Author: James Ewen

James es el jefe de marketing de Tamoco

Categorías
Datos

Visualizing Geospatial Data & Location Data – The 16 Top Methods

geospatial-locatoin-map-vizualization

The Importance of Visualizing Geospatial Data

Welcome to the wild and wonderful world of geospatial data visualization! If you’re anything like us, you find that maps just have a certain je ne sais quoi that makes them endlessly fascinating. But let’s be real, maps aren’t just for daydreaming about far-off places. They’re powerful tools for understanding and communicating information about the world around us. And that’s where geospatial data comes in.

At Tamoco,we’re used to map vizualizations with our cutting-edge data collection and analysis techniques. We’re providing high quality data that goes into creating those mesmerizing maps we all love so much.

But whether it’s our data or data from another source, what do you do with it? That’s where visualization comes in, and that’s exactly what we’re here to talk about today.

We’ve scoured the depths of the internet and consulted with experts in the field to bring you a comprehensive list of 20 different methods for visualizing geospatial data on a map. Whether you’re a data scientist, a GIS specialist, or just someone who appreciates a good map, we’ve got something for you.

Method 1: Heat Maps

Alright, a heat map is like a choropleth map’s cooler and more sophisticated cousin. Both use colours or shades to represent different values or value ranges, but where a choropleth map uses discrete cells constrained by geographical or political boundaries, a heat map presents them as a smooth and seamless spectrum.

This makes heat maps perfect for uncovering hot spots and low concentrations of a variable with more precision. But, just like anything worth doing, this precision comes with a price. Heat maps often require converting discrete data points into a continuous spectrum via algorithms, which can compromise on accuracy.

Use case: Smart Cities

Let’s say I’m looking to understand where to build a new cycle lane in a city. By generating commuting data and using it to build a heat map, I can identify hotspots where cyclists will cause a lot of disruption. Using this data, I can see the areas which need alleviating.

Example of heat maps

This is a great map of the distribution of restaurants across the US.

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Method 2: Choropleth Maps

These maps use different shades of colour to represent different values or value ranges within geographical or political boundaries. So, in a nutshell, it’s like a colouring book for data nerds where each country, state, or region gets its own colour.

Creating a choropleth map is a piece of cake. You start with a base map, and then you use different shades of colour to represent different values or value ranges within geographical or political boundaries.

But before you get too excited, it’s important to remember that choropleth maps also have their limitations. They don’t give you any information about the magnitude of the variable, and they can be misleading if the geographical or political boundaries aren’t well-defined. But when used correctly, choropleth maps can be a powerful tool for understanding the distribution of a particular variable within geographical or political boundaries.

Use case: marketing

Let’s say you’re a marketer, and you want to see which states in the US have the highest sales of your product. You could use Tamoco’s data to create a choropleth map that shows the visits to your stores by state. The states with the highest sales would be coloured differently than the states with the lowest sales.

Example of a Choropleth map

The classic example which can be seen below is a population density map.

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Method 3: Proportional Symbol Maps

Up next on the geospatial data visualization train is the Proportional Symbol map. These maps use symbols, such as circles or squares, to represent different values or value ranges, and the size of the symbols is proportional to the value of the variable.

Use case: analysis

For example, let’s say you’re a scientist, and you want to see the distribution of a certain species of birds across a region.

You could use a dataset that shows this distribution to create a proportional symbol map that shows the number of sightings of the species by location. The locations with more sightings would have bigger symbols than the locations with fewer sightings.

Proportional symbol maps also have their limitations. They can be misleading if the symbols overlap and they don’t give you any information about the geographical distribution of the variable.

Example of a Proportional Symbol Map

Again it’s a political example where the breakdown of votes in each state are shown by using a pie chart as a symbol on this map of the US.

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Method 4: Dot Density Maps

Let’s have a little look at the next visualization type in this post: the Dot Density Map. These maps are used to represent a variable within a certain area. The more dots within an area indicate that the variable is more abundant.

