{"id":1566,"date":"2013-09-27T15:08:16","date_gmt":"2013-09-27T15:08:16","guid":{"rendered":"http:\/\/www.hr-softwareblog.com\/?p=1566"},"modified":"2013-10-01T16:13:10","modified_gmt":"2013-10-01T16:13:10","slug":"hris-garbage-garbage","status":"publish","type":"post","link":"https:\/\/www.comparehris.com\/blog\/hris-garbage-garbage\/","title":{"rendered":"HRIS: Garbage in, Garbage out"},"content":{"rendered":"

\"HR<\/a>When HRIS installations fail, and they sometimes do, it is often the result of the failure to install quality data. You put bad stuff into any system, and bad stuff comes out. When an installation is complete and the HRIS vendor has walked away, the vendor assumes you supplied current, verified, and functional data.<\/p>\n

Global Data Synchronization Network (GDSN)<\/a> defines good quality data as \u201ccomplete, consistent, accurate, time-stamped and industry standards-based.\u201d If quality data checks in to the system, quality information should be the outcome. Now, a considerable problem arises when most Human Resources personnel do not fully understand these criteria. With time, it has simply become rather inconsequential data entry to a staff not fully immersed in Information Technology. So, there is real risk that the data they present to the HRIS vendor is not complete, consistent, or accurate, let alone current, verified, and functional. With all due respect, most HR personnel think of information systems as little more than virtual files.<\/p>\n

However, poor data quality performs poorly. In \u201cThe Butterfly Effect On Data Quality<\/a>,\u201d a white paper by talend,* they compare the situation to the \u201cbutterfly effect\u201d in which \u201ceven a small error \u2013 the transposed letters in a street address or part number \u2013 can lead to revenue loss, process inefficiency and failure to comply with industry and government regulations. Organizations depend on the movement and sharing of data throughout the organization, so the impact of data quality errors is costly and far reaching.\u201d<\/p>\n

When HR brings HRIS in the door, the department owes all stakeholders the confidence that the data offered is quality. HR cannot expect IT to know the input; it cannot expect Operations or Finance to know what it knows. Quality starts with collaborative data.<\/p>\n