<\/a><\/p>\nClick to Enlarge<\/p>\n<\/div>\n
Let’s be honest, most people are comfortable<\/i> with their daily grind \u2013 they stare at metrics on spreadsheets, ensure exceptions are handled and the corporate engine keeps running. They turn up at meetings and say all the right things, avoid challenging the status quo (while acknowledging there can always be improvement), but deep down have settled for adequacy and a steady treadmill of efficiency without too many fireworks or drama.<\/span><\/p>\nThe Bottom-line: \u00a0It’s time to get with the program, or get out of the way<\/span><\/p>\nWhy would they want to learn how to access and interpret data more intelligently? Why would<\/i> they want to find problems, as opposed to reactively solving them when they crop up? Why would they want to mimic manual processes into scripts to have them run robotically, when they can patch over these inefficiencies\u00a0with cheap offshore labor? Why would they want to explore the potential of artificial intelligence and self-learning computing capability when they can just do<\/i> these things themselves (or at least pretend to do them). \u00a0Answer \u2013 they have no burning platform<\/i> to change the way their\u00a0do their jobs.<\/span><\/p>\nBut there is one significant burning platform that will burn<\/i> them, if they are not willing to adapt to the As-a-Service world: they will be irrelevent<\/i> in tomorrow\u2019s enterprise. \u00a0Yes, they may be lucky and survive in legacy organizations that can get away without changing, or they may be in their late 50\u2019s and only care about lasting a few more years until retirement, but \u2013 for most \u2013 if they cannot adapt to As-a-Service, their bosses will shift them on and either replace them with a service provider staffer, or just simply phase out their legacy job, as it was not really needed anymore.<\/span><\/p>\nStay tuned as we drip this study out to market in the next few weeks. \u00a0The world changed at lot in 2015, and we need to get back to basics in 2016 to understand actions customers are taking to change with it…<\/em><\/p>\n","protected":false},"excerpt":{"rendered":"Our current in-the-field study looking at Re-architecting the Finance Function for the Digital Age (click here if you are yet…<\/p>\n","protected":false},"author":3,"featured_media":970,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[48,56,57,835,78,80,838,90,91,831,832,830,96,97,98,837],"tags":[750],"organization":[],"ppma_author":[19],"class_list":["post-969","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-business-process-outsourcing-bpo","category-design-thinking","category-digital-transformation","category-f-a","category-hfsresearch-com-homepage","category-hr-strategy","category-kpo-analytics","category-robotic-process-automation","category-saas","category-smac-and-big-data","category-sourcing-best-practises","category-sourcing-change","category-survey-re-architecting-finance-for-the-digital-age","category-talent-in-sourcing","category-the-as-a-service-economy","category-the-industry-speaks","tag-talent"],"yoast_head":"\n
Finance talent: automation skills now trumping analytics skills - Horses for Sources | No Boundaries<\/title>\n\n\n\n\n\n\n\n\n\n\n\t\n\t\n\t\n\n\n\n\n\t\n\t\n\t\n