How Wolt Strengthened Their Selection Insights with dataplor

Apr 25, 2024 /

How Wolt Strengthened Their Selection Insights with dataplor

Case Studies

Wolt’s Geospatial Evolution with dataplor

Wolt, a leading food delivery and technology company spanning 27 countries, initiated a transformative journey to enhance its market presence and identify untapped areas of opportunity. This case study explores why Wolt chose to partner with 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.

Why dataplor?

Wolt’s decision to partner with dataplor was driven by their commitment to data coverage. They prioritized crucial factors such as the breadth of coverage, data accuracy, attributes and most importantly, data quality. dataplor surfaced as the top selection due to its ability to capture a vast number of Points of Interest (POIs) accurately and comprehensively. Wolt underwent an extensive evaluation process, exploring various data vendors. However, dataplor’s unmatched coverage and quality positioned it as the undeniable winner.

The Problems to Solve

Wolt aimed to leverage the data to enhance its market understanding and improve internal operations. They sought to evaluate data beyond their existing data sources to gain a more comprehensive view of merchants across various sectors, not just limited to restaurants. With dataplor, Wolt could address market gaps and identify untapped opportunities more effectively.

How Wolt Uses the Data Internally

Internally, Wolt extensively utilizes dataplor’s data to strengthen its competitive positioning and identify new opportunities. They integrate this data into their internal systems, serving it to Customer Relationship Management (CRM) platforms and ingesting it into various geospatial platforms. Wolt emphasizes the importance of data quality, recognizing it as the foundation for their operations. Centralizing processes enables Wolt to allocate resources efficiently, prioritize leads based on internal valuation, and enhance the accuracy of their predictive models.

Achievements with dataplor Data

Wolt’s collaboration with dataplor has yielded significant achievements. By leveraging dataplor’s comprehensive POI data, Wolt has improved its ability to serve customers and accelerate its growth in various markets. The integration of dataplor’s data has expanded Wolt’s market by nearly 40% in certain markets surpassing their initial projections. Wolt now possesses a more accurate and detailed understanding of merchants within their countries, enabling them to make informed decisions and capitalize on market opportunities effectively.

Background of Wolt’s Geospatial Focus

Leading Wolt’s geospatial initiatives, Sharat Ramamani brings a diverse background in strategy and analytics to the table. His journey into the geospatial realm began at Doordash, where he focused on new country expansion and selection. Following Doordash’s acquisition of Wolt, Sharat shifted his focus primarily to Wolt’s selection strategy across their 25 markets. Despite the challenges of navigating the early geospatial SaaS landscape and the initial learning curve, Sharat found the transition fruitful. Leveraging geospatial data has accelerated Wolt’s decision-making processes and accelerated their time to market.

Wolt’s strategic partnership with dataplor has transformed its approach to market development and expansion. By prioritizing data quality, accuracy, and innovation, Wolt is poised to continue its trajectory of growth and success, leveraging dataplor’s invaluable contributions to drive informed decision-making and capitalize on market opportunities effectively.

Join us on May 16th at the SDSC Conference in London, to hear from Wolt’s Analytics Lead, Sharat Ramamani and dataplor’s Enterprise Account Executive, Meagan Vigil firsthand.

Open-Source Data vs. a Paid Data Provider: Which Is the Better Option?

Apr 24, 2024 /

Open-Source Data vs. a Paid Data Provider: Which Is the Better Option?

Blog

Data is one of the most valuable commodities in business today, and open-source data is one of the easiest ways to get the information you’re looking for. But is free really better when it comes to data? When compared to paid data, open-source data may seem like the biggest bang for your buck. However, paid data provides various advantages above open-source options, often making it well worth the fees to access it.

Understanding how the two compare can help you make the right choice for your business.

What Is Open-Source Data?

Open-source data is data that anyone can access, modify and distribute. It can come from various sources, including government agencies, private companies and non-governmental organizations and nonprofits. 

