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EN
Analytics Products Will Never Be Truly Human-Centered Until the Workplaces Behind Them Are
['Valerie Casalino', 'Joshua Pine', 'Milán Janosov', 'Senthil Natarajan', 'Root', '--M-A-Box-Bp', '--M-A-Box-Bp-L', '.M-A-Box', 'Width', 'Margin-Top']
| Nightingale | Nightingale
From what I’ve experienced and witnessed working in analytics, I don’t think I see the same strides in how analytics work gets done.
Experiences and impacts of data analytics work on data engineers from a 2021 report by data.world and DataKitchen.
Even with diversity, we still need to ensure that our analytics workplaces make everyone feel safe, healthy, empowered, and valued.
The tendency for analytics workplaces to be top-down, reactive, chaotic, transactional, and overburdening clearly isn’t working—not for our people, and not for our products.
Normalized approaches to analytics work can actually be quite harmful, like unpredictability, constant urgency, ambiguity, and the erosion of autonomy.