Shopping Centers POI Dataset | Analyst | Canada | 39 attributes

CAP Shopping Centers (POI) - Analyst

• Total Shopping Centers: Covers 3,500+ shopping centers across Canada with an expansive dataset for in-depth analysis.

• Purpose: The most comprehensive resource for analyzing the Canadian shopping center landscape, providing full horizontal and vertical market insights.

• Data Coverage: Includes all data from the Premium dataset, expanding to 39 total attributes for deeper market evaluations.

• Attributes: Provides extensive metrics covering tenant distribution, operational efficiencies, and shopping center classification.

• Unique Property ID: Each location has a distinct identifier for seamless data integration and accurate referencing.

• Advanced Geospatial Insights: Features a multi-stage geocoding process developed by CAP, ensuring the highest level of mapping precision for spatial analysis.

• Developer & Ownership Details: Includes key data points such as:

• Center Type: Operational, Proposed, or Redeveloped.

• Year Built & Remodeled: Historical and current construction data.

• Owner/Developer Profiles: Comprehensive details on ownership structures and development trends.

• Operational Status & Redevelopment Plans: Insights into future shopping center changes and investments.

• Geographic & Classification Variables: Offers detailed segmentation and regional analysis for better decision-making.

• Expansion & Market Strategy: Helps businesses identify prime locations, assess shopping center distribution, and benchmark against national and local trends.

• Placekey Integration: Ensures consistency in location-based analytics for seamless cross-platform data usage.

• Decision Support: A data-driven competitive edge for analysts, data scientists, and business strategists to assess market opportunities, streamline operations, and drive strategic growth.