Looker Resources

97% of customers recommend Looker in BARC’s The BI & Analytics Survey 2022.

Learn why modernizing your business intelligence (BI) initiatives is key to harnessing the opportunities present in this era of hyperconnectivity.

Looker connects to Google BigQuery to make massive amounts of data instantly accessible and useful across your organization.

Forrester Consulting conducted a Google-commissioned Total Economic Impact™ (TEI) study to examine the potential return on investment (ROI) organizations may realize by deploying Looker.

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

In this white paper, you will walk through the business value of building data applications on Looker and learn about some of the developer tools that make it all possible.

This guide is intended to help companies make an informed BI platform purchase decision using modern evaluation methodology.

In this technical comparison guide, we examine the most important criteria for evaluating embedded analytics platforms, in order to help you to make the best decision for your product experiences, internal teams and technical requirements.

When Looker is connected to Google BigQuery, data teams can draw on the performance, concurrency, elasticity, and advanced features of BigQuery to provide faster, deeper and more impactful insights.

As a part of its digital transformation journey with Google Cloud, MLB modernized its business intelligence with Looker, Google Cloud’s modern BI and data application platform. Read on for a play-by-play highlight reel of its migration strategy and the benefits to its 30 Clubs, sponsors, marketing professionals, fans, and more.

Leveraging BigQuery and Looker has transformed how Pendo analyzes, accesses, and acts on data to drive its business. The modern data stack enables Pendo to take action on valuable insights to continually improve processes and outcomes for sales, customer success, and marketing teams.

When shifting from print to digital, Auto Trader wanted to empower all of its employees to make data-driven decisions, while also surfacing insights to their retailers and consumers. By migrating and centralizing data in the cloud and deploying Looker, Auto Trader was able to embrace digital transformation and leverage data for their internal and external stakeholders.

After testing multiple products, the SoundCommerce team chose to build their data platform on Google Cloud, BigQuery, and Looker, to provide customers ways to shift ad spend, inventory, and resources as they adjust to market changes.

Uberflip employs Looker’s business intelligence and data application platform to embed analytics in their product as well as deliver data to their internal users. With Looker powering the Uberflip Analytics solution, customers can see how content and campaigns are performing, empowering them to optimize their marketing investments.

eMoney selected Looker as their business intelligence platform as Looker’s modeling layer, LookML, allows the data team to define metrics once and then ensure anyone who explores and creates reports on their own will be using the same metric definitions, achieving their data governance requirements.

Drizly made use of Looker, Google Cloud’s modern business intelligence and data application platform, for internal analytics to support account management and sales teams as they met demand surge. Their use of data proved to be a strategic resource to provide insights into customer behavior, drive investment decisions, and boost growth.

Assurance IQ is experiencing business benefits across the organization with Looker. The company’s data scientists and engineers are frequently finding new ways to use this platform to gain efficiency and create business value.

After evaluating different solutions, Vivino chose Looker for its ability to provide trusted metrics across the organization, aiding every department make better decisions for their customers. Looker’s modeling layer, LookML, ensures data governance and metric definitions across datasets and queries, bringing trust back into the data and decision-making process.