AI TOOL PROFILE

Looker Business Intelligence and Embedded Analytics

Looker helps mid-market and enterprise companies manage governed data and deliver insights through dashboards and embedded apps. It is designed for teams needing a consistent source for business metrics.

Pricing

Looker uses a two-component pricing model consisting of platform fees and user licensing. Editions include Standard (for teams under 50 users), Enterprise, and Embed, all of which require an annual commitment and a custom quote from sales.

At a glance

Best for
Mid-market companies, Enterprise companies, Data analysts, Operations managers, Organizations using Google Cloud
Key use cases
Cloud Cost Management, Data Monetization, Marketing Data Analysis, Operational Workspace Audits, Governed Self-Service Exploration
Integrations
BigQuery, Google Sheets, Google Analytics, Google Workspace, Vertex AI
Visit LookerLooker software interface screenshot

How AI is used

Looker is a business intelligence platform integrated into the Google Cloud ecosystem. It is designed for organizations that need to move beyond static reporting to create a governed environment where data definitions are consistent across the company.

The platform is intended for data analysts and business leaders in mid-market and enterprise settings. It supports the creation of dashboards, data exploration through a self-service interface, and the development of custom data applications using an API-first approach.

A key component is the semantic modeling layer, which allows analysts to define business rules centrally. This helps ensure different departments see consistent results for the same metrics. The platform also offers embedded analytics to integrate interactive data views into external applications.

Buyers should confirm that the platform requires technical familiarity for initial data modeling and requires a custom quote from sales for pricing.

Key Features

  • LookML Semantic Layer

    A SQL-based modeling language used to centrally define and manage business rules and metrics.

  • Embedded Analytics

    Supports integrating interactive dashboards and data experiences directly into external applications.

  • Conversational Analytics

    A feature powered by Gemini that helps users ask data questions using natural language.

  • API-First Platform

    Provides API coverage to help build custom data applications and automate workflows.

  • Looker Studio Integration

    Connects Looker's governed semantic model with Looker Studio's visualization tools.

  • Vertex AI Integration

    Supports the creation of custom AI workflows and analytics via Looker extensions.

Use Cases

  • Cloud Cost Management

    Using reporting to identify high-cost problems and inefficiencies across multicloud spending.

  • Data Monetization

    Creating tailored data products and embedding analytics to generate revenue streams from organizational data.

  • Marketing Data Analysis

    Analyzing first-party data to build custom segments for activation in tools like Google Analytics.

  • Operational Workspace Audits

    Monitoring Google Workspace usage and performing security audits through modeled schemas for Gmail, Drive, and Meet.

  • Governed Self-Service Exploration

    Supporting business users in exploring data and drilling down to row-level detail using pre-defined metrics.

Integrations

  • BigQuery
  • Google Sheets
  • Google Analytics
  • Google Workspace
  • Vertex AI
  • Slack

FAQ

What is LookML?

LookML is Looker's SQL-based modeling language that allows analysts to centrally define business rules and metrics so that users see consistent data.

Who is Looker best for?

It is designed for mid-market and enterprise companies that need a scalable, governed way to share data insights across an organization.

How does Looker's pricing work?

Pricing is split into platform costs and user licensing (Developer, Standard, and Viewer). It requires an annual commitment and custom quotes from the sales team.

Can Looker be integrated into other apps?

Yes, Looker provides embedded analytics and an API that allows businesses to integrate interactive dashboards and data experiences into their own applications.

Source category: Data & Analytics

Source subcategory: Business Intelligence

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