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Insights & Ideas

Practical notes on business intelligence, data warehouses, ETL, and analytics engineering from the BI Forge team.

  • 2026-07-06

    From spreadsheets to a trustworthy warehouse

    A staged path for teams stuck in Excel chaos who need a warehouse without a multi-year rewrite.

  • 2026-06-29

    Managed analytics vs building in-house

    How to decide between a managed analytics partnership and a fully internal BI platform team.

  • 2026-06-22

    Metadata catalogs that data teams actually use

    How lightweight catalogs, ownership, and search beat encyclopedias nobody opens.

  • 2026-06-15

    ETL vs ELT for modern analytics stacks

    When to transform before load versus inside the warehouse—and how mixed approaches usually win.

  • 2026-06-08

    Choosing a cloud data warehouse for BI

    A practical checklist for picking a cloud warehouse that fits analytics workloads, cost, and team skills.

  • 2026-06-01

    Data integration patterns that scale BI

    Practical patterns for integrating operational systems into a warehouse without fragile point-to-point feeds.

  • 2026-05-25

    KPI dashboards that teams actually trust

    Design patterns for dashboards that stay credible: clear grain, owned metrics, and honest freshness.

  • 2026-05-18

    Analytics engineering and the semantic layer

    Why a shared semantic layer keeps BI metrics consistent across tools, teams, and dashboards.

  • 2026-05-11

    Modern data warehouse ETL for reliable BI

    How BI teams design ETL pipelines that keep warehouses trustworthy, auditable, and ready for dashboards.

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