Location-Based Insight: Bringing Spatial Thinking into BI and Analytics (Global)
📅 Thursday, March 5, 2026
⏰ 6:00 AM – 10:15 AM PT | 7:30 PM - 11:45 PM IST
📍 Virtual Event (YouTube Live)
💰 Free
Hosted by Maps Data Design | GeoCyber Systems LLC
🧭 About This Event
Spatial thinking is becoming a practical skill for BI, analytics, and data teams — not because they’re becoming GIS professionals, but because spatial capabilities are now embedded directly into the tools they already use.
Power BI, Microsoft Fabric, Excel, and modern data platforms now include Esri-powered mapping and GeoAnalytics features. Teams are being asked to answer questions about coverage, movement, proximity, and risk that are difficult to see in tables and charts alone.
This event focuses on how spatial analytics actually fits into BI and analytics workflows — from data preparation and enrichment through analysis, visualization, and operational use.
Managers and leaders can attend for strategic framing and decision context
Practitioners can stay for the technical sessions and workflow detail
No GIS background required.
No coding required to follow along.
Clear technical concepts, real workflows, and practical boundaries.
👥 Who Should Attend
This event is designed for professionals working with data and analytics, including:
BI professionals and analytics engineers
Data scientists and data platform architects
Analytics managers and team leads
Cloud and data strategy leaders
Professionals curious about spatial data without formal GIS training
🎯 What You Will Learn
By attending, you will:
Understand where spatial thinking fits into modern BI and analytics workflows
Learn how spatial data is prepared, enriched, and analyzed inside Fabric and Power BI
See how GeoAnalytics supports large-scale pattern detection and aggregation
Learn how to visualize spatial results responsibly and clearly
Know where native BI tools end — and when GIS expertise should be involved
Gain frameworks for building spatial literacy across teams
🧩 Agenda
🟠 Opening Plenary — 30 Minutes
6 am - 6:30 am PT | 7:30 am - 8 pm IST
Teams Link: https://bit.ly/Opening_GA
Meet the speakers:
Session 1 — GeoAnalytics Foundations: Spatial Thinking for BI Teams Philippa Burgess
Session 2 — Spatial Data Preparation & Enrichment Workflows Malika Mujahid
Session 3 — Pattern Detection & Analysis at Scale Philippa Burgess
Session 4 — Spatial Visualization & Reporting Across BI Tools Krishna vamsi Regulavalasa
Session 5 — Operational Spatial Workflows & Team Collaboration Reyhan Luyai
Why Spatial Thinking Shows Up in Modern Analytics Workflows
Why location context is becoming standard in BI and analytics
How Fabric + Esri helps answer coverage, movement, and risk questions
Where spatial analytics adds value beyond charts and tables
How to use this event: conceptual framing vs. technical sessions
🔵 Session 1 — 45 Minutes
GeoAnalytics Foundations: Spatial Thinking for BI Teams
6:30 am - 7:15 am PT | 8 pm - 8:45 pm IST
Speaker: Philippa Burgess
Teams Link: https://bit.ly/Session1_GA
What this session covers:
Core spatial concepts: points, lines, polygons, layers, and joins
How spatial thinking changes the question, not just the visualization
Spatial joins and aggregation as analytical tools, not GIS tricks
How these concepts apply across Fabric, Power BI, and Excel
Where spatial logic lives in Microsoft analytics platforms
Technical takeaway:
Understand core spatial concepts and how they appear across Fabric, Power BI, and Microsoft 365.
🟢 Session 2 — 45 Minutes
Spatial Data Preparation & Enrichment Workflows
7:15 am - 8:00 am PT | 8:45 pm - 9:30 pm IST
Speaker: Malika Mujahid
Teams Link: https://bit.ly/Session2_GA
What this session covers:
Preparing and transforming spatially enabled datasets
Point-in-polygon enrichment and spatial lookups
Using ArcGIS Living Atlas data from Fabric and Power BI
Automating spatial enrichment with Dataflows Gen2 and pipelines
Handling coordinate systems and common data quality pitfalls
Technical takeaway:
Learn practical spatial data prep and enrichment patterns that fit BI pipelines.
🟡 Session 3 — 45 Minutes
Pattern Detection & Analysis at Scale
8:00 am - 8:45 am PT | 9:30 pm - 10:15 pm IST
Speaker: Philippa Burgess
Teams Link: https://bit.ly/Session3_GA
What this session covers:
Spatial aggregation, clustering, and density analysis
Detecting trends and patterns in large spatial datasets
Combining spatial patterns with time and business metrics
Example use cases: service coverage, routing, and risk scoring
Validating results and avoiding common misinterpretations
Technical takeaway:
Understand how GeoAnalytics supports large-scale spatial analysis beyond tabular summaries.
🟠 Session 4 — 45 Minutes
Spatial Visualization & Reporting Across BI Tools
8:45 am - 9:30 pm PT | 10:15 pm - 10:45 pm IST
Speaker: Krishna vamsi Regulavalasa
Teams Link: https://bit.ly/Session4_GA
What this session covers:
Mapping spatial results in Power BI and Fabric experiences
Using ArcGIS for Power BI and ArcGIS Maps for Microsoft Fabric
Choosing the right map type for the analytical question
Using Excel maps for validation, QA, and stakeholder review
Visual standards that improve clarity and consistency
Technical takeaway:
Learn how to communicate spatial insight clearly across BI and reporting tools.
🟣 Session 5 — 45 Minutes
Operational Spatial Workflows & Team Collaboration
9:30 pm - 10:15 pm PT | 10:45 - 11:30 pm IST
Speaker: Reyhan Luyai
Teams Link: https://bit.ly/Session5_GA
What this session covers:
End-to-end spatial workflows from data ingestion to insight
Defining ownership of authoritative spatial layers
Templates for handoffs between data engineering, BI, and GIS
Governance basics: lineage, access controls, and alignment
Scaling spatial workflows responsibly across teams
Technical takeaway:
Understand how to operationalize spatial analytics without blurring BI and GIS roles.
🚀 Why This Matters Now
Spatial capabilities are expanding rapidly inside mainstream data platforms.
Teams are being asked to use maps and location data — often without guidance.
This event provides clear technical framing, practical workflows, and responsible boundaries so analytics teams can use spatial insight effectively and confidently and know where GIS teams fit into workflow and analysis.