For dataplor’s data intelligence tool, it’s all about location, location, location
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Making real estate investment decisions involves gathering large amounts of property data, like:
Real estate professionals must then analyze this data to uncover patterns and trends. Doing so helps them make more informed decisions regarding property appraisal, investment strategies, consumer behavior patterns and risk assessment.
By seeking ways to leverage point of interest (POI) data in real estate, you can make wiser investment decisions. Real estate companies can use POI data to select the best sites and plan projects based on market trends and potential.
POI data describes information about a specific location of interest. It offers real-time insights into the business’s products, activities, services, average number of visitors, contact information and other key data points. POI data has applications across numerous industries, including commercial real estate.
Real estate POI data helps you assess critical factors for property purchases and rentals. For instance, you might use POI data to research amenities near prospective properties, such as:
These features can make properties more appealing to homebuyers and renters. A property with higher value and desirability increases your return on investment (ROI). POI can determine the most profitable properties, allowing you to make the most informed investments. You can also make more accurate market predictions based on real estate prices and trends.
Essentially, POI data takes the guesswork out of decision-making for real estate professionals by providing data-driven insights. Below are the different ways you can use POI data to evaluate investment opportunities.
Every building, site and property has unique coordinates and surroundings. It’s essential to understand the “why” of a location in addition to the “where.”
POI data can help you predict profitability before investing in real estate. You can obtain technical records and information about building conditions. You can determine competing brands’ locations, helping you identify opportunities and risk areas.
You can better understand neighboring businesses and the types of consumers they attract. As such, POI can provide a competitive advantage when conducting investment research.
Various factors guide the real estate site selection process, such as competitors, cost-effectiveness and socioeconomic demographics.
When choosing a retail store site, for example, POI data can gauge the specific spots that will generate the highest revenue stream for businesses that lease these properties. When investing in office space, commercial real estate companies often home in on the property’s proximity to hotels, restaurants, stores, cafes and other necessities that office employees desire access to.

Whether building a school or opening a new store location, POI can enhance your knowledge of the property location to help you make smarter investment decisions. You can detect areas of interest, consumer behaviors, locality trends and other valuable insights using POI datasets.
You can gain a more holistic understanding of the property’s surrounding environment, from infrastructure to commercial activities and social amenities. In turn, you can determine if a property is right for your residential or commercial site. Additionally, real estate agents can provide prospective buyers with location options in different visual formats based on their needs and preferences.
In the real estate sector, understanding competitors, consumers and market demographics is critical for driving growth. POI can garner insights about supply and demand, location, sales prices, rental rates and ROI potential.
Every real estate professional should master and prioritize market research and analysis. They can assess whether a specific location will succeed and yield a high lease value.
POI data can help you mitigate potential risks before investing a significant sum. Real estate professionals must evaluate various factors when assessing a property’s risks. Insurance companies should also have detailed information regarding homes’ and businesses’ risk factors.
POI data can help you research past events to forecast a property’s future risks. For instance, you can determine the crime rate near a property or its susceptibility to natural disasters, such as flooding, fires, hurricanes and earthquakes.
By understanding potential risks associated with the property in question, you can make safer decisions on where to invest your resources. You can also determine how to minimize these risks. For example, you might identify an area with a high flood risk and take steps to protect the property from water damage.
POI data — such as location-based audiences and consumer behavior patterns — can help you create tailored marketing campaigns. For instance, you can use this data to identify areas with a demand for higher-end properties. You might then develop an advertising campaign to target a wealthier audience.
Alternatively, you might target an audience seeking more affordable housing options. POI and location-based data can help you adapt your marketing strategies to your target demographics’ needs.
Real estate companies rely on insightful location intelligence and POI data to make smart investments and thrive in a competitive market. As a global POI data provider, dataplor is ready to help you make the most informed, data-driven decisions so you can invest with confidence. We support our proprietary POI and territory data with:
These elements cover various data points, including online feedback, consumer behaviors and geographically tagged information. Our advanced data location services can help you:
As a leader in global location intelligence, we can work with you to stockpile POI data that helps you make the most valuable investments and business decisions. Interested in amplifying your real estate workflow with Dataplor? Learn more about our solutions by contacting us online or calling (424) 484-2591. We look forward to speaking with you!