Some well-known examples of open-source databases include: 

  • The U.S. Census
  • FiveThirtyEight
  • Pew Research Datasets
  • Yelp Open Dataset
  • International Monetary Fund
  • OpenStreetMap

Many open-source datasets are free to use, while some sources place theirs behind a paywall. However, all open datasets must be available in a format that users can easily access and modify — most often as downloadable documents distributed over the internet.

The Benefits of Open-Source Data

Weighing the pros and cons of open-source data against those of paid data providers will help you determine which is the better option for your organization. Here are the most significant advantages of using open-source data:

Accessibility

When it comes to open-source data pros and cons, the biggest pro is its accessibility. Open-source databases are readily accessible online, making them an easy source of information for anyone who needs it. 

Since most open-source datasets are free, your organization can save valuable time and money you would have spent collecting it yourself.

Greater Engagement

Many open-source data initiatives come from specific communities, which can help your organization identify opportunities for building better connections with those groups.

For example, if you’re considering expanding into a certain region, point of interest (POI) data collected from local communities can help you better understand the area and its unique characteristics.

Deeper Transparency

Because open-source data is so readily available, it creates a clear line of sight for everything related to the issue or topic it addresses. For community members, this visibility means greater accountability for policymakers and other leaders. From a business standpoint, it gives you a top-down view of your market, which can help you build more effective marketing and growth campaigns.

The Cons of Open-Source Data

With those pros in mind, it’s important not to overlook the issues that come with open-source data. Some of the biggest risks of open-source data include:

Data Quality Issues

Using inaccurate data to inform strategic decisions can cost your business hundreds or even thousands of dollars in lost profitability. Few international open-source providers have centralized control over their databases, which makes it more difficult to conduct regular quality checks of all datasets.

As a result, large databases tend to suffer from regional inconsistencies in data quality, such as:

  • Improper schema implementation
  • Missing data points
  • Invalid or incorrect values
  • Issues with precision
  • Duplicate data
  • Bias

Of course, there are plenty of open-source databases that publish reliable information — however, due to the lack of frequent reviews, it’s often a better idea to treat them as a jumping-off point for your research rather than your only source.

Data Manipulation

Because anyone can edit open-source datasets, users can skew the data for an ulterior motive, such as:

  • Gaining a competitive advantage: Businesses might alter the data to sabotage their competitors or to improve their own image. 
  • Influencing user behavior: People use open datasets like OpenStreetMap to find businesses nearby. Altering the data can steer users toward specific products and services and away from others.
  • Pushing a business or political agenda: Companies and political organizations may manipulate data to support their viewpoints or push their products and services.
  • Causing disruption: Malicious actors may manipulate open data to create confusion and disrupt operations. For example, inaccurate data can impact navigation for people using open mapping data to find businesses in their area.

Outdated Information

One of the biggest issues with open-source data is that open datasets are rarely current. The U.S. Census is a great example, as the database only updates once every 10 years.

Although some open-source projects might update more frequently, this task often falls to volunteers who may be inexperienced with large datasets and metadata. These individuals can accidentally introduce errors into the data that could seriously alter the results.

Pros of Third-Party Data Vendors

Although open-source data has many advantages, its limitations mean it’s not often the best choice for business decision-making. Here are some of the reasons a paid data provider like dataplor might be a better source for POI data:

Accuracy and Quality

A reliable data vendor leverages all its resources to ensure you’re using the most accurate, complete and up-to-date data possible. 

At dataplor, for example, our in-house team of international data scientists and analysts uses a combination of proprietary machine learning technology and local expertise to review and resolve data quality issues in near real time.

Cost Savings

While it may sound counterintuitive, investing in good data can help you save money in the long run. Using data from a reputable source can help you avoid the kinds of missteps that could cost your organization hundreds or even thousands of dollars. 

