Started Apr 21, 2015 0 Replies 0 Likes
Since the first actuarial profession began in 1762, analytics has been an integral part of business decisions in the insurance industry. With the advancements in technology, data availability and…Continue
Tags: Predictive, modelling, Intelligence, Data, Big
Started Nov 28, 2014 0 Replies 0 Likes
According to Debra S. Osborn, Head of HR Reporting and Analytics at Aetna, HR analytics is a rapidly emerging field. Some recent surveys show that if companies have an HR analytics function, they…Continue
Tags: Predictive, Workforce, analytics, Data, Big
Started Oct 31, 2014 0 Replies 0 Likes
Data analytics in Human Resources is quickly becoming a new area of innovation and focus because of the insights it can provide around workforce management. Workforce analytics has emerged as the key…Continue
Tags: Predictive, modelling, Business, Workforce, Analytics
Started Oct 30, 2014 0 Replies 0 Likes
Is it time to bring text analytics in-house? A director of analytics at Visa, who is slated to speak at the 13th Annual Text Analytics…Continue
Tags: Predictive, modelling, Intelligence, Business, Data
Alesia has not received any gifts yet
Posted on January 20, 2015 at 12:00pm 0 Comments 0 Likes
Human resources analytics can provide businesses the keys to improving processes, reducing workforce costs and making the right policy changes to improve efficiency. Leaders in the space and speakers from the upcoming…
ContinuePosted on December 4, 2014 at 2:00pm 0 Comments 0 Likes
According to Deloitte’s 2014 Human Capital Trends survey, 86% of companies do not have any analytics capabilities in HR, and 67% are ‘weak’ at using HR data to predict workforce performance and improvement.
At the Workforce and HR Analytics Summit West 2015 (March 9-10, San Diego) experienced HR leaders will share how they have reshaped their HR analytics from reporting factories to strategic solution providers that answer some of the most important business…
Continue
© 2019 Data Science Central ®
Powered by
Badges | Report an Issue | Privacy Policy | Terms of Service
Most Popular Content on DSC
To not miss this type of content in the future, subscribe to our newsletter.
Other popular resources
Archives: 2008-2014 | 2015-2016 | 2017-2019 | Book 1 | Book 2 | More
Most popular articles
Comment Wall
You need to be a member of Data Science Central to add comments!
Join Data Science Central