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This is the third of three posts about the reporting solutions I put together when applying for a position with SERV. The first two describe how the synthetic data was created and how the HTML report was built on top of it. That report is interactive, but only within the... [Read More]

With the synthetic data at hand as described here the next step is the reporting part. As said before, having an interactive report, i.e., one that enables to sort, filter, and even cross-filter visuals and tables, does not require an overkill tool such as Tableau or PowerBI. Instead it can... [Read More]

When applying for a position with SERV, Switzerland’s export risk insurance, I thought I might showcase a couple of reporting solutions that avoid the typical BI tools. The reporting should work in a transitional phase, where one cannot rely on a top-notch analytics environment (I’m mainly speaking about data availability... [Read More]

“Can you pull the new FTS numbers?” The message looks like a thirty-second favour. The first part of this pair followed it downstream, into a wrong number baked into an expensive decision, and landed on a single observation: the recurring failure is a question that was never framed properly before... [Read More]

A message lands in the analyst’s chat: “Can you pull the new FTS numbers?” It feels like a thirty-second favour. It isn’t. Hidden inside that one sentence are half a dozen unasked questions: which metric, which season, which period, compared to what, and, least asked of all, for what decision.... [Read More]