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Wednesday, May 15, 2019

On data dashboards

Click either above to enlarge.

Interesting, iconoclastic post at THCB:
We Are Not A Dashboard: Contesting The Tyranny Of Metrics, Measurement, And Managerialism
By DAVID SHAYWITZ

The dashboard is the potent symbol of our age. It offers the elegant visualization of data, and is intended to capture and represent the performance of a system, revealing at a glance current status, and pointing out potential emerging concerns. Dashboards are a prominent feature of most every “big data” project I can think of, offered by every vendor, and constructed to provide a powerful sense of control to the viewer. It seemed fitting that Novartis CEO Dr. Vas Narasimhan, a former McKinsey consultant, would build (then tweet enthusiastically about) “our new ‘control tower’” – essentially a multi-screen super dashboard – “to track, analyse and predict the status of all our clinical studies. 500+ active trials, 70+ countries, 80 000+ patients – transformative for how we develop medicines.” Dashboards are the physical manifestation of the ideology of big data, the idea that if you can measure it you can manage it.

I am increasingly concerned, however, that the ideology of big data has taken on a life of it’s own, assuming a sense of both inevitability and self-justification. From measurement in service of people, we increasingly seem to be measuring in service of data, setting up systems and organizations where constant measurement often appears to be an end in itself…
Good post. Read all of it. What do you think?
...Data sciences and technology could, and must, play a vital role. But they haven’t earned the right to be considered an end in themselves. They represent potentially valuable tools, ideally in the hands of experienced and inquisitive practitioners, who uniquely appreciate the subtleties of their domain – McClintock’s phrase “feeling for the organism” comes to mind; who have the humility to recognize the limits of knowledge; and who will actively seek to leverage the benefits potentially offered by data, analytics, and measurement, thoughtfully applied.
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More to come...

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