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Point of interest (POI) data providers enhance business intelligence by collecting, analyzing and delivering high-quality consumer information. Companies rely on brand data to grow their market presence, identify investment opportunities and inform marketing strategies.
Working with the best location intelligence provider is critical to your decision-making process, offering insight into your competitors and market. With such importance and impact on your business, the quality of the provider you work with matters, and understanding how to choose one will set you and your company up for success.
Data drives business, and POI (also called “places data”) suppliers are key to propelling your organization forward. They gather and maintain countless amounts of geographic data you can use to reach new audiences and find new locations with untapped potential. The right provider will work to understand your needs, goals and key performance indicators (KPIs) to deliver custom data sets that enrich your current operations.
When choosing your POI provider, consider the following characteristics:
Acquire precise global data from Dataplor to support your strategic decision-making efforts. We’re the leading provider of location intelligence data, empowering our clients to grow and expand their operations successfully. We leverage the latest technology, such as machine learning, image recognition and artificial intelligence, to collect and examine vast information to create highly accurate location-specific databases.
Gain information to map out your competitive landscape and find meaningful market opportunities for your business with our comprehensive location intelligence. Dataplor goes above and beyond the competition by providing a consistent real-time data supply to reveal customer preferences and local trends. We cover over 250 million locations in more than 200 countries and territories, ensuring you have the information you require no matter where you build your brand.
We routinely update and inspect data to provide clients with precise information they can trust. We depend on a cutting-edge team of international data analysts, scientists and human validators with native language proficiency and local expertise. They monitor data to catch duplicates, errors and inaccuracies to guarantee you have access to reliable metrics.
Generate a comprehensive understanding of a target area when you buy POI data from dataplor. Our dependable information seamlessly merges within existing point-of-interest database systems, including AWS, Snowflake and Databricks. Our expertise and resources will allow your team to gain valuable geographically based insights and drive your operations toward success.
Don’t risk your business with inaccurate or outdated data—obtain your location intelligence from the world’s premier POI provider.
Connect with Dataplor’s experts to learn more about our service.
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A point of interest (POI) is any intriguing physical location your business identifies as a potential target. These locations can be stores, restaurants or parks you want to learn more about, or larger regions like neighborhoods or cities. When organized in databases, these inputs can be supported by metadata to increase their ease of use.
Metadata is a form of data that provides additional information and context to other data. It can be thought of as a summary or key performance indicator of the data, making it easier to understand and locate this information quickly.
POI data can also have metadata attached, allowing businesses to easily categorize vital information. Dealing with large amounts of POI information can often be overwhelming. Leveraging metadata can relieve this challenge by offering information such as name, address, coordinates and business or property type. POI metadata can even offer more specificity to include customer reviews, contact information and included features such as valet parking or swimming pools, in the case of a hotel.
Streamline your end-to-end workflows with POI metadata. Metadata provides a snapshot of all your locations, allowing you to filter large amounts of data quickly and efficiently. You’ll have what you need to easily identify and retrieve locations fitting your criteria to optimize your decision-making without wasting too much time. POI metadata is used to identify valuable investment areas, select site locations and distribute targeted messaging to customers.
Other uses of metadata include:
Take advantage of precise and detailed POI metadata collected and managed by the industry’s foremost provider. dataplor is a cutting-edge organization dedicated to providing businesses with reliable real-time data they can trust.
We’ve assembled an expansive collective of international analysts, scientists and human validators to oversee our global location intelligence. Each depends on their local expertise and language proficiency to conduct reviews, identify errors and eliminate duplications in our data, giving your team access to accurate information to fuel your decision-making procedures.
dataplor collects information from over 200 countries and territories across the globe. We offer one of the only solutions that provides this scale of information, offering valuable insight to support your expansion no matter where you’re going. Our POI information is complete with detailed metadata tags to provide a user-friendly operation that allows your business to tackle objectives confidently. dataplor understands the importance of recent information and performs near-real-time updates for accurate data that can meaningfully impact your operations.
Partner with dataplor to access highly precise location-specific data to learn more about your customers and identify valuable business opportunities. Our datasets offer comprehensive insight into various markets and effortlessly integrate within numerous POI database systems like Amazon Web Services (AWS) and Databricks.
dataplor has the technology and resources to propel your business toward success. Contact our specialists online to learn more about our innovative solutions today.
