Organizations are only as strong as the informed decisions they can make. So when data goes missing, or is contradictory or outright incorrect, that spells trouble. This is an ebook about the risks presented by bad workforce data, how to identify it, and how to build a process to correct it.
Data is captured by people dealing with many competing priorities, and it usually passes through multiple different systems built for different purposes. Employees and employment itself can also be more complex than systems or processes rigidly require. This leads to three main types of data error: incomplete, inaccurate, and inconsistent data.
This ebook takes a comprehensive look at:
- The risks associated with poor data
- Why data errors happen
- Where to look for errors and start your remedial efforts
- The key characteristics of incomplete, inaccurate, and inconsistent data
- And more!
Download the ebook using the form on this page and start straightening out the data that informs some of your most business-critical decisions today.