Use case: health

If you work in public health, then you might need to understand the distribution of a disease across a geographical region. You could use Tamoco’s data to create a dot density map that shows the number of cases of the disease by location. The locations with more cases would have more dots than the locations with fewer cases. In this example, The dots can be colour-coded to represent different types of cases, for example, severe or mild cases.

The limitations of this kind of map are usually that they can be misleading if you don’t have enough detail in the map. There is also no magnitude of the variable in a lot of cases.

Example of a Dot Density Map

 

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Method 5: Isarithmic Maps

These maps are game changers. They take a little bit of everything and make it into a scrumptious feast for the eyes. It blends the beauty of contour lines with the detail of a choropleth map to give you an explosion of information. The lines represent equal values, and as they get closer, the values get higher. Think of it as a topographical map but more impressive.

Use case: meteorologist

Well, let us imagine you’re a meteorologist, and you want to study the precipitation patterns in your city. With an isarithmic map, you can show the rainfall distribution across the city in an easy-to-understand manner. The closer the lines, the higher the rainfall. It’s a visual representation of the data that brings it to life.

Not only do isarithmic maps make data more digestible, but they also add a touch of artistic flair to your presentations. No longer do you have to stare at boring bar graphs or pie charts. With an isarithmic map, you can show the world’s location or geospatial data in all its splendour.

Example of a Isarithmic map:

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Method 6: Flow Maps

Let’s take a look at a real-world example of flow maps in action. Say you’re the CEO of a large logistics company and you want to visualize the shipping patterns of your fleet of trucks. With a flow map, you can plot the origin and destination of each shipment, creating a web of lines that show the routes taken by your trucks. The thicker the line, the more shipments moved along that route. This allows you to easily see the busiest routes, where bottlenecks might be, and where your fleet is most efficiently moving goods.

Use case: logistics

Let’s take a look at a real-world example of flow maps in action. Say you’re the CEO of a large logistics company and you want to visualize the shipping patterns of your fleet of trucks. With a flow map, you can plot the origin and destination of each shipment, creating a web of lines that show the routes taken by your trucks. The thicker the line, the more shipments moved along that route. This allows you to easily see the busiest routes, where bottlenecks might be, and where your fleet is most efficiently moving goods.

Example of a flow map:

 

 

Method 7: Density-Equalizing Maps

Have you ever seen a map that looks like a distorted mess, leaving you feeling discombobulated? That’s where Density-Equalizing Maps come in to save the day! These maps make sure that regions with higher density are represented as larger in area, as opposed to just appearing larger because they’re closer to the center.

Use case: city planning

One classic use case of Density-Equalizing Maps is in the field of population demographics. By accurately visualizing areas with higher population density, policy makers and urban planners can make informed decisions about urban development, resource allocation, and emergency preparedness.

Example of a density-equalizing map:

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Method 8: Dot Maps

Dot maps are quite beautiful when you think about it. A great representation of multiple data points – that use dots to represent individual parts.

The density of dots in a single location represents the concentration of data points in that area. Each dot represents a single instance of data, so it’s a very, very effective way to visualize the distribution of data.

These maps are even more useful when you have huge amounts of data to understand and want to avoid excess clutter on your map. They are great for visualizing data over a large area, such as a city or country, as they allow you to see patterns and relationships that may not be immediately obvious with other mapping methods. They are also a fantastic way to visualize changes over time, as you can create a series of maps that show the evolution of the distribution of your data.

Use case: store planning (retail)

Let’s say you want to understand every Starbucks in your city. A dot map would be a great way of plotting this on a map. A single dot equals a single Starbucks. The more dots you see in an area, the higher the distribution of Starbucks in the area.

Example of a dot map map:

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Method 9: Cartograms

Cartograms are a phenomenal way to visually represent geographical data. Instead of using traditional maps, cartograms distort the size of geographic regions to reflect the magnitude of the data being displayed. Think of it as a funhouse mirror for geospatial/location data, where the size of each region is adjusted to reflect its importance in the data set.

Cartograms provide a unique and fun way to represent geographical data, while still being a powerful tool for visualizing and understanding complex data sets. Whether you’re a data analyst, geographer, or just someone who loves maps, cartograms are sure to add a new dimension to your understanding of the world around you.

