Ebook
Visual Analytics and Data Storytelling for Business Intelligence
A practical guide to governed reporting, visual analytics, and BI operating models for teams that need clearer decisions from shared data.
This guide is for data and business teams that need a stronger BI operating model, not another dashboard backlog.
It explains how to connect source systems, define trusted metrics, and give business users a clearer way to understand performance.
What the guide covers
- Connecting and combining data from multiple sources.
- Building a data lake, warehouse, or reporting layer that teams can trust.
- Choosing BI tooling across Looker, Power BI, Tableau, and cloud-native services.
- Managing cost, license use, and operational ownership.
Where SquareShift helps
SquareShift works across data engineering, semantic modeling, BI migration, dashboard design, and analytics operations.
The work usually starts with a focused review of the reporting estate, then moves into implementation, migration, or managed improvement.
Useful when
- Reports disagree across teams.
- Business users wait too long for answers.
- Legacy BI tools are slow, expensive, or hard to govern.
- A migration to Looker, Power BI, Tableau, or a cloud data platform is already under discussion.
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