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Data makes the world go round. Sourcing consistent and precise streams of geographic information is crucial to enhancing your planning and decision-making procedures. On your own, this task can seem daunting and require significant investments of time, energy and resources. Instead, working with a trustworthy geographic data provider can streamline your operations and get you back to focusing on the areas of your business that need your attention.
dataplor is a world-leading data provider known for delivering premium global market insights to help businesses optimize their operations. Our meticulous attention to detail and commitment to verifying our data will place our services at the top of your list. We give you what you need to learn more about the world and make decisions that propel you toward success.
Don’t risk your global efforts with outdated or incomplete data. dataplor seeks to give you an in-depth representation of the world around you using thorough collections of global market insights. We collect data from more than 250 million locations in 200 countries and territories, giving us one of the largest data coverages in the world. Our places datasets are constantly growing with point of interest (POI) information complete with detailed metadata, making it easy to find the data you’re looking for.
Our experts leverage advanced technologies to support our work, including image recognition, artificial intelligence and language models. These tools help us collect a wide range of information regarding consumer behaviors, statistics and geographic information tied to locations and brands. Gain more information about your POIs without sacrificing your time, leaving all the heavy lifting to dataplor.
Optimize your global market insight with information you can trust. At dataplor, we understand how vital your data quality is to your business and strive to provide a comprehensive solution. Our global places datasets are updated in as close to real-time as possible through our advanced machine-learning capabilities. This ability allows us to provide companies with an exhaustive supply of billions of detailed data points to fuel business strategies.
dataplor has built a state-of-the-art quality control system to foster the reliability you deserve. We constantly validate data to identify duplicates and resolve discrepancies through AI-driven automation and an in-house team of highly trained experts, scientists and analysts. Our professionals are positioned worldwide, leveraging their local expertise and language proficiency to review data and flag errors. Approach new investments and expansions confidently while knowing you’re tackling every decision with a stockpile of accurate data.
Partner with a leading geographic data provider to maximize your business’s potential. At dataplor, we have years of experience working with companies of all shapes and sizes, providing unrivaled information to fuel successful decision-making and problem-solving activities. Our large global places datasets offer valuable metrics your business can use to satisfy customers, scale your operation, and take advantage of unique market opportunities.
Contact dataplor online to find the answers to all your questions and discover how our service can assist your business.
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When businesses need to make location-based decisions, they often turn to point-of-interest data. POI is the backbone of many modern tools and data sets, so high-quality data is crucial, but gathering this information can be challenging. Understanding how to collect and compile POI can help you make informed choices when obtaining and using the data for your organization.
Points of interest are any attraction or service people may find exciting or valuable. Some points-of-interest examples include businesses, historical landmarks, parking lots, ATMs, and churches. You access POI data whenever you use a navigation app to get directions on your phone. It shows where these places are and can include metadata with more information, such as the type of business.
Point-of-interest data, meaning compiling this information into a large data set, informs many diverse business processes. Also called place data, POI data usually derives from geographical coordinates. The locations can be permanent, like landmarks and buildings, or temporary, such as a music festival or pop-up restaurant.
Most POI data uses the North American Industry Classification System to identify industry sectors. Business, research, and government applications use NAICS codes. These can tell you if a listing is for a gas station, a retail store, a theater, or something else. When you look at a place listing, this standardized code helps quickly identify its purpose.
Write a brief intro here into how POI data is collected:
Platforms like Dataplor allow for POI data to be combined with foot traffic data globally, so your team can trust you are getting the most accurate information at scale.
Businesses use POI in myriad ways, from creating routes to analyzing the competition. POI data can be crucial to location-oriented operational tasks, particularly when combined with GPS tools and geofencing capabilities. Here are a few common ways different industries leverage POI data.
POI offers exceptional versatility, especially if incorporated into sophisticated tools designed for these applications.

With so many business-critical applications, organizations must consider POI data’s source to ensure its quality. Data providers can use varying methods to collect and verify their information. Typical sources include websites, government databases, and human input. These are often prone to errors, such as inaccurate website listings and out-of-date information.
POI data also varies significantly due to a changing landscape. Businesses might close or open, and some owners forget to update their contact details. Buildings and roads are frequently under construction, and areas could get rezoned. Consistent updates and verifications are crucial to ensuring data accuracy.
Addressing these challenges is one of the reasons it’s so vital to find the correct POI data provider. A partner must take steps to verify the information’s accuracy and continuously update it if they find errors or inconsistencies.
