Every day business leaders make countless decisions based on data. Yet 1 in 3 senior executives readily admit that they don’t trust their data, and - a full 92% are concerned about the negative impact of data and analytics on the corporation's reputation.
The reality is that dirty data is every organization's dirty little secret. No matter how many analytics tools your organization has, the results are only as good as the data powering it - data that is often littered with missing or inaccurate information. Human input often results in human errors…which can lead to widespread and costly data issues.
Dirty data is particularly dangerous when it comes to managing HR, as it can be a significant barrier to closing pay gaps, complying with the Affordable Care Act, and creating a more diverse workplace. Decisions made based on inaccurate analytics create risk of penalties, lost revenue and creating inequities in your workforce.
Trusaic’s Workforce Analytics MachineSM (WAM) analyzes and cleans HR data using machine learning and artificial intelligence, supported by our patented technology. Workforce Analytics Machine is powered by our 20 years of regulatory compliance experience, an intense focus on identifying those issues we know drive penalties and risk. Other solutions can “manage” compliance, but without clean, consolidated data, they can never eliminate risk in the way that we do.