Use case: government

An example of a use case for cartograms can be seen in the representation of population data. A population cartogram would adjust the size of each region to reflect the size of its population, with larger regions representing areas with higher populations. This type of representation can quickly bring attention to the areas of the world with the largest populations and help to identify the potential locations for targeted campaigns or resource allocation.

Example of a cartogram map:

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Method 10: Hexbin Maps

Now we arrive at the world of Hexbin Maps! Picture a world where data isn’t simply scattered like confetti on a map, but is instead grouped into beautiful, hexagonal shapes. That is the wonder of hexbin mapping.

Hexbin maps, as their name suggests, involve aggregating data into hexagonal bins. This is particularly useful when you have a large volume of data points to represent in a small space, and want to avoid clutter. The size of the hexagons represents the density of data points in a given area.

In a nutshell, hexbin maps are a way to take data overload and turn it into a chic and digestible form. They’re perfect for situations where you have large datasets and want to make quick and easy comparisons between areas

Use case: Tamoco

So, let’s take Tamoco for instance. We collect location data from millions of devices every day. Now, imagine if we had to display the data points for each device on a map. It would be a bit of a mess mess! But, with hexbin maps, we can aggregate the data into hexagons, effectively summarizing the data in a visually appealing and meaningful way.

Example of a hexbin map:

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Method 11: 3D Maps

Oh, now we’re getting into some serious geospatial magic. 3D maps take mapping to a whole new dimension (literally!) and can bring a level of realism to your data visualization that’s simply unmatched.

Think about it, with traditional 2D maps, you’re stuck with a flat representation of the world. But with 3D maps, you can now see buildings, terrain, and other features in their actual, three-dimensional form. This allows you to better understand the relationships between various elements and how they interact in the real world.

Use case: real estate

Let’s say you’re a real estate developer and you want to showcase your latest project to potential buyers. You could create a 3D map that allows people to explore the virtual city, walk down the streets, and see the buildings from all angles. This not only gives potential buyers a better sense of the project, but it also provides an immersive, interactive experience that’s simply not possible with 2D maps.

Example of a 3D map:

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Method 12: Interactive Maps

These maps allow you to explore and interact with data in a way that’s both intuitive and engaging. With interactive maps, you can drill down into the details, play with filters, and uncover hidden patterns and insights. It’s like having your very own personal geospatial detective ready and waiting to solve any mapping mystery.

This is exactly what we provide to many of our clients here at Tamoco. We take complex geospatial data and provide our customers with a detailed interactive map where they can filter and change the view depending on their current needs.

Use case:  real estate

For example, imagine you’re a real estate agent with a portfolio of properties. You can use an interactive map to showcase your listings, highlight the best neighborhoods, and provide a wealth of information to potential buyers. With an interactive map, you can easily filter properties by price, location, square footage, and more. This helps you to tailor your pitch and demonstrate why your properties are the best investment. Your clients will love the ability to explore the data for themselves, and you’ll love how it streamlines the sales process.

Example of an interactive map:

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Method 13: Graduated Symbol Maps

This method uses graduated symbols to represent the dataset – it assigns different sizes of symbols to different values in the data. This size can be related to a metric of your choice in the datset itself.

These maps are a great way to visualize data that has a large range of values, such as population or income. By using different symbol sizes, you can effectively convey the information without overwhelming the viewer with too much detail.

Use case: government

An example of a use case for graduated symbol maps is to visualize population density in cities. By using graduated symbols, you can see which areas have the highest population density and which areas have the lowest population density. For example, in a city with a high population density, the symbols would be large, while in a city with a low population density, the symbols would be small.

Example of a graduated symbol map:

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Method 14: Dasymetric Mapping

It’s time to get a little bit fancy with our maps. Have you ever stumbled upon a choropleth map and thought to yourself, “Well this is nice, but it doesn’t quite capture the real deal”? Enter dasymetric mapping, the map lover’s answer to the choropleth’s limitations.

