Embedded Analytics

Looker est le seul fournisseur d'analytiques embarquées à aider les ingénieurs à développer des produits à partir de workflows flexibles de développement logiciel qu'ils attendent.

L'intégration d'analytiques dans votre offre de produit est une stratégie efficace de monétisation de vos données, qui a fait ses preuves. Voici quelques bonnes pratiques.

Ce guide de comparaison technique se propose d'examiner les principaux critères d'évaluation des plateformes d'analytiques embarquées.

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.