More importantly, though, quality data can guide you toward business decisions that:

  • Optimize operational efficiency
  • Inspire greater customer loyalty
  • Boost overall profitability
  • Unlock new revenue streams
  • Spark innovation

As a result, you save more over time, giving you a notable return on your investment.

Cons of Paid Data Providers

The main consideration is that you will need to pay some kind of fee to access and use the data. Some providers operate using a subscription model, where your monthly or annual fee gives you access to all available datasets. Others charge according to usage. 

However, it’s important to remember that you are paying for a quality product. Paid data providers have the resources to update and maintain their datasets frequently, so you always have accurate data at your disposal.

Trust dataplor for High-Quality Global POI Data

Free doesn’t always mean better. Although open-source data can be a useful tool when beginning research on a specific POI, investing in quality data from a reputable source is the way to go to make more informed decisions and minimize risk.

Subscribing to dataplor gives you access to location data you can trust. Schedule a consultation today to request a free data sample tailored to your company’s unique goals and requirements.

Announcing our Series A funding to expand our position as a global leader in location data

Apr 18, 2024 /

Announcing our Series A funding to expand our position as a global leader in location data

Blog

By Geoff Michener, CEO and founder, dataplor

Today marks a significant milestone in dataplor’s journey—we have successfully closed our $10.6M Series A funding round led by Spark Capital, a pivotal step as we continue our mission to deliver the most accurate Point of Interest (POI) data available, empowering enterprises to make better decisions and drive growth across global markets.

From the outset, dataplor was built on the belief that accurate, reliable, and privacy-first location data was missing from the global market. We aim to help companies uncover hidden opportunities and build stronger relationships within the worldwide business community.  Estimates show bad data costs the market nearly $7 trillion annually. Many providers claim to offer comprehensive global coverage but lack the expertise and verification measures to deliver highly accurate datasets. This problem is particularly pronounced in developing countries, where up to 70% to 90% of international location data contains inaccuracies.

Building the infrastructure to curate an accurate, global dataset

Even from the earliest days of our first Minimally Viable Product (MVP), we’ve seen the value that international POI data can unlock for businesses, and our approach of including humans in the loop has been validated each step of the way. Building a robust product and team was critical in our early growth. We also found our sweet spot of using both technology—AI algorithms for gathering data, de-duping it, finding errors, etc.—and expert human validators as the key to building accurate data at scale. Creating the infrastructure for scaling this global product could not have been done without the collective effort of the dataplor team’s diverse talents and dedication. As we continued to see interest from customers and drew support from early investors, we grew our business. Now, we’ve curated a dataset that encompasses over 300 million POI records across more than 200 countries and territories and counting. 

Our unique approach ensures that our datasets are highly accurate, complete, and continually updated in real time. We have developed an industry-leading quality control system that combines hundreds of sources, reviewed by our in-house data scientists and analysts. dataplor is used by strategic decision-makers in retail, mapping, consumer packaged goods, and quick-service restaurants, among other growing industries. We count dozens of Fortune 500 brands among our customer base, and we envision this funding carrying our work to new heights.

Maximizing humans in the loop

Uncovering data and intelligence is a profoundly human exercise. However, empowering the hundreds of dedicated individuals contributing to our data verification efforts requires blending their expertise with the right technology. As dataplor continues to grow, our commitment to delivering superior global data remains unshaken. We achieve this by bringing together a world-class team of data specialists. Our team is dedicated to consistently providing exceptional products and experiences, driven by their expertise and adaptability, to meet the needs of our valued customers. The dataplor team’s collaborative mindset and innovation have been crucial in blending advanced AI with human insight to refine our data accuracy. As we expand, we aim to continue recruiting smart and innovative individuals who can contribute to our growth.

We invested early in using machine learning to efficiently process billions of data points, map patterns, and break down information so it’s most useful for our customer base. Our deep learning technology gives global location intelligence to any brand worldwide, opening a new perspective to assessing brand performance and new opportunities. Our funding empowers us to continue investments in new technologies that will scale the work of our human intelligence gatherers and analysts.