Dasymetric mapping, also known as “value-by-alpha mapping”, takes the idea of choropleth mapping and adds a little extra oomph by incorporating detailed boundary information to create more accurate and nuanced maps. This method allows you to control the boundaries of your map areas and assign data to specific areas within those boundaries.

At Tamoco, we’ve used dasymetric mapping to help companies better understand the distribution of their customer base. By mapping out population density and overlaying customer data, we’ve been able to identify areas with a high concentration of customers and make more informed decisions about where to open new locations.

Use case: population density

A prime example of where dasymetric mapping can come in handy is when mapping population density. In a typical choropleth map, population density may be portrayed on a large scale, with a single color representing the entire area of a city or even a whole country. But with dasymetric mapping, you can get down to the nitty-gritty by mapping population density at the block or even the building level!

Example of a dasymetric map:

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Method 15: Contour Maps

The concept behind these maps is simple – these maps depict changes in elevation with contour lines, much like those you’d see on a topographic map. But why settle for 2D when you can have the whole shabang? With Contour Maps, you can visualize the changes in elevation as a 3D representation of the terrain.

Use case: agriculture

One stellar example of where Contour Maps can be a real game changer is in the world of agriculture. Picture this: you’re a farmer, and you want to maximize the yield of your crops. But, you don’t want to leave anything to chance, you want to know exactly how the elevation of your land affects the growth of your crops. Enter Contour Maps. These bad boys can help you determine the slope of your land, which in turn can help you determine the best irrigation and drainage strategies for your crops. You can even take it a step further and integrate satellite imagery with your Contour Map to get an even more accurate representation of your land.

Example of a contour map:

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Method 16: Bubble map

In a nutshell, bubble maps are maps that use bubbles (or circles) to represent data points. The size of the bubble is proportional to the magnitude of the data being represented, while the color and position of the bubble provide additional metadata or information.

Use case:

Bubble maps are an excellent way to showcase data that has both a geographical and a numerical component. For instance, let’s say you’re trying to visualize the distribution of billionaires across the world. You can use bubble maps to show not only where the billionaires are located, but also how many there are in each location. The bigger the bubble, the more billionaires in that area.

Example of a bubble map:

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Conclusion: Choosing the Right map for Your Data

Well, that was fun, wasn’t it? A lot of maps for you to dig into, each with its own quirky strengths and charming quirks. But with so many options, how do you choose the right one for your geolocation data?

So let’s start by asking what you’re trying to accomplish. Are you simply looking to display raw location data, or do you want to do something related to footfall to visits? Do you want to highlight patterns and correlations, or are you more interested in conveying information through symbols and shapes?

Once you’ve got a handle on your end goal, consider the data you’re working with. Is it dense or spread out? Does it have many dimensions, or just a few? Do you need to represent change over time or just a snapshot in time?

And finally, think about your audience. Will they be looking at your map on a screen or holding a printout in their hands? Are they data experts, or will they need a little extra guidance to understand your message?

No matter what method you choose, the key is to ensure your map is visually appealing and easy to understand. After all, the most beautiful map in the world is useless if no one can figure out what it’s trying to say.

At Tamoco, we understand the importance of maps and the role they play in visualizing and communicating data. That’s why we offer a wide range of mapping options for you to choose from, each with its own unique style and capabilities.

So why not give Tamoco a try and see what amazing maps you can create with our data today?

Categorías
Geoespacial

The Impact of the Discourse Community on the Exploration of Geospatial Analysis

GIS analysis uses geographic data to solve issues and make choices. It analyzes patterns and correlations using geography, computer science, and statistics. Geospatial data has affected environmental research, urban planning, public health, and transportation. However, the discourse community, the collection of individuals who share a language and purpose, can also influence geographical data discovery and growth.

 

Finding Opportunities

Funding and grants may help the discourse community shape geospatial analytic research. Varied organizations have different interests and aims, which might affect financing. With that being said, reading discourse community essay examples for college can be effective in understanding this matter. These articles are useful and informative for this niche enthusiasts. A public health discourse community may emphasize research on disease outbreak spatial distribution, whereas transportation discourse communities may favor transportation network optimization. These objectives affect research and methodologies.

