Session 2: Location-Based Insight: Bringing Spatial Thinking into BI and Analytics (Global)
Автор: Philippa Burgess
Загружено: 2026-03-05
Просмотров: 4
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🔗 Register here: https://luma.com/fc570gca
🌍 Session 2 — Spatial Data Preparation & Enrichment Workflows
Spatial analytics does not begin with a map. It begins with data preparation.
In this session, we focus on the practical workflows required to structure, clean, and enrich spatial datasets inside modern BI and analytics environments.
This discussion covers:
• Preparing location-based datasets for analysis
• Geocoding and boundary alignment fundamentals
• Integrating external spatial layers such as demographic, environmental, or infrastructure data
• Managing coordinate systems and data normalization
• Building repeatable enrichment workflows inside Microsoft Fabric, Power BI, and related platforms
The goal is simple: move from raw location fields to analysis-ready spatial datasets that support pattern detection, reporting, and operational insight.
Spatial enrichment adds context. But without clean preparation and governance, spatial data introduces noise instead of clarity. This session walks through how to build workflows that scale across teams and enterprise data environments.
Designed for BI professionals, analytics engineers, data architects, and platform leaders looking to embed spatial context into existing reporting pipelines.
🔗 Register here: https://luma.com/fc570gca
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