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Data analytics & BI

Looker

Google Cloud's BI platform, built around one central data model written in code.

  • Business intelligence and semantic layer
  • Typical project: 6–14 weeks
  • Google
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Overview

Looker's core is LookML, a modelling language where the data team defines metrics and joins once, in Git. Every report uses the same definitions, so “revenue” means the same thing everywhere.

It queries the warehouse directly, with no extracts, and is strong for embedding analytics in products. It pairs naturally with BigQuery but works with most warehouses.

Names you'll meet

  • Looker
  • BigQuery
  • Looker Studio
  • Gemini

What's inside

  1. 1

    LookML

    A version-controlled model of metrics and joins.

  2. 2

    Explores

    Self-service exploration on top of the model.

  3. 3

    Dashboards & alerts

    Share and schedule results.

  4. 4

    Embedding & APIs

    Put analytics inside apps and portals.

Is it right for you?

Best for

  • Teams that want one governed set of metrics
  • Products with customer-facing analytics
  • BigQuery users

Think twice if…

  • Nobody in the data team will learn LookML
  • You mainly need pixel-perfect financial statements

Typical projects

  1. LookML model and core dashboards6–14 weeks
  2. Embedded analytics for customers8–20 weeks
  3. Migration to Looker from another BI tool2–6 months

Typical ranges, not quotes. Scope, data and team size move them most.

Roles you'll hire

  • LookML developer
  • Analytics engineer
  • BI product owner
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Questions to ask a vendor

  1. 1How will you structure our LookML project?
  2. 2How will you keep performance and warehouse costs in check?
  3. 3Have you built embedded analytics before?
  4. 4How will business users be trained?

Find Looker partners

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