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As I already said, I have only included case studies that showed tangible organizational benefits. The full details of this HR analytics case study and the statistical tests can be found here. Achieving an optimum staffing level. Another interesting HR analytics case study was about reaching optimum staffing levels.
Amazon expands and shrinks by tens of thousands of workers at a time through the use of temporary staffing companies for its warehouses — it added 80,000 temporary workers for the 2014 holiday season. It is inevitable that variants of such data will end up in the hands of researchers, one way or another.
But data scientist are curious creatures who thrive from being able to creatively dabble; there are benefits to giving them flexibility to work on projects that touch both “types” – both for them and for the organization. In slightly bigger teams, each of these may be a role staffed by one or more individuals.
Indeed, among its clearest benefits is patient convenience. Improved access is another potential benefit, as telehealth tools can free up time for providers to see new and more complex patients in-person by efficiently moving more routine visits out of the office. The challenge is huge.
There’s a long laundry list of skills that are critical, but not often considered core to the product: adtech integrations, signup funnel A/Btesting, optimizing notification delivery, testing price points, testing cohort curves, etc. This can work, but then the team needs to be staffed properly.
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