{"id":1100,"date":"2009-09-30T01:00:45","date_gmt":"2009-09-30T09:00:45","guid":{"rendered":"https:\/\/systematichr.com\/?p=1100"},"modified":"2009-09-16T06:25:08","modified_gmt":"2009-09-16T14:25:08","slug":"translating-hr-data-elements-globally","status":"publish","type":"post","link":"https:\/\/systematichr.com\/?p=1100","title":{"rendered":"Translating HR Data Elements globally"},"content":{"rendered":"

Global HR data is tough. <\/span>Often times when we\u2019re thinking about implementing a global core HR system, or a global data warehouse, we implement these systems according to a U.S. centric view of the world. <\/span>(I\u2019ll note here that I once worked with a U.K. based company that looked at their core HR system with an EMEA view of the world). <\/span>This is rather disadvantageous since one of the ore problems with global implementations is that you usually start with skepticism and disengagement. <\/span>This only increases when you propose your U.S. centric view of the world.<\/span><\/p>\n

Translating not only data elements but any definition you are going to use is simply a starting point in translating data across global geographies, countries and business units. <\/span>Before embarking on the implementation of systems, it\u2019s truly useful to get some things straight. <\/span>To do this, I\u2019ll just give a couple of the more obvious examples.<\/span><\/p>\n

— EEO (race) Codes: <\/span>We love to report on EEO codes in the U.S. <\/span>So much of our reporting is defined by these EEO categorizations, but we also know that EEO is exclusively a U.S. concept. <\/span>As you travel globally, you quickly realize that race and ethnicity is not at all meaningful. <\/span>If you go to Japan, they really could care less, since 99% of the population is actually Japanese, but they might care about ethnic variations in Japan. <\/span>You might go to the Middle East where race and ethnicity does matter, but they also may want to know for discrimination purposes if you are Sunni or Shiite. <\/span>In the end, most implementations I\u2019ve done decide that trying to define and categorize race across the globe doesn\u2019t actually make sense. <\/span>Instead, they go after the thinks that they can collect like age and gender.<\/span><\/p>\n

— Exempt versus non-exempt: <\/span>Again, this is a U.S. centric concept that is defined by FLSA. <\/span>If you went around the globe and talked about exempt employees, your audience would be bewildered. <\/span>While it\u2019s not a direct and perfect translation, most other organizations in the world can indeed relate to overtime eligible or not overtime eligible. <\/span>Simply changing the data labels allows you to move forward with a global terminology that makes sense to everyone.<\/span><\/p>\n

One of the key failure points of global implementations (there are many however) is the lack of common definitions across the globe. <\/span>As soon as your global population feels that this is just another corporate initiative that U.S. stakeholders will benefit from, your international population will disengage. <\/span>There are all sorts of prepatory activities you need to tackle prior to implementing, and data definitions is probably one of the first you should tackle. <\/span><\/span><\/p>\n","protected":false},"excerpt":{"rendered":"

Global HR data is tough. Often times when we\u2019re thinking about implementing a global core HR system, or a global data warehouse, we implement these systems according to a U.S. centric view of the world. (I\u2019ll note here that I…<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_coblocks_attr":"","_coblocks_dimensions":"","_coblocks_responsive_height":"","_coblocks_accordion_ie_support":"","footnotes":""},"categories":[40,2,29,34],"tags":[],"class_list":["post-1100","post","type-post","status-publish","format-standard","hentry","category-enterprise-solutions","category-hr-technology","category-hrms","category-implementation"],"_links":{"self":[{"href":"https:\/\/systematichr.com\/index.php?rest_route=\/wp\/v2\/posts\/1100","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/systematichr.com\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/systematichr.com\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/systematichr.com\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/systematichr.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=1100"}],"version-history":[{"count":2,"href":"https:\/\/systematichr.com\/index.php?rest_route=\/wp\/v2\/posts\/1100\/revisions"}],"predecessor-version":[{"id":1102,"href":"https:\/\/systematichr.com\/index.php?rest_route=\/wp\/v2\/posts\/1100\/revisions\/1102"}],"wp:attachment":[{"href":"https:\/\/systematichr.com\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=1100"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/systematichr.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=1100"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/systematichr.com\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=1100"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}