More Data

Supercharging productivity with Google Sheets and App Scripts

Slide from a presentation I did back in late 2015/ early 2016. Our (Wego Data Science team) primary data analysis setup then was relying on Google Sheets and App Scripts to process and deliver data stored on BigQuery. We’ve come a long way since then, and it is no longer our primary means of scheduling processing and delivering data, but the pointers are still very relevant.

It is a good setup for small and new data teams who want something quick and easy to deploy (much lesser coding required). In the long run I’d still recommend a proper setup though. At the end of the day, it is a free tool with many limitations which would not go well with growing data demands.

Pardon the aesthetics, I stripped the formatting out from the original presentation to avoid organisational sensitivities.

 

 

One thing I did not mention in the slides of the benefits of using Google Sheets as a transport/ holder of data is that it provides a very visual interface for account/ business managers to do troubleshooting on their own, as they might not be technically inclined/ have the time to go through lines of code if information produced does not look right. More on that in future.

 

Google Sheets + App Scripts

Pros:

 

Cons:

 

Is the above information useful? Would you like more details on a specific aspect? Let me know in the comments below or drop me a message at aaron@aaronteoh.com. Thanks for reading!