The Role Of PGIS

Traditional PGIS uses paper maps, interviews and questionnaires to maintain spatial properties. Data is gathered to be searched and analyzed by computer GIS software and disseminated through computer-generated maps. Specialized knowledge and class- and gender-segregated local wisdom are used. It gathers various sets of participants from the community and non-governmental institutions. It is built on elevated levels of stakeholder engagement in the stages of spatial learning, judgment, and action. Technological agencies and politicians might debate concerns and exchange ideas here.

Influence On Certain Data

Geospatial analysis data and tools are affected by discourse organization. Data availability and accessibility vary per discourse community, as do data sources and formats. Geospatial analytic software and techniques may also vary by discourse community. Environmental research groups may choose open-source software, whereas urban planning teams may prefer software with a better visualization. And these are great examples of how certain data can influence discourse units.

Shaping The Guidelines

Discourse unity can play a role in shaping the standards and guidelines that are used in geospatial analysis. And that’s important for every student to remember. Varying communities have different data quality, accuracy, and precision expectations. And that might affect standards and recommendations. The discourse collective may also shape geographic data and analysis of best practices and ethics. Personal data utilization in spatial thinking may vary by discourse community.

Education And Practice Of Geospatial Analysis

Finally, professional organizations and certification programs may help the GIS community educate geospatial analytic experts. Professional groups may help members network and improve professionally, as well as set industry standards. Certification programs can assist geospatial analysts to show their expertise and create industry standards. They are based on prolific data that can bring positive results. People might work together alongside these courses. In the end, education is the core of success. And geospatial analysis is not an exception.

Sharing The Ideas

The discourse community sets research, communication, and cooperation standards that affect geospatial analysis. It may provide criteria for gathering and analyzing geographical data, standards for making maps and other visualizations, and methods for sharing and utilizing spatial information. It promotes geospatial analysis through sharing ideas, information, and skills. Discourse community members may exchange research results, debate new methods and technologies, and cooperate on projects via conferences, journal papers, and other means.

Setting Research Priorities And Providing Support

The discourse community can influence the direction of research in geospatial analysis by identifying and prioritizing important questions and issues that need to be addressed. This can help to ensure that research efforts are focused on areas of greatest importance and relevance. The discourse community can provide resources and support to professionals working in the field, such as access to data, software, and other tools. This can help to foster the development of new techniques and technologies and support the advancement of geospatial analysis.

Conclusión:

The discourse community helps geospatial analysis evolve. It affects research paper topics, information transmission, and professional training. Geospatial analysis practitioners and scientists must interact with the discourse collective to remain abreast of field advancements and best practices. It’s all in them putting in enough effort.

 

Categorías
Datos

Ways Geospatial Analysis Can Help Solve Challenges in Education

Geospatial analysis is a powerful tool for visualizing and understanding geographic data. It enables us to make connections between different types of geographical information, such as population density, land use patterns and climate change. By applying statistical techniques to the data sets obtained from remote sensing platforms and terrestrial surveys, we can gain insights into how our planet works and uncover hidden trends in the environment. 

What can GIS be used for?

 

This knowledge can be used for a variety of applications, including urban planning, environmental protection, public health initiatives or resource management. Geospatial analysis also helps us gain a deeper understanding of natural disasters, such as floods or hurricanes, by providing an interactive way to study their effects on society at large. In fact, it’s a very common topic to study at universities. However, it’s quite complicated too. So if you were given an assignment on GIS and you need help with it, check the latest tech tools for students. For example, you can use a summary generator for essay that will reduce your time spent on writing. As a result, you will have a chance to spend more time reading about GIS than writing about it. 

 

In short, geospatial analysis provides a powerful means to better understand our world, helping us make more informed decisions about how to manage and protect it. 

What are the benefits of geospatial analysis?

 

Using geospatial data in analytics offers a variety of potential benefits, including improved accuracy and more in-depth insights. Geospatial data can be used to take into account the physical location of events or objects being studied in an analysis. Thus, it provides contextual information that is impossible to deduce from other kinds of data sources. 

