For example, workforce analytics enabled a large distribution company to analyze historical information and use it to optimize its labor force by scheduling the right mix of full-time, part-time and temporary labor on a variety of schedules.
As for more people working part time, part of it reflects the types of jobs we have created in the last four years, and part of this is driven by retailers getting more sophisticated with their scheduling.
Fact: Sooner or later companies will realize two part time workers are better than 1 full time, and while a bit aggravating at first scheduling will be done and it will save money.