Getting quality POI means working with a dependable POI provider. If you’ll be working with POI in business, you must consider several aspects of the data and how a company manages it, including whether it spans the markets you need. That matters whether you’re exploring one market or planning global growth. At Dataplor, for example, our POI data spans more than 370 million locations across 250+ countries and territories.

High-quality POI data is critical as the foundation of many tasks and business decisions. Some of the world’s largest companies use Dataplor’s global, dynamically updated location data to make informed choices. We offer unmatched accuracy and coverage, backed by proprietary technologies and local human validation. Enjoy unique insights with qualitative metrics to learn more about consumer behaviors and brands worldwide.
Whether you need to outpace your competition, boost revenue, expand your services, or meet another goal, we can help. Reach out to a data expert today to learn more about Dataplor!
Q: What is POI data?
A: Point-of-interest (POI) data identifies any location people find valuable, including businesses, landmarks, ATMs, parking lots, and more. It’s typically tied to geographic coordinates and covers both permanent and temporary venues.
Q: What should I look for in a POI data provider?
A: Prioritize accuracy and update frequency (near-real-time over quarterly refreshes), verification that combines human validation with AI/ML, global coverage with regional expertise, and high fill rates on metadata.
Q: Where is POI data used?
A: Retail site selection, real estate development, financial risk pricing, logistics routing, geofenced marketing, telecom infrastructure planning, and government service-gap analysis all rely on quality POI data.
Q: Does the quality of POI data actually matter that much?
A: Yes. The right POI dataset turns raw location coordinates into a decision-making tool, while a stale, sparse, or unverified one undermines every use case built on top of it.
Q: What’s the best next step before choosing a provider?
A: Evaluate any POI provider against the criteria above (accuracy, verification, coverage, completeness) before committing to a data source.
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Geographic information systems (GIS) have changed how companies from nearly every sector navigate the global market. These systems grant organizations increased competitive intelligence by enabling them to layer, map, manage, and analyze different types of data at the click of a button.
Among the greatest insights made possible by GIS platforms are those rooted in point of interest (POI) data. Having the right POI data is particularly important for two types of businesses: those that provide GIS navigation services (including Google Maps and Apple Maps) and those that leverage such services to make customers’ day-to-day lives easier (think Uber or DoorDash). But how?
In this article, we’ll answer this by first diving into how GIS mapping works. We’ll then discuss how accurate POI data helps companies increase customer satisfaction, avoid costly errors, and scale globally. Along the way, we’ll cover the true costs of bad GIS data and why dataplor is an industry-leading provider of location intelligence for GIS services of all kinds.
GIS (Geographic Information Systems) visually layers multiple datasets onto a map, letting users analyze location-based data in isolation or together to uncover patterns and support smarter decisions.
In other words, GIS platforms link these layers to a map by combining location data with various forms of descriptive data.
These maps provide interactive business insights that data rows cannot generate on their own. GIS map layers allow organizations to see and toggle between different relationships, patterns, and geographic contexts found in their data. By analyzing GIS layers in this way, companies can unlock operational know-how and smarter decision making in real time.
Location intelligence is the backbone of GIS mapping. It powers the layered, geography-specific views (like POI details, demographics, or boundaries) that let businesses turn raw location data into competitive insight.
Though they enable users to visualize more than one type of data, geographic information systems run primarily on location intelligence.
For example, a GIS map could contain a polygon layer for France, an additional one for Paris, then yet another for popular tourist and shopping neighborhoods, such as the Champs Elysées or Marais. The same map might also contain additional layers that detail clusters for demographic skew for these sought-after destinations.
From a business standpoint, this GIS data is crucial for capturing market share. Through it, users are afforded granular insights about points of interest, including their addresses, hours of operation, websites, and phone numbers. As a result, companies can use GIS platforms that contain POI layers to boost competitive advantage, operational savings, and customer satisfaction.
Navigation and delivery apps depend on accurate POI data—addresses, hours, and phone numbers—to guide users correctly. Even small errors can break the experience and cost providers real revenue, as seen in Uber paying Google millions annually for reliable map data.
To better understand this, let’s zoom out to consider what GIS providers themselves stand to gain with POI data. GIS mapping companies such as Apple Maps need up-to-date POI layers so that users can access and navigate their way to and from any point of interest, including restaurants, shops, parks, and other popular landmarks.