Future growth with a privacy-first approach

We’ve taken pride in launching and scaling a platform with efficiency. But even as we scale, our commitment to a privacy-first approach remains unwavering. In an era where data privacy is increasingly under the spotlight, we believe it is not only possible but essential to collect and utilize data responsibly. 

At dataplor, we don’t utilize any personally identifiable information (PII) in our data collection practices. Our datasets are sourced through direct contact with a place, or through publicly available data, without using PII or engaging in individual tracking through phones, apps, or other devices. This approach aligns with our ethos and also benefits our customers by ensuring they don’t have any legal or regulatory challenges from using data that breaches privacy best practices.

A future of superior location intelligence

I’m thankful for the leadership of Alex Finkelstein at Spark Capital, Quest Venture Partners, Acronym Venture Capital, Circadian Ventures, Two Lanterns Venture Partners, APA Venture Partners, and ffVC for leading this round. This key milestone was only possible because of our team’s commitment and dynamism; I look forward to seeing the new challenges we take on together. 

With this new funding, we’re poised to explore new frontiers, tackle bigger challenges, and deliver even greater value to our customers. We’re thrilled about the new opportunities ahead.

Dollar Store Closures

Want to see how dataplor measures up?

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Advantages of POI Data

Mar 28, 2024 /

Advantages of POI Data

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Point-of-interest (POI) data underpins many of the technologies businesses use to innovate, grow and complete everyday operations. You’ll find it across industries, powering everything from consumer-facing tools to complex competitor research — but how exactly does it benefit organizations?

Let’s take a closer look at the benefits of POI data, its challenges and what makes it such a valuable resource for most businesses.

What Is POI?

Point-of-interest data contains information on physical places and their value to the public. These places might be helpful, necessary or interesting, including locations like stores, restaurants, gas stations, hospitals and parks. POI data can also include context on the locations. For example, it might collect information on how long customers spend at a place or create a picture of competing locations.

Many businesses use POI information to create databases and maps that inform various processes for learning about the market, consumers and competitors. Some of these applications include:

  • Selecting sites for expansion or investment.
  • Monitoring consumer behaviors across locations.
  • Performing competitor and market analyses.
  • Calculating and evaluating transit and logistics routes.
  • Informing strategic planning demands.
  • Finding the most profitable operating hours.
  • Building tools, like interactive maps and location-based advertising notifications.
  • Predicting potential risks and planning accordingly.
  • Advertising in the right ways to the right people.

POI can be extremely detailed, facilitating powerful insights and tools. It usually identifies various data points via the North American Industry Classification System.

Why Is POI Data Beneficial for Businesses?

POI data’s many capabilities make it a wide-reaching resource for businesses of all types. The pros of POI data range from growth opportunities to competitor insights. Here are a few POI data benefits for businesses:

1. Improved Decision-Making

POI data can provide real-time insights into various factors to support informed and effective decision-making. Your team can confidently make choices, like where to focus marketing or which route to use, based on accurate and up-to-date information.

2. Streamlined Business Processes

Collecting data individually is highly inefficient and would likely require a limited scope or extensive resources. POI data is ideal for assessing vast amounts of information quickly and feeding it into complex calculations.

POI data can also facilitate faster operations through tools like route planners and maps. Visualizing POI information and integrating it with your business processes can drastically improve your speed.

3. Optimized Resource Allocation

Most of your business decisions will require time and/or money, and one of the biggest pros of location intelligence is its ability to minimize those costs. You can better control expenses like inventory practices, project budgets and staffing requirements.

POI data also helps improve the profitability of your efforts, such as when choosing an effective location for an ad campaign. 

4. Better Audience Insights

Location intelligence offers a much deeper understanding of your customers, as you can explore overarching behaviors and preferences. POI data aggregates many types of information, allowing you to tailor your business decisions to consumer needs.

