A data platform with Business Intelligence (BI) at its core. Besides data visualization, Looker also enables data modeling and data activation.

Operational AnalyticsBusiness IntelligenceReverse ETL

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 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

What are the core features of Looker?

    Data exploration and visualization using SQL
    Data modeling using LookML
    Data activations using Actions

Which teams does Looker cater to?


Authored By

Arpit Choudhary's profile on astorik

Arpit Choudhury

Founder, Astorik