Imagine, for example, that a tourist using Apple Maps wants to visit a new streetwear brand’s flagship store on the Champs Elysées after a morning of site seeing around the Arc de Triomphe. If the platform has an accurate POI layer, they’ll be able to find reliable transportation to the store and arrive at a time that they know it to be open. Each experience like this leads to repeat use and supports consumer confidence in the GIS provider.
Companies that rely on GIS mapping and navigation also benefit from POI integration—so much that they’ll pay premiums for access to platforms that run on the right geospatial data. Remember our tourist? Hungry after a day of sightseeing and shopping, they decide to order from the hippest restaurant in the Marais using UberEats. Whether the app is relying entirely on another GIS or has integrated additional POI datasets to optimize its algorithms, customer satisfaction hinges on data accuracy: the courier will need the correct addresses, hours of operation, and phone numbers to make sure that the meal delivery is executed seamlessly.
Bad GIS data—missing addresses, wrong hours, duplicate records—leads to failed deliveries, wasted time, and lasting damage to brand trust, especially when scaling into new international markets.
While free or out-of-the box data solutions might be less expensive, they’re often out-of-date and lead to unexpected spending down the line. POI datasets that are missing address details, contain inaccurate details about hours of operation, or suffer from duplicate records need to be enhanced if they’re to be reliably integrated into GIS platforms. And on top of all that, much international POI data is simply inaccurate.
Errors can increase operational costs when GIS platforms integrate bad data. Imagine that Apple Maps has the wrong Parisian arrondissement listed for the streetwear brick-and-mortar on the Champs Elysées or incorrect hours of operation for the restaurant in the Marais. Errors like these cost time, money, and have the potential to do irreparable damage to brand image and consumer confidence. For GIS providers or the companies that rely on their services, these consequences might also stifle efforts to expand globally.
To avoid these costly errors, it’s important to only use POI data from vendors that 1) specialize in POI data, 2) streamline their places datasets using multiple sources, 3) provide metadata and other indicators for every record, and 4) know the value of local sources.
Thankfully, we check every one of these boxes. As an industry leader in location intelligence, we offer best-in-class POI data that GIS companies of all kinds can mobilize to gain truly global competitive intelligence. That’s because we use a winning combination of technology—including proprietary AI and machine learning—along with human verification to ensure that your mapping and navigation is always accurate.
Ready to take your GIS mapping to the next level with POI data? Contact us.
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Case Studies
Tensorflight, a cutting-edge technology company specializing in property analytics for the insurance sector, embarked on a transformative journey to enhance the quality and accuracy of data. Their mission was to empower property insurance companies with the tools to refine their insurance targeting and associated premiums. This case study explores why Tensorflight chose Dataplor over other providers, the problems they sought to solve, and the remarkable accomplishments they’ve achieved through this partnership. Additionally, we delve into their future plans for innovation with Dataplor.
Tensorflight’s rigorous assessment process involved evaluating multiple Points of Interest (POI) providers, all offering places data. They focused on critical factors like coverage breadth, address accuracy, and alignment with insurance-specific attributes. Dataplor emerged as the standout choice. Although confidentiality commitments prevent Tensorflight from naming other providers, they assessed over five options, with Dataplor distinguishing itself as the prime choice.
Tensorflight sought to enhance the quality and accuracy of data for property insurance companies. Their objective was to enable insurers to determine which buildings were covered by policies, provide detailed attributes such as Building Occupancy Type and Tenant Type, and estimate building replacement costs accurately. They also aimed to merge Dataplor’s data with visual and other datasets to optimize classification.
Tensorflight integrated Dataplor’s data extensively into their internal operations. This data resides in their internal data warehouse, serving as a vital resource for analytics and reporting. It fuels proprietary models, including geocoding, building feature identification, replacement cost estimation, and survivability score computation.
Tensorflight’s collaboration with Dataplor yielded substantial improvements across various metrics. They observed increased geocoding accuracy, enhanced precision in building replacement cost estimations, and improved accuracy in determining building occupancy types. The refined assessments related to multi-tenant attributes and tenant attributes have proven invaluable to their insurance clientele.
