How to optimize prices with DataPrep, BigQuery, and Looker

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Опубликовано 4 ноября 2021, 16:00
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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

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product: Cloud - General; fullname: Leigha Jarett;
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