 

Geospatial data can aid disaster relief efforts by allowing organizations to track the movement of people, supplies, or equipment in real-time. It can also provide valuable insight into traffic flow patterns and subtle environmental changes through satellite imagery. In addition, geospatial data can help companies better understand their customer base by mapping out where customers live and how they interact with the company’s products or services. 

Why GIS in education matters

 

GIS is an essential tool for understanding our constantly changing world. Through its mapping tools, GIS promotes spatial literacy: awareness of how physical and human phenomena are related to geography. This type of knowledge is increasingly necessary in today’s interconnected world, where decisions made in one location can have a global impact.

 

The use of GIS in education has been linked to improved academic performance, critical thinking skills, problem-solving abilities, and increased engagement with learning activities. Students who learn about geography through GIS experience more success on tests that measure their geographic knowledge. By combining complex data sets from different sources into interactive maps, students better understand the relationships between data points and gain valuable insights into the trends shaping our planet.

 

GIS also teaches students to look at data from multiple perspectives, encouraging them to think analytically and challenge assumptions. This type of critical thinking is essential for making informed decisions about the future of our planet. As GIS technology continues to evolve and expand, it will remain a vital tool for educating the next generation’s problem-solvers and innovators. GIS in education helps students develop the skills they need to become responsible global citizens who can make meaningful contributions to their communities and the world at large. 

 

By providing students with an understanding of geography and its related phenomena, GIS helps create an awareness of the role that physical location has on human behavior and decision-making processes. Students gain an appreciation for how the environment can influence our lives and how human actions can shape the earth’s future. As GIS continues to play an important role in education, its potential to inform and educate future generations is immense. In a rapidly changing world, GIS tools are essential for helping students understand their place in it.  With access to up-to-date datasets from around the globe, GIS provides invaluable insight into our planet’s current state as well as its possible futures. 

 

Therefore, GIS should be recognized for its importance in education and offered as part of any comprehensive geography curriculum. It is through this kind of instruction that students will gain the knowledge they need to make informed decisions about their own pathways and those of our ever-changing world. 

En conclusión 

 

Employing GIS in classrooms and other educational settings is an essential step towards equipping our students with the knowledge they need to make meaningful contributions to society. By leveraging GIS’s mapping tools, educators can provide students with a better understanding of spatial relationships and better equip them to tackle the challenges of tomorrow. Whether it be analyzing population trends or studying natural phenomena such as climate change, GIS provides a valuable platform for teaching students about their place on this planet and how their individual actions can have far-reaching impacts. 

Categorías
Geoespacial

How Geospatial Data In Fintech Is Expected To Revolutionize The Way You Bank

With an estimated compound annual growth rate (CAGR) of 19.8%, the Global Fintech market will hit $332.5 billion by 2028. And there are no signs of slowing down in sight.

Deloitte says the second wave of fintech is right around the corner. And it involves partnering with technology companies to use data to gain access to new markets, understand their customers, and learn the “secret sauce” that powers innovation.

In a fast-paced industry that requires quick thinking to stay at the top, fintech companies are turning to geospatial data to help improve their offerings.

By using this information, businesses can understand their customers’ behaviors and use that knowledge to create products and services that meet their needs.

In this article, we’ll explore how geospatial data will revolutionize how you bank and participate in any other kind of financial transaction, for that matter.

Let’s dive in. 

 

What is geospatial data in fintech?

Geospatial data or location data is inherently dependent on location or organized so that it can be easily mapped to various locations.

And it’s becoming more and more common in fintech applications to help financial institutions better understand their customers.

For example, geospatial data helps track where people use mobile banking services or how often they visit their bank in person. Now banks can access powerful data that’s perfect for making data-backed decisions about which locations should receive new branches or ATMs based on customer demand and behavior patterns.

With the growing demand for geospatial data, financial institutions are rapidly investing in data center infrastructure. Fintech companies need the right technology to store and manage new data sources. Without it, they can’t keep up with a competitive industry that wants to serve its customers.

Let’s review some ways geospatial data in fintech is revolutionizing the banking industry. 

