MITO: Automatic Python Code from Spreadsheet Operations

Not a Coder? No issue, you can still automate

From Unplash: by Christin Hume

Excel should have been the stepping stone into the analytical realm for the vast majority of individuals. Most of the industry desk professionals utilize Excel for their day-to-day analytics as well. It’s a terrific tool for extracting insights from data and producing reports for managers without requiring a lot of technical knowledge.

Limitations on Excel Based Analysis

Even though Excel is wonderful, it has a set of limitations.

• Less Repeatability
  I have seen certain employees have squandered hours because they are required to prepare daily, weekly, and monthly reports. They download the data, do some pivots and summaries, make graphs, and then deliver it. They repeat the process over and over in Excel doing the same steps every day.
• Prone to errors with less consistency
  When doing a task with multiple steps manually there is always chance to make a human error. Let’s get an example. Say prior to doing a particular analysis, you may wish to round up the numbers; failing to do so will have an impact on the final results. This is likely to be forgotten on some days or if your task is taken up by someone else it’s an easy step to forego. So…