Looker
A data platform with Business Intelligence (BI) at its core. Besides data visualization, Looker also enables data modeling and data activation.
Teams
Looker
caters to:
What need does
Looker
fulfill?
Looker fulfills the need for a self-serve analytics tool that anybody with SQL skills can use to query the data stored in a company’s data warehouse, visualize the data as reports, and build shareable dashboards for consumption by the entire company.
Like any BI tool, Looker can be used to analyze any type of data that is stored in the data warehouse and analysts can also build data models using LookML, Looker’s data modelling language.
Additionally, Looker Actions enables you to make your reports actionable by sending data to downstream tools and triggering workflows. This is also known as Operational Analytics and is essentially a Reverse ETL feature wherein instead of syncing data from a warehouse to external tools, you can sync data from Looker itself.
What are the core features of
Looker
?
- Data exploration and visualization using SQL
- Data modeling using LookML
- Data activations using Actions
What are the benefits of using
Looker
?
- Derive insights from data and share them as reports and dashboards
- Take action on the insights by triggering workflows in external tools
- Make self-serve analytics a reality
