#Tableau prep bigquery how to#
#Tableau prep bigquery software#

#Tableau prep bigquery how to#

This doesn't sound too problematic, but remembering where the file is kept, remembering to update it and remembering to ensure your colleagues also know how to do this (in case you leave). The most notable of these is that the list of dates in the Scaffold has to be maintained and updated. Whilst this technique will work, it does have a number of issues that can arise over time. Often projections will be held in a secondary reference table and needs to be joined on to the original data set along with the scaffold. Projecting these is an art in their own right, but applying common forecasts can improve the value of the analysis greatly. Being able to remove rows of projected revenues or determining levels of retention and applying the drop off of those customers takes a lot of thought.ĭepending on the increment of time the subscription is over, factors like inflation or changing exchange rates should be considered and applied to accurately represent the value of the revenue earned. Just because a customer signs up to a subscription based product, doesn't mean that they will maintain those payments due to affordability or changing needs. Reporting on revenue that has not happened yet can be presumptuous. To reduce the impact of these issues, filtering at the Data Source level can make a significant difference. Adding the huge number of rows to potentially an already large dataset can really test the working memory of your computer too. Computing power - not everyone has a brand new, powerful computer to use.Storage of data - the larger the dataset, the greater the amount of storage that you will need to have for the dataset.The most significant issue is that this technique will multiple the size of the dataset you are analysing considerably. The scaffolding technique does add the additional rows of data required for analysis but creates a number of other challenges that should be considered:

#Tableau prep bigquery software#

Subscription music, software or food packages are increasing the way many purchases are being made creating a bigger need for any data analyst to be able to work with subscription data. Subscription pricing is where the consumer pays a regular, often smaller amount, on a regular basis rather than a large initial purchase. There are many challenges that the Scaffolding techniques meet but those numbers are growing rapidly due to subscription pricing.