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OrganizationProduction data storagePre-processing or mungingModelingAnalytics
Satisfaction with analytics tools (1-10)
Do users need to use SQL or another query language?
Notes
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Code for AmericaPostgreSQL on AWSRuby and RRMetabase6No
Apart from engineering, our analytics users rely on tables we munge in R, pushed to a separate DB and then made accessible through metabase
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GlobalGivingMySQL on AWSPythonPython
Metabase, Google Analytics
7No
We use homemade ETL tools to create an analytics data warehouse separate from our production databases. Power users can query either directly via SQL, everyone else can interact with the analytic database via the metabase GUI tools. Some systems also have custom interfaces built-in to the GlobalGiving site.
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DonorsChoose.orgPostgreSQL on AWSPython (mainly in Google Colab)PythonLooker9No
Power users need to know SQL only if they want more advanced analytics in Looker; very few people need this
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USA for UNHCRPostgreSQL on AWSPython and RPython and RTableau9Partially
In our CRM, users have the option for helper tools, but in the data warehouse, users need to know SQL. Our CRM has limits to downloads so we are tyring to teach SQL.
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City and County of SFdepends on departmentRR9No
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list of all tools
https://github.com/thenaturalist/awesome-business-intelligence
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