Say you want to open a new location for a restaurant. You could use POI data to see how many competitors exist in a given area and whether consumers like them. If customer satisfaction scores are low, perhaps you can fill a need in the area — or identify a problem with the location. Marketing campaigns are another great way to learn from POI data.

5. Competitive Advantages and Opportunities

When you can offer a better customer experience, like through more relevant services or tools, you can build loyalty and improve your market share. POI information gives you an edge over the competition while helping you stay agile in evolving market conditions. With a creative approach to using POI data, you can often find opportunities that other businesses are missing.

6. Effective Competitor Research

Similarly, POI is a great way to conduct competitor research. Just as you might research your own performance, you can use POI to assess your competition, scoping out opportunities and possible challenges. Explore their physical locations, where they’re branching out, who’s growing quickly and other aspects of their operation.

With a comprehensive approach, location data can help you differentiate your business.

7. Risk Prevention

Get ahead of threats with a better understanding of your environment. Whether making investments or operational decisions, location intelligence can help you spot trends or potential roadblocks. Avoid financial problems, reputational damage and other avoidable issues.

Top Challenges of POI Data

While the benefits of POI data are plentiful, it also comes with some challenges.

1. Quality

Low-quality data can affect the utility of your information. If it’s inaccurate or incomplete, you can’t make decisions with confidence. For instance, a data set with plenty of entries might not be as helpful as it seems if most of its attributes are blank. Bad POI information could put business-critical judgments at risk.

POI data should offer appropriate coverage in relevant areas and use intelligent validation measures to confirm the information. Local expertise through a human review process can add an extra layer of quality control.

2. Recency

Location intelligence must also be up-to-date. Many fast-changing factors can affect your analyses, such as seasonal trends and industry developments. Some POI data providers offer updates as infrequently as once a year. Real-time updates are much more reliable.

3. Standardization

Many location information systems do not use the same formats or models, and the data sets might not be compatible with each other. Additionally, some organizations have different ideas of which places or attributes are valuable. The information may not be helpful if your data provider doesn’t collect locations or details that are important to your needs.

4. Collection Methods

POI information can come from many places. With data privacy top of mind for today’s consumers and businesses, your intelligence must come from ethical and legal methods. With 72% of Americans supporting more regulation for data protection, a responsible approach is crucial for avoiding legal challenges in the future.

Finding a Location Intelligence Data Provider

If you want to maximize the benefits of POI data, you’ll need to choose a data provider to address any potential challenges. Some aspects to look for in a provider include:

  • Robust quality control, including human oversight and multiple validation steps.
  • Extensive brand data and global location coverage.
  • Real-time updates for reliable, more accurate insights.
  • Comprehensive and helpful metadata, like confidence scores and consumer preferences.

Maximize the Benefits of POI Data With dataplor

At dataplor, we bring comprehensive, quality location information to one place. Businesses across industries use our POI data for everything from predicting success to uncovering new opportunities. dataplor spans over 200 countries and territories and leverages powerful AI-driven resources to achieve unparalleled accuracy and insights.

Whether you want to expand into new areas, build an existing audience or achieve another goal we’ve mentioned, dataplor can help. Contact our team today to learn more about how we can make the benefits of POI data a reality for your organization.

How to Leverage POI Data in Real Estate

Feb 23, 2024 /

How to Leverage POI Data in Real Estate

Blog

Making real estate investment decisions involves gathering large amounts of property data, like:

  • Location
  • Size
  • Amenities
  • Prices and rates
  • Potential risks
  • Building and property conditions
  • Local market trends

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.

What Is POI Data in Real Estate?

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 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:

  • Parks
  • Schools
  • Restaurants
  • Health care facilities
  • Shopping centers
  • Public transportation

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.

5 POI Data Use Cases in Real Estate

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.

1. Investment Property Research

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.

2. Site Selection

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.

