With the staffing and recruiting industry raving about Big Data being the new currency of the digital world, JP Isson\u2019s presentation highlighted the \u201csexiness\u201d of Big Data.\u00a0He defines Big Data with the four Vs: Volume, Variety, Velocity, and Value.\u00a0 By 2020, data production will be 44 times greater than in 2009! This translates to massive volume and velocity. The real importance of this data, though, lies in its value. With increased processing power, companies now have the ability to convert their vast amounts of data into actionable intelligence. This actionable intelligence is what leads to increased sales for your company!<\/p>\n
JP explained that identification of the business challenge was the primary solution for companies struggling to understand Big Data\u2019s value.\u00a0 He concluded that you can\u2019t find a solution until you know the problem.\u00a0 Because there is so much data out there, it is easy to get bogged down in granularity.\u00a0 By identifying your company\u2019s specific business challenge, you can more easily identify the data that will help you solve this problem and stay on track.<\/p>\n
This session really allowed attendees to learn how to apply advanced business analytics to the staffing and recruiting industry.\u00a0By pinpointing data\u2019s reduced cost of storage, explaining the surge in data volume through Internet-active devices, and recognizing the ability of solutions, like Bullhorn, to process and manage data more efficiently, JP Isson emphasized utilization of Big Data as a competitive advantage for businesses in the staffing and recruiting industry.<\/p>\n
This Bullhorn Blog\u00a0post was written by\u00a0Samantha McPhall.<\/em><\/p>\n","protected":false},"excerpt":{"rendered":" With the staffing and recruiting industry raving about Big Data being the new currency of the digital world, JP Isson\u2019s presentation highlighted the \u201csexiness\u201d of Big Data.\u00a0He defines Big Data with the four Vs: Volume, Variety, Velocity, and Value.\u00a0 By 2020, data production will be 44 times greater than in 2009! This translates to massive […]<\/p>\n","protected":false},"author":24,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"om_disable_all_campaigns":false,"footnotes":""},"categories":[15,584],"tags":[],"class_list":["post-972","post","type-post","status-publish","format-standard","hentry","category-events","category-industry-trends-and-insights"],"acf":[],"yoast_head":"\n