Tensorflight’s future plans for innovation revolve around extensive integration of Dataplor’s insights. They are developing new attributes, such as building survivability scores, which are significantly informed by Dataplor’s data. The overarching goal is to create a fully-automated AI system capable of assessing and pricing insurance risks, thereby streamlining the tasks of insurance underwriters. Dataplor’s data, particularly information about businesses located within properties, plays a pivotal role in achieving this vision.
In conclusion, Tensorflight’s strategic partnership with Dataplor has catalyzed remarkable advancements in the property insurance sector. With a commitment to data quality, accuracy, and innovation, Tensorflight is poised to transform the industry, making insurance underwriting more efficient and precise, thanks to Dataplor’s invaluable contributions
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Case Studies
Yeme‘s Community Platform is a powerful application that utilizes spatially mapped Human, Asset, and Activity data to provide profound local insights into communities. By leveraging this information, Yeme empowers developers, community stakeholders, and others to take action toward creating positive social impact through enhanced interaction, engagement, and cohesion. Yeme’s platform not only provides valuable information about the places around us, but also facilitates new ideas to improve our communities.
Yeme relies on having the most accurate geospatial data to support its platform’s functionality and users. Prior to using Dataplor for its location intelligence needs, the company had relied on open-source data and Google Places for their Point Of Interest (POI) data. However, these sources proved unreliable and costly, making it difficult to analyze the data and grow the platform into new areas.
Yeme faced several challenges with the open-source data they were using previously. The data was unstructured, decentralized, and complicated, requiring a lot of legwork to compile and analyze. Additionally, there was a considerable margin of error associated with validation and replicability for other projects and locations. This made it nearly impossible for Yeme to provide their customers with accurate analysis and develop its community enhancement platform.
Yeme then turned to Google Places as an alternative data source. However, this approach was not scalable due to the very high and unpredictable costs. The updates provided by Google Places were not recurring which made it difficult to grow into new areas. This resulted in Yeme spending a considerable amount of time scraping multiple sources and compiling data in a usable format.
To overcome these challenges, Yeme needed a data provider that could offer accurate, comprehensive, and up-to-date global data to support their mission of creating walkable and sustainable cities. After extensive research and trials, Yeme chose Dataplor as its data provider.
Dataplor’s expertise and support were one of the key factors in Yeme’s decision to choose them as their data provider. Dataplor’s proven strategies for collecting and verifying data gave Yeme confidence that they could continue developing their community enhancement platform with reliable and up-to-date information. Additionally, Dataplor’s breadth and depth of data allowed Yeme to plan for future scalability.

Using Dataplor’s POI data, Yeme has been able to integrate valuable insights into its platform. Dataplor’s POI data has allowed Yeme to advance their work of creating a 15-minute Walkable Fulfillment benchmarking tool. They have also used Dataplor’s POI data in a series of consultancy projects, leading to transformational insights related to community engagement consultation analysis and business emissions, among others.
Alejandro Quinto, Head of Innovation at Yeme, described their experience with Dataplor stating:
“In creating a profound new Community Enhancement Tool, we recognised the importance of accurate, place-based asset data to our entire proposition. The quality, detail and format of this was critical to achieving our objective of a globally significant and market-leading platform. It has been fantastic working with Dataplor as their culture of exploration led to a co-creation approach being developed. Their expertise and resources allowed us to be able to create valuable metrics in order to gather valuable insights and make informed decisions based on accurate and up-to-date information. Their commitment to quality and support has been essential in ensuring the success of our data-driven proposition.”
One of the standout features of Dataplor’s POI data is the asset categorization that identifies the different attributes of the POIs, enabling Yeme to sort through the data easily. Additionally, Yeme appreciates flexible approach to licensing.
Yeme is a leader in community enhancement for cities and governments, and Dataplor is excited to support their mission to expand into new areas throughout the globe. Yeme plans to continue using Dataplor to support their upcoming initiatives for developing a comprehensive and standardized social benchmarking tool capable of empowering citizens and businesses to take a bottom-up approach in leading social transformation of communities.

Yeme’s partnership with Dataplor has enabled them to provide consistent, accurate, and thorough insights into places globally. Dataplor’s POI data has given Yeme the confidence to develop their community enhancement platform with reliable and up-to-date information. Dataplor’s expertise and support, combined with their comprehensive and cost-effective data coverage, have made them the ideal partner for Yeme’s mission to create walkable and sustainable cities.
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