How to optimize prices with DataPrep, BigQuery, and Looker

How can your business change prices when the data required to drive pricing changes is scattered across multiple platforms? In this episode of Data Science & Analytics Accelerators, Developer Advocate Leigha Jarett talks about combining data from multiple sources into a schema and then using Cloud Dataprep to standardize the data into a more readable format. Once formatted, we will show you how analysts use BigQuery to explore trends and impacts of prior pricing changes so you can make informed business decisions.

Chapters:
0:00 - Intro
1:10 - Solution overview
2:07 - Transforming data with Dataprep
4:24 - Analyzing historical trends with BigQuery
5:00 - Forecast future sales with BigQueryML
5:26 - Make insights accessible with Looker

#DataScienceAndAnalyticsAccelerators

product: Cloud - General; fullname: Leigha Jarett;

[MiguelJimenez-cuft]

Great video Leigha Jarett. In order to have a good prediction, how many years of historical data do you recommend to have before trainning the ML model? thanks in advance...