Driving Business Decisions with Embedded Analytics

The leading provider of commercial water management services in the United Kingdom leveraged Looker’s data application platform to build faster, more flexible reports for their customers.

SoundCommerce provides an out-of-the-box data platform for retail brands to help them better forecast and manage inventory while providing the most seamless customer experience.

Harver, a leading pre-employment assessment software company, enables its customers to transform their hiring process into a digital and fair experience.

Vivino’s unique wine shopping experience uses community data to provide personalized wine recommendations—making wine discovery fun, accessible, and effortless for wine drinkers of every level.

In this overview we highlight the benefits, features and value of Looker for Embedded Analytics, to help you make the best decision for your product experiences, internal teams and technical needs.

In this technical comparison guide we examine the most important criteria for evaluating embedded analytics platforms.

In this whitepaper, we'll guide you through the most important considerations and best practices for successfully monetizing data with embedded analytics.

See why choosing an alternative to Sisense makes sense with experiences from actual customers that chose Sisense as their BI solution and later replaced it.

Urban Airship tapped Looker’s easy-to-install embedded analytics to help leading brands engage their mobile users and maximize their reach.

An in-depth look at why the traditional approach of using centralized analytics often lack the context individual organizations need to make truly informed decisions.

Blue Hill Chief Research Officer Hyoun Park notes in this infographic how Looker, an in-database analytics platform, enables companies to get value from all of their data for all of their employees.

Blue Hill Chief Research Officer Hyoun Park notes in this infographic how Looker, an in-database analytics platform, enables companies to get value from all of their data for all of their employees.