3. Market and Competitor Analysis

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.

4. Risk Mitigation

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.

5. Marketing and Advertising Campaign Planning

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.

How dataplor Can Streamline Your POI Data Collection Strategy

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:

  • Artificial intelligence (AI)
  • Machine learning (ML)
  • Large language models (LLMs)
  • Advanced image recognition
  • Global human validators

These elements cover various data points, including online feedback, consumer behaviors and geographically tagged information. Our advanced data location services can help you:

  • Drive revenue. Our POI data can assess potential capital growth based on the prospective location’s surrounding competitors and areas of interest.
  • Optimize site selection. Leveraging real-time location data can help you make more logical decisions about business openings and closures, maximizing the real estate site selection process.
  • Gain a competitive edge. Stay ahead in a competitive market by discovering where your competitors globally sell their products or services in real-time.
  • Reach your target audiences. Our location intelligence can help you create more tailored advertising campaigns, communicate with your intended audience and ultimately generate more revenue.
  • Make more practical investment decisions. Our comprehensive location and brand data lets you access valuable insights into global competitor performance. That way, you can invest with the utmost peace of mind.

Set Your Real Estate Operations up for Success With dataplor

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!

Top Applications of Point of Interest Data

Jan 30, 2024 /

Top Applications of Point of Interest Data

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Understanding common applications of point of interest (POI) data can help you discover its usefulness. From minimizing shipping time to expanding in the best locations, POI data helps you make the best decisions for your business. With POI data, you can make your company more efficient and your products or services accessible to a wider audience.

How Does Point of Interest Data Work?

POI data helps companies gather and analyze information about specific locations. This geospatial data reveals how people use certain locations, helping businesses optimize their services, marketing and branch sites. You can use POI data to analyze permanent locations such as national parks or temporary locations such as retail shops or public events.

What Makes Point of Interest Data So Useful?

POI data is incredibly useful because of the information it provides. You can gain the following insights from POI data:

  • A location’s longitude and latitude
  • Companys’ contact information and addresses
  • A company’s primary business activity or industry category
  • Location and surrounding area attributes such as infrastructure, nearby points of interest and average traffic patterns
  • Typical number of visitors
  • Types of visitors a location attracts
  • How people use certain places
  • How a location’s visitor profile shifts over time

Common POI Applications by Industry

The most common POI applications in business relate to business performance, strategy and efficiency. Various industries use POI data to analyze or predict their businesses’ performance in certain locations.

The data helps them analyze performance based on consumer behavior, delivery distances and proximity to competitors. With this information, they can then strategize plans and optimize locations for their benefit.

Retail

POI data allows retail companies to track brick-and-mortar store performance. It also provides insight into competitor store performance, helping businesses gauge where they perform well and how to improve. Your retail company can gain insight into the number of store visits, your store’s market share, competitor stores’ market shares and store efficiency and profit.

With POI data and its provided insights, you can do the following to improve your business:

  • Choose the most successful store location
  • Analyze market opportunities
  • Understand sales dynamics in certain areas
  • Perform competitive analysis
  • Adjust your location strategy and manage store locations
  • Increase employee engagement
  • Optimize your distribution plans
  • Implement regional advertisements
  • Plan for successful expansion
  • Attract new customers

When you know where your target audience lives and shops, you can place your retail stores where more people can visit or discover them easily. You can also implement the most effective marketing strategies by targeting your ads where your customer base is most likely to see them.

Quick Service Restaurants (QSRs)

Similar to retail stores, QSRs can use POI data to find the most profitable locations, understand customer behaviors and outperform the competition. POI data provides the necessary information for the following decisions:

  • Determining a restaurant’s most profitable operating times
  • Choosing the best expansion locations to add new restaurants
  • Understanding how to attract more customers

Accurate POI data can reveal growing residential areas with the most opportunities for growth, and it can help you discover where your business will be most successful.

