Looking for ways to Load, Transfer and automate your Google Analytics data into Microsoft SQL Server, PostgreSQL, BigQuery, Redshift, Snowflake and other data warehouse?

Last year I wrote this article on how to automate data transfer between facebook ads  data into multiple destinations, it seems like that is on google first page and also received few positive responses from readers. So I thought of just replicating the same thing for other tools as well. Hoping this saves people time testing out different approaches. Basically the approaches from the first article is same but the ingredients and recipe are different. let’s go through 

Marketers, analyst and companies are increasing their usage of Google analytics in default interface into advanced models. In my company, we try to bring the Google Analytics Premium data into Google BigQuery where we allow our analyst and data scientist for further use cases.

Why do we need this Google Analytics Data automation?

The important benefit of this usage is saving time.

Easy to scale the same approach whether you are a boutique agency or multi-brand owner who owns more than dozens of account.

In advanced analysis especially for machine learning and multiple data connection between different marketing/crm tools, we need a proper marketing datawarehouse

Predictive data modelling/natural language processing that can be only achieved if we have proper data infrastructure. Especially in marketing, it is critical as we are the one who strategizes the growth of the company by collecting audience data to analysing

Other use cases are

Also, Each one of us works in different technology stack, so am going to share short snippets of every possible way and so you can explore further on this. This information provided here are only a awareness of different approaches and not a in depth explanation as each company mentioned below has more expert posts than I can provide.

Transferring to Google Sheet

You may just want to transfer the data directly into google sheet in an automated(hourly/daily) fetch for simple reporting like budget monitoring, creative report, or simple analysis from multiple linkedin ad account data. For this case, the best and affordable ways are

Transferring to BigQuery

Usages like the advanced analysis from 100+ accounts with terabytes of data, building a marketing data warehouse for business intelligence (BI) or for any machine learning analysis where analyst wanted to pull numbers into their R Studio or Python environment, it is efficient to fetch data from Bigquery or any storage solutions. There are multiple ways to do from Manually writing api to automate, so I would recommend considering ready-made solutions as it is easy to start faster

Transferring to Google Sheet and then to Bigquery

Cases like where you want to clean these data before it gets passed to Bigquery, you need some environment, Google has it’s beta solution of data prep to do this but not everyone can afford to expertise to achieve this or even you can do SQL queries to clean and merge data directly in Bigquery interface but you want the simplest solution where everyone can play a part in cleaning. Anyway, it’s up to your requirements. So you can

Transferring into Tableau directly

What If you are already using business intelligence tool like tableau and your company is not in google environment and Microsoft product. simple..

Google Analytics Tableau Connector

Transferring to Google sheet and then to Tableau

A case you are not a SQL expert  but you are expert at Excel formula and a big believer in coding is for losers  or your requirement itself has something to do with Google sheet. Similar to Bigquery, Tableau also has a free inbuilt google sheet connector that makes our job easier to connect to Google sheet which means

Transferring into Bigquery > R Studio/Python Environment > then to Tableau

What if you are a data scientist and expert analyst you want to get the terabytes of data into Bigquery as Google sheet cannot accompany your requirement of more than 2million cells? Or you want to pull data into Bigquery , then push to Rstudio/python environment for further data modeling or prediction algorithms and then push to Tableau.

Transferring to Microsoft Excel

You may say “My company is not in Google apps environment” or “Google sheet is for kids :D” or “Google sheet has lot of limitation and can be very slow sometimes”. No worries, free tool and paid tools availableF

Transferring to Google Data Studio directly

Ooh! Finally, the free visualization tool is available  And for budget users, the perfect love comes from Google.

For direct transfer:

Transferring into Snowflake, Panoply

Transferring into Periscope, PowerBI, Looker

Transferring into MySQL,PostgreSQL

Transferring into Amazon RDS, Redshift

Transferring into Microsoft SQL Server, Microsoft Azure

In simple, list of the tools available for transfer to Bigquery, Google Sheet, Snowflake, Microsoft Excel

  1. Supermetrics
  2. Owox BI
  3. Stitchdata.com
  4. Blendo
  5. Fivetran
  6. Funnel.io
  7. Xplenty
Summary

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