The Modeller's Miscellany - #45

Optimising love lives using spreadsheets

· Modellers Miscellany

The Modeller's Miscellany is a weekly bulletin of cool stuff for financial modellers.

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Article // Between the spreadsheets

According to this article in The Economist's 1843 magazine, a growing number of people are turning to spreadsheet optimisation to manage their love lives. According to the article: "People who use spreadsheets, charts and planners to manage their love lives are different from the majority only in their conscious embrace of a fundamental truth – that relationships are transactions, and the work involved in creating and maintaining them is a form of labour."

In another example, this couple are using Excel and data visualisation to balance the household chores load between them.

Is this really the best way to excel in relationships?

Webinar // Financial Modelling Standards - January 21st

Financial modelling standards have been around for more than 10 years. Are they still relevant to modern financial modelling?

More than 500 people have registered so far for this week's webinar to join the discussion and find out.

Danielle Stein Fairhurst will host the discussion featuring:

  • Rickard Wärnelid
  • , Mazars (formerly known as Corality/SMART)
  • Andrew Berkley

, FAST Standard Organisation

  • David Lyford-Smith

 - ICAEW / The Financial Modelling Code

The webinar will be recorded if you can't make it (looking at you, Americans). We'll post a recording link next week.

Survey // Global Financial Modelling Survey 2021

Today is your last chance to take part in the 2021 Global Financial Modelling Survey. We have extended the deadline to midnight tonight. With just a few more responses we'll pass the 1,000 mark.

A huge thank you to all who have taken part and to Plum Solutions, the FMI and the Excel Summit for helping to spread the word - not to mention everybody who shared on LinkedIn.

We'll be announcing the winner of the Bose earphones in next week's Miscellany.

And finally . . . Article // Forget AI - aim for a good clean CSV file instead.

Companies often want to apply grandiose, technical solutions to the problem of bad data. According to this article, they'd be better served by focusing on having clean, consistent, well documented CSV files. This trivial-sounding yet crucial component of data analysis is mostly either ignored or assumed to have already been solved. The article concludes that what's needed is a "shift of focus (and resources) away from sweeping solutions back to the straightforward, boring, critical tasks of entry-level spreadsheet checking by managing agents". Read more.

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