Mapping

Reliable navigation is essential for numerous businesses. For example, food-delivery and ride-share companies rely on POI to meet or exceed customer expectations. If you operate one of these services, precise travel estimates help your company’s employees provide on-time arrivals.

Consumer Packaged Goods (CPGs)

If your company sells consumer packaged goods, your top priority is determining where you can reach the most customers. POI data can help you accurately predict your addressable market within a particular area. It provides insight into factors such as:

  • Consumer preferences and behavior
  • Regional trends
  • Competitor presence
  • Market saturation
  • Sales potential

CPG companies can use POI data to plan expansion efforts successfully. For example, if you want to advertise a new sports drink at a football stadium, you can use POI data to analyze the stadium’s visitation patterns and strategize the best times and methods to display your advertisements. POI data can also help you decide which product lines to sell and how much you should invest.

Third-Party Logistics

The e-commerce industry relies on third-party logistics and POI data to fulfill and deliver orders efficiently. With accurate POI data, your company can perform the following tasks:

  • Track fleet movements
  • Map residential areas and optimize fleet routes for efficient delivery
  • Address blank sailings effectively
  • Analyze coverage and choose appropriate pick-up and drop-off points

POI data makes it easy to minimize travel time and distances. It provides insights into warehouse, store and delivery locations so you can choose the best routes for customer satisfaction, fuel reduction and decreased travel costs.

Fintech

POI data is essential in the finance and insurance industries. Financial technology (fintech) consists of cloud computing, artificial intelligence, blockchain and big data systems that help firms make strategic decisions. POI data enhances these systems with precise information and insights. If your business is in the financial industry, you can use POI data to:

  • Determine the best locations to open bank branches
  • Increase a region’s ATM coverage
  • Target advertising to the right audience
  • Complete competitive analysis
  • Identify investment opportunities in specific regions
  • Analyze market share dynamics

If you manage an insurance company, POI data can help you perform risk assessments for specific areas. With this data and the information it reveals, you can develop the most beneficial policies to safeguard individuals and help you minimize financial risks. Mapping structures in disaster-prone areas allows you to increase policy premiums where damage is likely. You can also use POI data to enhance verification processes for greater fraud detection.

Real Estate

POI data also significantly benefits real estate investing. You can analyze important factors with POI data before renting or buying property, assessing property valuation accurately. Renters and homebuyers typically prefer properties in close proximity to the following:

  • Schools
  • Parks
  • Shopping facilities
  • Amenities
  • Local attractions
  • Hospitals
  • Local business opportunities

The more desirable your investment properties are, the higher your return on investment is. POI provides the data you need to choose the most profitable properties based on location factors, and it can help you predict real-time real estate trends and pricing.

Boost Your Company’s Success With POI Data From dataplor

Understanding the applications of POI data reveals how beneficial it is. Analyzing POI data can help you optimize location, attract more customers, boost efficiency, outperform your competition and increase profits. dataplor offers globally-scaled and human-reviewed POI data to help your company grow and expand successfully.

Our data is human-reviewed, so you receive the most comprehensive and accurate data possible. We also ensure data is certified for privacy, and we don’t collect personally identifiable information, foot traffic data or spending data.

Contact us to learn more about how our data services can enhance your business.

Choosing a POI Data Provider 

Dec 12, 2023 /

Choosing a POI Data Provider 

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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 POI 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. Understanding how to choose a POI provider will set you and your company up for success. 

What to Look for in Your POI Provider 

Data drives business, and POI 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: 

  • Accuracy: Obtaining accurate data and information from reliable first, second and third-party sources from a POI provider is paramount. A comprehensive provider should also periodically refresh their data to reflect real-world changes in the marketplace. 
  • Collection methods: Every POI provider gets their information from somewhere. It’s wise to be aware of their collection strategies to ensure they are legal, align with privacy regulations and are cost-effective for your project needs. 
  • Location: Verify your provider supplies meaningful information in the places you want to learn more about. Many specialize in certain areas, while others cover vast regions. 
  • Completeness: Your team can leverage countless types of data points. Provider’s data sets should incorporate more than just phone numbers and business hours. 

