+ Data Model Layer via LookML which ensure consistency of data, scalability of data governance and data definition, and arguably best self service analytics
I believe Looker is one of the few Data visualization layer on BI stack that have a proper data model layer. The only other BI tools that have something comparable would be holistics.
By having LookML as its data model layer all dashboards will have consistent result since its referring to the same data model layer that is managed collaboratively.
-scalability of data governance
managing user access to certain datasets or even fields is scalable as you manage it via lookML. even if you have 1000 dashboards, all 1000 dashboards user access level is controlled centrally in lookML. Prior to using looker I use other highly popular BI tools which almost any startup I know use, once you have so many dashboards, managing its user access becomes a nightmare. In looker, this problem is solved beautifully
-scalability of data definition
if there is a need to change the formula behind certain field, it need to be done once in the lookML layer and it will be applied to all the dashboard that use the data model. making the change of data definition much more manageable compared to other tools
-best self service analytics
with other tools, I will be more hesitant to let business users to directly have the power to generate their own report/dashboard since they may then includes their own data from excel/csv files which then may compromise the data accuracy / consistency.
with looker, self service analytics will be attainable without the need to compromise on data accuracy and consistency
Analyst can maintain data model layer together in the lookML, rather than working SILO managing data sources for each of their dashboards.
Analyst can check the SQL query behind each chart, therefore enabling them to regenerate it in other platform if needed
other tools perhaps only provide capability to schedule report / alert if certain metric meet certain condition.
in looker you can have data action towards salesforce, zapier and others. therefore you may directly act based on your data to looker to communicate with end user. using zapier you can also connect it to JIRA/wrike/trello to create a ticket that user need to close if certain condition is met, therefore any problem seen in the data will be trackable in project management tools whether the case has been solved or not
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