 

Increase location-based services

Location-based services are one of the most popular uses of geospatial data. These services use your phone’s GPS (or other location-based technology) to pinpoint your location and then deliver relevant information based on that location.

Take Starbucks, for example. As you drive or walk closer to a Starbucks brick-and-mortar location, your Starbucks card that’s stored in your Apple wallet suddenly appears on your smartphone’s lock screen. If you weren’t daydreaming of a pumpkin spice latte, you are now.

Banks can learn a thing or two from Starbucks. Starbucks holds more than $1 billion in deposits from gift card sales, both in the physical form and on their mobile app.  

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Not only do they hold more cash than many banks, but they also put geospatial data to excellent use. The simple notification that you are near Starbucks plants a seed in the consumer’s mind. Now, they can’t pass up that pumpkin spice latte on a crisp fall afternoon.

According to a recent study by Capco, customers are highly interested in text alerts and notifications about opportunities to transact more efficiently.

Banks can use Starbucks’ location-based strategy to send a message to your phone when you are near an ATM. This alert is especially helpful if it’s been a while since your last visit, and you might need to restock your wallet with cash.

Or, if you enjoy the buy now, pay later option, you might receive alerts for all the stores that accept this payment method during your next shopping spree.

 

Improve customer experience with personalized services

The future of financial services is here and more personalized than ever.

In the past, you might have had a relationship with your bank that was mainly transactional: you’d go in, deposit checks, withdraw cash from an ATM, maybe get a loan, or apply for credit. That’s all well and good — but it doesn’t give you the kind of personalized experience that we’re seeing more and more in fintech these days.

Nowadays, banks are looking to improve their customer experience by offering tailored services based on where you live, what kind of lifestyle you lead, and your spending habits.

With this information, they can offer different products or services based on what would be most helpful to each client individually — and ultimately build a foundation of loyal customers.

Consumers want an easy, streamlined experience with their bank. When customers receive offers for products that are contextually relevant, they’re more likely to engage with them. Regarding finding and shopping for financial products today, 65% of banking customers believe institutions should make it easier.

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Geospatial data will become an integral part of customers’ experiences in the future as they interact with their financial institutions through mobile apps.

Fintech companies can use data about people and their assets to make better decisions about product development and deliver personalized marketing strategies.

 

Enhance fraud detection and prevention

With great power comes great responsibility. Fintech companies have access to a lot of data, and they’re using it in new ways to detect and prevent fraud.

For example, a bank uses geospatial data from its mobile app to determine the location of its customers. This data provides insight into how often customers use the app in certain areas, helping to indicate potential fraudulent activity.

So if someone is logging into their account from Moscow, Russia, instead of Los Angeles, California, for example, that could indicate a red flag — and adjustments are made to freeze the account until the transactions are approved or denied by the account holder.

Other fintech companies are turning to the dynamic duo, geospatial data and artificial intelligence, to create algorithms that detect money laundering based on behavioral patterns found within financial transactions. 

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Geospatial data helps them identify specific areas where this activity occurs (think casinos), allowing them to focus their attention on one area instead of wasting resources elsewhere.

Add in the power of machine learning, and a computer can learn to identify fraudulent schemes from previously identified patterns and then decide whether to approve an ongoing transaction.

Geospatial data has a lot of potential for fintech, but one of the most precise ways it’ll revolutionize the way you bank is by enhancing fraud detection and prevention.

Wrapping up

The wants and needs of consumers are constantly evolving and, frankly, only becoming more demanding. We all want transparency, simplicity, and convenience in every aspect of our lives, including how we manage our money.

Geospatial data will improve banking services and fraud detection by showing how consumers spend their money in real-time. Add in the power of artificial intelligence and machine learning, and you won’t even recognize the banking industry anymore.

It pays to be a mover and a shaker. 

Banks that quickly shift to investing in geographic information systems will set themselves apart from the crowd by creating a competitive advantage that’ll drive long-term business growth.

Categorías
Finance Marketing & Advertising Retail

What Is Footfall Data? All You Need To Know About Foot-traffic In 2022

Footfall data is something that has been around for a while now. But what do we mean by footfall?