Partner With dataplor to Satisfy All Your Data Needs 

Acquire precise global data from dataplor to support your strategic decision-making efforts. We are 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 POI datasets. dataplor goes above and beyond the competition by providing a consistent real-time data supply to shed light on 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. 

Buy POI Data From dataplor

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 today.

Geospatial Data 

Dec 01, 2023 /

Geospatial Data 

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Geospatial data is information regarding objects, events or other features characterized by its relation to the Earth’s surface. This data generally combines location-specific details, like coordinates, with additional information — like the location’s attributes and time — to provide more context for an area. 

dataplor is a leading global location intelligence supplier with the technology and resources to power your business’s most important decisions. 

What Is Geospatial Data? 

Geospatial data comes in one of two ways: as vector or raster data. Vector data uses points, lines and polygons to display geographic features like roads or rivers. Raster data consists of models using a grid of equally sized cells to represent information such as temperature and soil quality. 

Census documents, weather reports, satellite imaging and physical maps are typically used to collect these data points to create multilayered visualizations. These visuals paint a complete picture of how land is used and what the people living on it are like.

Common types of geospatial data include: 

  • Point clouds
  • Census data
  • Social media statistics 
  • Computer-aided design (CAD) images 
  • Satellite imaging 

How Can Geospatial Mapping Technologies Benefit Your Business? 

Collecting geospatial data is a crucial activity that provides an in-depth look at specific locations. Using global positioning systems (GPS), drones and geospatial information systems (GIS), businesses can gather, store and convert vast datasets into usable formats, like 3D maps or graphics. 

Professionals leverage these geospatial mapping technologies to engage in detailed analyses of areas. This information enables the recognition of patterns and trends to fuel decision-making and predictions. For example, businesses can investigate characteristics like nearby attractions and time in business to aid in product distribution or location selection. 

Technology focused on collecting and manipulating geospatial data can help you better understand a location from all angles. Using this information provides assorted benefits, including:  

  • Improving decision-making: Collecting location-specific information allows you to better understand a region and the people within it. This ability will ensure you implement strategies and identify risks to seamlessly fit within an environment and drive your business toward success. 
  • Better understanding your customers: Every location is unique, as people have different habits and interests. Knowing more about the area’s business landscape  will provide vital information to identify beneficial investments and inform your marketing activities.
  • Identifying your competition: Leverage geospatial data to remain current with what your competitors are up to. This information will help you fill the gaps and differentiate yourself to attract more customers. 

Count on dataplor for Detailed Geospatial Datasets

Maximize your decision-making procedures using dataplor, the premier geospatial data provider. We supply our clients with detailed location intelligence to fuel their daily operations. We utilize modern technology to collect, analyze and create vast geospatial graph databases to identify potential opportunities and better understand your customer segments. 

Our reach extends across more than 250 million locations in over 200 countries and territories, allowing us to strategically reach new audiences and enter new markets with the confidence you deserve. Our team of international data analysts, validators and scientists with local knowledge routinely inspect and verify our real-time data. They look for errors, duplicates or inaccuracies to maximize growth and success. 

Contact Our Team for More Information

Leverage experienced geospatial data services to gain valuable insight to drive your operations toward the future. Contact our experts online to learn more about our services today. 

Point of Interest Metadata 

Dec 01, 2023 /

Point of Interest Metadata 

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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.

What Is Metadata? 

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. 

Uses of Point of Interest Metadata 

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: 

  • Identifying competitor features
  • Enhancing customer experiences
  • Optimizing operations management
  • Locating potential partnerships

dataplor Is Your Go-To Point of Interest Data Provider

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. 

Connect With Our Experts to Learn More

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.