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Welcome to the industry discussions forum — a dedicated space to share resources, connect with like minded data workers, and discuss industry specific analytic challenges + solutions. Please read the Welcome post pinned below to familiarize yourself with how to engage in this new forum.
Right now, the power to solve new global challenges across industries, is at your fingertips, no matter where you're working from. Create a new topic or reply to an existing thread to share your perspective.
Remember when commuting was such a pain. While many of here have been remote working or in work at home situations over the past month, we are all hopeful that when we return to the new normal we will get to experience the excitement or the dissatisfaction of being stuck in traffic trying to make our way to the office.
To an HR professional understanding how variables such as commuting time, cost of living rates, pay scales and other factors correlate with employee attrition is a critical piece of actionable insight. Only by having this insight can an HR or business leader know what levers to pull to help sustain the value of business assets that being skilled and talented people.
In this demo we will look at various factors that could be impacting employee attrition rates, we will use those factors to score a percent risk across our employee base. By using advanced analytics including geospatial analysis and predictive analytics we can develop better insights and understanding of the risk factors and our HR and business leaders can make better decisions regarding things such as corporate office locations, work at home arrangements or even salary adjustments. By having better insights into the risk factors for attrition the objective will be to implement actions that will significantly reduce the levels of employee dissatisfaction and thus improve employee retention rates, satisfaction levels, and overall business results.
Join us on April 30th at 11:00 am ET where we’ll connect + solve around: What’s Driving Employee Attrition? We’ll use historic HR #data, and the Power of the @Alteryx Platform to predict and understand what levers can improve employee retention rates. By identifying the variables that correlate with employee attrition, business leaders can make better decisions regarding things such as office locations, work at home arrangements, or even salary adjustments. By having better insights into the risk factors for attrition leaders will have an opportunity to reduce the levels of employee dissatisfaction and thus improve employee retention rates, satisfaction levels, and overall business results.
Would it be possible to add a label for HR or People Analytics (and add that label to this post)? As a People Analytics practitioner I'm sorry I missed this event, but it would be great to be able to find related posts in the future!