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Visual Analytics and Data Storytelling with Looker
A practical guide to Looker, governed metrics, embedded analytics, and visual data storytelling for teams modernizing BI.
This guide is for teams that want to move from static reporting to governed analytics that business users can trust.
It explains how Looker can support visual analytics, embedded reporting, and a semantic layer that gives teams consistent definitions.
What the guide covers
- Common BI problems that slow decision-making.
- How Looker supports governed self-service analytics.
- The role of LookML and semantic modeling in trusted reporting.
- Examples of self-service BI and embedded analytics.
- SquareShift's Looker implementation and migration services.
Where SquareShift helps
SquareShift works with teams that need to design, migrate, operate, or improve Looker environments.
The work can include semantic-layer design, dashboard rebuilds, embedded analytics, BigQuery integration, Tableau-to-Looker migration, and analytics enablement.
Useful when
- Business teams do not trust the numbers they see.
- Analysts spend too much time reconciling reports.
- A Looker rollout needs stronger architecture and delivery support.
- Embedded analytics is part of a product or customer portal plan.
Talk to us about the work behind this publication.
We can help turn the evaluation into a practical roadmap, prototype, or production system.