Opinion
Spreadsheets are bogging us down. For all the reliance on Excel in the business world, hanging on to it is like trying to run a Formula 1 race in a broken down car. Sure, it's familiar and widespread. And, to be fair, it works for many tasks ranging from simple data mining in investment banking to fairly complex insurance pricing models.
However, when dealing with data with thousands of entries, often interrelated tables and complex groups, using Excel can be downright dangerous when it comes to managing today's complex data. Take this: Excel's row limit is infamous, leading to <a target="_blank" class="af pk" href="https://www.bbc.co.uk/news/technology-54423988.amp” rel=”noopener ugc nofollow” target=”_blank”>high profile disasters like the UK's COVID-19 data mishap, where thousands of test results were omitted due to Excel limitations.
Or consider the countless hours wasted verifying manual entries, only to end up with reports that may still be victims of human error. The truth is that Excel is dead weight when it comes to data analysis beyond a certain level of complexity.
In an age where even simple consumer applications handle complex data faster and with greater accuracy, why are we still dealing with…
