List of 5 Best POI Data Providers
In today's data-driven world, Point of Interest (POI) data is crucial for businesses seeking to optimize their operations and improve customer experiences.
One of the most valuable types of geospatial data is point of interest (POI) data, which provides detailed information about specific physical locations.
From retail and real estate to finance and urban planning, POI data is being used to analyze neighborhoods, determine optimal facility placements, and identify promising investment opportunities.
However, the value derived from POI data largely depends on its quality. Choosing a reliable POI data provider is crucial for ensuring the data's accuracy, relevance, and usability.
Here, we will explore the essential considerations for selecting a POI data provider and highlight the key attributes that high-quality POI data should possess.
How to Choose POI Data Providers
Choosing a POI data provider is a strategic decision that can significantly impact your business's ability to make informed decisions. Here are key considerations to guide your selection process:
Data Credibility and Reliability
Source Verification: Ensure the provider sources their data from credible and reliable channels. This could include direct partnerships with businesses, government databases, or other authoritative entities.
Update Frequency: The timeliness of data updates is critical. Frequent updates ensure the data reflects the most current state of reality, which is essential for making accurate decisions.
Accuracy and Precision: Look for providers that emphasize accuracy in their datasets. This means fewer errors and more precise location information, which is crucial for applications like delivery services or urban planning.
Data Coverage and Granularity
Geographical Coverage: Consider whether the provider’s data covers the geographic regions relevant to your business. This could range from local to global coverage depending on your needs.
Point Density: Assess the density of points of interest in the provider’s dataset. A higher density can offer more detailed insights, especially in urban areas with many points of interest.
Accessibility and Integration
Ease of Access: Evaluate how easily you can access and use the data. Providers should offer data in formats that are compatible with your existing systems, such as CSV files, APIs, or integration with GIS platforms.
Processing Requirements: Consider the level of processing required to make the data usable. The less processing needed, the faster you can derive actionable insights.
Use Case Alignment
Specific Needs: Identify your specific use cases and ensure the provider can meet those needs. Whether it’s for market analysis, site selection, or competitive analysis, the data should align with your objectives.
Customization Options: Check if the provider offers customization options to tailor the data to your specific requirements.
Key Attributes of POI Data Providers
The attributes included in POI data are crucial in determining its utility. Here are the essential attributes to look for:
Location Information
Address and Coordinates: Accurate street addresses and latitude/longitude coordinates are fundamental. Ideally, the dataset should provide both to ensure flexibility in usage.
Geospatial Data: This includes boundaries, polygons, or shapes representing the physical footprint of points of interest, which can be vital for detailed spatial analysis.
Contact Information
Name and Address: Basic contact details such as the name of the place, its mailing address, and phone number are essential.
Digital Presence: Information about a place’s website, social media accounts, or other online presence can provide additional context and avenues for contact.
Categorization
NAICS Codes: The North American Industry Classification System (NAICS) codes categorize businesses by type of economic activity. This standardization helps in segmenting and analyzing data.
Additional Tags: Beyond NAICS codes, additional tags can offer further insights into the nature of a business, such as specific services offered or types of products sold.
Branding and Business Information
Brand Name and Parent Company: Information on the brand and its parent company can help in understanding the business structure and brand reach.
Operational Details: Data on hours of operation, date of establishment, and closure dates (if applicable) provide context on the business lifecycle and operational status.
Data Quality and Completeness
Attribute Fill Rates: High attribute fill rates indicate that the data is comprehensive and covers a wide range of details for each point of interest.
Consistency and Standardization: Consistent formatting and standardization across the dataset ensure reliability and ease of use.
Data Usage Rights
Flexibility of Use: Understand the terms under which you can use the data. Some providers have restrictive terms, while others offer more flexibility, allowing data to be used in various applications.
Licensing and Compliance: Ensure that the data usage rights align with your business needs and comply with any legal or regulatory requirements.
1. Factori
Best for: Providing a diverse range of external datasets and APIs, including POI, Mobility, Identity, Interest, Intent, and Consumer Graphs.
Factori is a leading global data provider trusted by over 100 international brands across various industries.
Factori offers comprehensive POI data solutions. Its mission is to be the go-to external data partner for businesses aiming to gain a competitive edge in today’s AI-driven world.
Factori prioritize data security, adhere to the highest standards of privacy compliance, and provide flexible delivery options tailored to our clients' preferences.
2. SafeGraph
SafeGraph is a leading provider of geospatial data, offering accurate information on over 40 million points of interest worldwide.
With some of the highest fill rates for nearly 40 attributes, nearly half of SafeGraph's POIs include polygon-based building footprints and spatial hierarchy metadata. Their datasets are updated monthly, ensuring that organizations receive fresh, reliable data.
3. Foursquare
Foursquare updates and reinforces its global POI data through its consumer-facing applications, Foursquare City Guide and Swarm. Users can "check-in" at points of interest, contributing additions or corrections to the data.
While this voluntary process may not always enhance precision or completeness, Foursquare's POI data remains extensive and valuable, though it lacks polygon-based building footprints.
4. Placer.ai
Placer.ai is a leading data provider offering advanced POI solutions. Using machine learning techniques, Placer.ai identifies millions of points of interest nationwide and analyzes their performance.
By employing advanced geofencing techniques, Placer.ai creates accurate polygons representing a POI’s perimeter. Aggregated, statistical foot traffic analytics derived from mobile device location data (stripped of personal identifiers) allow users to closely examine visitation patterns.
These analytics can be integrated with multiple datasets to provide in-depth, actionable location intelligence.
5. Precisely
Precisely is renowned for its data management tools and extensive portfolio of geospatial data. Its POI data features a granular classification system and is easily integrated with other geospatial datasets due to the PreciselyID standard for identifying locations.
However, this standard can sometimes result in duplicate entries. While Precisely offers polygon-based building footprints, it lacks spatial hierarchy metadata to indicate when certain places are within larger locations. Additionally, Precisely's geospatial data can be quite expensive.
Conclusion
In order to choose the best among the POI data providers to meet the diverse needs of your business, check for the factors related to data security, privacy compliance and flexible delivery options.
It starts with the quality of the data and customer experience which matters more for the businesses. Do try out the sample Free POI data to get the view about how it works and how many attributes it contains.
Until next time, stay tuned with Factori for more articles in the Data World.
