
Advanced analytics can assist HR departments in several ways, including:
The result?
LEVERAGING DATA | 8
