{"id":165,"date":"2023-08-30T17:20:53","date_gmt":"2023-08-30T15:20:53","guid":{"rendered":"http:\/\/james@data-cubed.co.uk"},"modified":"2023-08-30T17:20:53","modified_gmt":"2023-08-30T15:20:53","slug":"why-every-hr-team-should-hire-a-data-translator","status":"publish","type":"post","link":"https:\/\/data-cubed.eu\/blog\/why-every-hr-team-should-hire-a-data-translator\/","title":{"rendered":"Why Every HR Team Should Hire a Data Translator"},"content":{"rendered":"\n

HR is up against it<\/h3>\n\n\n\n

Businesses don\u2019t build themselves; people build them. That\u2019s why HR teams have such a tall order. They need to hire in the right people and then build effective long-term strategies to engage them, motivate them and ultimately drive business success. Measuring all of these tasks for effectiveness has been a long-standing challenge for HR. Data is often spread across the business\u200a\u2014\u200ain recruitment, HR, sales and finance. And beyond siloed teams, getting actionable insight from HR data is difficult in two parts.<\/p>\n\n\n\n

Firstly, HR has not always had the analytical expertise needed. In teams like Marketing and Sales, data analytics has long formed the backbone of strategy. It\u2019s used for creating new products, testing marketing channels, informing pricing strategies and of course sales targeting. In HR, the merits of data analytics are less known. The technology has been slow to adopt, and specialist roles for analysing and visualising data are rare.<\/p>\n\n\n\n

And this leads to the second challenge: HR doesn\u2019t have a reputation of measuring success, playing a numbers game, or bringing in the big bucks. Again, these go to finance, marketing, and sales. Whilst this is fast changing, some teams need support to turn insights into action; to communicate findings to the executive decision makers and get them to act on them.<\/p>\n\n\n\n

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Whilst data can solve complex business challenges, it\u2019s worthless if it\u2019s not analysed or communicated to decision-makers in the right way. That\u2019s where a great data translator comes in. A data translator is the person that sits between the data analysts and the decision makers. They must \u2018talk the talk\u2019 of both parties, by understanding the business needs of the organisation and at the same time being data-savvy enough to talk tech and distil it to others in an easy-to-understand manner.<\/p>\n\n\n\n

The data translator takes an important commercial role. Working closely with the HR team, they must challenge all HR data and ask:<\/p>\n\n\n\n