{"id":1030,"date":"2014-05-20T14:06:28","date_gmt":"2014-05-20T14:06:28","guid":{"rendered":"https:\/\/www.bullhorn.com\/?p=1030"},"modified":"2019-03-02T09:09:46","modified_gmt":"2019-03-01T22:09:46","slug":"big-data-in-the-staffing-industry","status":"publish","type":"post","link":"https:\/\/www.bullhorn.com\/au\/blog\/big-data-in-the-staffing-industry\/","title":{"rendered":"Start Differentiating Your Staffing Agency with Big Data"},"content":{"rendered":"<p>I\u2019ve been spending a lot of time with our customers recently, listening to them speak about what drives their businesses.\u00a0 What I hear over and over again is that many of our customers are differentiating themselves from the competition on value by anticipating their clients\u2019 needs \u2013 delivering quicker time to value with better candidates and faster placements, helping them compete more effectively.\u00a0 Gone are the days when a provider of products or services could say \u201cwe\u2019re working on it, and we will call you when we\u2019re done.\u201d<\/p>\n<p>One way in which you, as recruiting agency professionals, can differentiate on value is to have better information and insight about the market than your competitors do and to share it with your client, which is exactly the promise of Big Data.\u00a0 But \u201cBig Data\u201d is a widely over-used term, a catch-all for anything to do with data and analytics.\u00a0 What does Big Data really mean in the context of the staffing industry?\u00a0 How can staffing and recruiting firms leverage Big Data to differentiate on value?\u00a0 Of course, there are many different aspects of Big Data as a concept.\u00a0 However, Big Data as it applies to staffing is about combining previously siloed data sets to derive new meaning and insight.<\/p>\n<p>For instance, one customer with whom I spoke described working on an IT project to source several developers. This customer is mining GitHub to identify the specific environments in which the candidates have strengths.\u00a0 The candidates may say that they are experts in Java and C++, but if their work is dominated by Java submissions on GitHub, they\u2019ve essentially put their money where their mouth is.\u00a0 Conversely, if you are looking for a marketing\u00a0candidate, you may want to examine their Klout score, or the Klout scores of the brand Twitter handles they manage, which could provide insight into their ability to evangelize and influence a community. \u00a0Similarly, while you may be using a <a href=\"https:\/\/www.bullhorn.com\/au\/products\/recruitment-crm\/\" target=\"_blank\">recruitment CRM<\/a>\u00a0that has thousands of candidate profiles, these same candidates\u2019 continually-updated profiles on LinkedIn may provide additional information that would help you successfully place them. \u00a0Combining the two data sets will provide additional insight into the candidate suitability, and give you the most complete version of the truth. \u00a0We recently made an <a href=\"https:\/\/www.bullhorn.com\/au\/news-and-press\/press-releases\/bullhorn-and-linkedin-team-streamline-recruiter-workflow\/\" target=\"_blank\">announcement<\/a> with LinkedIn to provide this capability.<\/p>\n<p>Big Data for staffing is also about mining this information at scale.\u00a0 Another customer with whom I met talked about helping their clients benchmark against industry standards, like the number of interviews per hire. \u00a0If the client is consistently doing 10+ interviews per hire for a certain kind of job and the industry average is 7, all else being equal, that client will be at a competitive disadvantage as it tries to grow.\u00a0 Our North American Staffing and Recruiting Trends Report and UK Staffing and Recruiting Trends Report provide aggregate data for the industry as a whole, and staffing firms can take these metrics to the level of granularity they desire based on their knowledge of a specific job type, a regional market, or a client\u2019s history.<\/p>\n<p>As staffing firms plan for the future, taking into account these two aspects of Big Data as it applies to our industry\u2014incorporating new data sets into analysis and mining this information at scale\u2014will allow firms to differentiate on value, delivering more targeted candidates and ultimately greater insight to clients.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>I\u2019ve been spending a lot of time with our customers recently, listening to them speak about what drives their businesses.\u00a0 What I hear over and over again is that many of our customers are differentiating themselves from the competition on value by anticipating their clients\u2019 needs \u2013 delivering quicker time to value with better candidates [&hellip;]<\/p>\n","protected":false},"author":22,"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":[556],"tags":[],"class_list":["post-1030","post","type-post","status-publish","format-standard","hentry","category-tips-tricks-and-how-tos"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.2 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Differentiate Your Staffing Agency with Big Data | Bullhorn<\/title>\n<meta name=\"description\" content=\"Big Data as it applies to staffing is about combining previously siloed data sets to derive new meaning and insight.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.bullhorn.com\/au\/blog\/big-data-in-the-staffing-industry\/\" 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