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37:20The focus of modern business intelligence has been self-service; pushing raw data into the hands of end users quickly with an accessible user interface so they can get their own answers fast. This has
Quick iteration and reusability of metric calculations for powerful data exploration. At Looker, we want to make it easier for data analysts to service the needs of the data-hungry users in their org
45:07The focus of modern business intelligence has been self-service; pushing data into the hands of end users more quickly with more accessible user interfaces so they can get answers fast and on their ow
In this webinar we will discuss Looker’s novel approach to data modeling and how it powers a data exploration environment with unprecedented depth and agility. Some topics we will cover: -A new arc
Cohort Analysis is a great way to calculate various metrics in your organization such as customer lifetime value and retention analysis.
3:35Looker Analyst, Chris Billet, runs through LookML filtering parameters on the explore level. Through these filtering expressions, you can specify the field you'd like to filter on for future queries.
1:31Business users can drive engagement and improve retention by creating a cohort analysis in Looker. In this demo, we create a dataset starting with the date in which users signed up to a website. Then
3:26Lindsey Meyer, Support Analyst at Looker, takes us through some basics to begin writing LookML.
9:12Looker Founder and CTO Lloyd Tabb will introduce a major new component to the modeling layer that lets you build interesting and complex computational patterns.
Producing direct value for businesses via quantitative models. New analytical tools such as Looker allow data analysts to speed up the dirty work around building data models—making it less painful to
54:00New analytical tools such as Looker allow data analysts to speed up the dirty work around building data models—making it less painful to clean data, explore predictive factors, and evaluate results.
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