{"id":949,"date":"2008-09-23T01:00:59","date_gmt":"2008-09-23T09:00:59","guid":{"rendered":"https:\/\/systematichr.com\/?p=949"},"modified":"2008-09-23T01:03:01","modified_gmt":"2008-09-23T09:03:01","slug":"large-investments-in-technology","status":"publish","type":"post","link":"https:\/\/systematichr.com\/?p=949","title":{"rendered":"Large Investments in Technology"},"content":{"rendered":"

Perhaps I\u2019m just a nerd, but I\u2019ve been following the developments of the Hadron Collider<\/a> for a while now.\u00a0 In terms of physics, there have been many theories abounding, but with the lack of ability to look into the tiniest known particles within an atom and see how they re\/act, it\u2019s quite impossible to find insights that either reinforce those theories or otherwise.\u00a0 The Hadron Collider being built allows scientists to see something like 10-19 of actual size\u00a0 (if memory serves me right).\u00a0 Perhaps \u201cseeing\u201d is not quite the right term, but alt least it can record evidence occurring at that tiniest of special levels.<\/p>\n

For now, the collider is reported to be $8 billion in cost and took 14 years to build.\u00a0 Physicists around the world await the next couple of years to see what new insights it brings.\u00a0 The first measurements will be simply to obtain the accuracy of the collider by remeasuring already known observed events in nature.\u00a0 Then they move onto more interesting and new things.<\/p>\n

Perhaps more on the collider and string theory next time.\u00a0 I\u2019m continuously annoyed by business executives who want data from HR in the form of real time dashboards and analytics, but are not willing to spend the cash or time that is necessary to build them.\u00a0 Lets face it, tying together a HRMS solution, bringing in multiple countries on disparate HRMS data sources, then getting all of your talent applications and even financial metrics pumped into a single data warehouse is very difficult.\u00a0 You have all sorts of timing issues, data scrub issues, and that\u2019s before you even get to standardizing data definitions and creating facts and dimensions.<\/p>\n

So HR sits around with nice little observable facts like turnover reports.\u00a0 Ohh\u2026 Ahh\u2026\u00a0 Don\u2019t I really want to know about turnover in my populations that contribute most to the business\u2019s overall growth or profitability?\u00a0 And even within that employee segment, how about the highest performers?\u00a0 And within that, how about breaking it down by competencies?\u00a0 And the other 100 ways to slice the data that you just can\u2019t see on an Excel spreadsheet.\u00a0 But you need a OLAP tool to slice and dice to your heart\u2019s content.<\/p>\n

Data Warehouse and analytics technologies can be expensive.\u00a0 Sure, every software vendor says they deliver a reporting and analytics tool, but if it\u2019s not sitting outside the software and allowing the convergence of multiple data sources within a standardized set of definitional parameters, it\u2019s not doing what you or your business leaders need it to do.<\/p>\n

Perhaps this post is mis-timed.\u00a0 HR budgets might be feeling the pinch, but as our talent fortunes rise, we simply can\u2019t move to the next level of insights without these analytics.\u00a0 At some point, we\u2019re going to have to spend the money and time to develop the warehouse.\u00a0 I\u2019ve seen thing happen in a year within a couple $M or over 3-4 years and $10M depending on the scale and complexity of the organization.\u00a0 But the reality of the situation is that we\u2019re putting in great automation technologies tile talent and self service, but still not delivering on the insights.\u00a0 Don\u2019t be afraid to ask for money \u2013 we\u2019ll have to at some point.<\/p>\n","protected":false},"excerpt":{"rendered":"

Perhaps I\u2019m just a nerd, but I\u2019ve been following the developments of the Hadron Collider for a while now.\u00a0 In terms of physics, there have been many theories abounding, but with the lack of ability to look into the tiniest…<\/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":[27,40,2,34,35],"tags":[],"class_list":["post-949","post","type-post","status-publish","format-standard","hentry","category-data-metrics","category-enterprise-solutions","category-hr-technology","category-implementation","category-tco"],"_links":{"self":[{"href":"https:\/\/systematichr.com\/index.php?rest_route=\/wp\/v2\/posts\/949","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=949"}],"version-history":[{"count":0,"href":"https:\/\/systematichr.com\/index.php?rest_route=\/wp\/v2\/posts\/949\/revisions"}],"wp:attachment":[{"href":"https:\/\/systematichr.com\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=949"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/systematichr.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=949"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/systematichr.com\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=949"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}