This kind of dataset has changed depending on the use case and industry.

In fact, footfall has moved beyond simply measuring the number of people that enter a location.

We’ll take you on a deep dive into footfall data. We’ll show you what it is with detailed examples, as well as what it can be used for across many industries.

What is footfall?

Before we look at footfall data, we need to explain what footfall is.

For us, we have always defined footfall as:

The way that a group behave and move in the real world.

This explains the who, what, when and why of how this group of people visit a location.

This could be different for each business.

But mainly footfall can tell you:

  • Trends around behaviour
  • Changes in demographics
  • Visits to real-world locations
  • Anonymised data trends

Essentially footfall means understanding how people move and behave in the real world.

 

So what is footfall data, and what does it look like?

Footfall data is sometimes referred to as foot traffic data. It’s a data set that will usually contain a number of entries. 

The dataset as a whole will signify a number of visits to a real-world location.

These are aggregated and delivered in a few different ways.

 

Aggregated visits to a location

This will be a data set in which the number of visits to a location is aggregated. This is usually done by some kind of time window, such as hourly, daily, weekly or monthly.

 

Individual visits to a location

Similar to the above, but this time each row will signify a visit to a location. This will usually come with a timestamp and will be up to the person receiving the data to aggregate the data as they wish.

 

Characteristics of visitors at a location

In this dataset, the visits to a location are overlayed with demographics data to understand the calibre of person visiting the chosen location.

 

Comparisons of visitors to a location

This dataset will contain a comparison between two locations based on the desired metric. This could be demographic or an hourly number of visits.

 

Where is footfall/foot traffic data generated from?

These datasets can come from a myriad of sources. It’s important that you understand where your footfall data is generated from, as this can affect its accuracy. The most common sources are as follows:

 

Geospatial/Location data

Data is usually generated from a mobile device. This is collected and aggregated to protect user privacy. A good amount of versatility as a single data set can be used to measure visits to numerous locations. A good balance of scale and accuracy.

 

Sensory data

These are usually physical sensors that are placed in entrances to stores. Very accurate but limited mainly to retail and requires stores to install physical tech, so not very scalable.

 

Datos de compra

This kind of footfall data involves taking payment data to understand changing traffic in stores. It can be scalable but is not very accurate. This is mainly due to the fact that you are measuring purchases as opposed to visits.

 

How can footfall data help my business?

Traffic and movement trends

One of the main use cases for footfall data is for understanding changing traffic and movement trends.

These kinds of insights are valuable for businesses that are interested in physical locations. 

Examples of this use case are:

  • A retail location understands the changing number of visitors to its location. This could be a store or a real estate planner.
  • A city planner understands macro visits changes to plan infrastructure.
  • Financial companies looking to identify trends in behaviour for investment purposes.
  • OOH media owners measure how many people have seen their ads.

 

Visitor demographics

As mentioned, with overlapping datasets, it’s possible to show the demographic of visitors to locations. These demographics are features such as age, gender, interests. 

This use case traditionally sits more on the side of marketing and advertising. 

Example use cases are:

  • Marketers target consumers who have visited a real-world location.
  • Building lookalike audiences in advertising platforms.

 

Competitive analysis

This is similar to our first use case, but the target location will typically be a competitor. 

Examples of this use case are:

  • A store measures competitors’ traffic to target them with advertising.
  • A new site planner understands competitive performance to decide where to open a new site or venue.

 

Training ML

Footfall data can also be used to train emerging ML models. These models are being used to power new tools that can help solve problems in the real world.

Examples of this use case are:

  • Predictive insights into footfall
  • Complex financial predictions

 

Example of footfall data

Get started with best-in-class footfall data today.

 

Categorías
Data Retail

How Retailers Use Geospatial Data To Create Better Marketing Campaigns

If you’re a retailer, you know the importance of marketing your business digitally. You also know that your ability to effectively market to a consumer is what wins it for you. But, have you considered location-based marketing through geospatial data?

In this article, we are going to go over what geospatial data is, the benefits of utilizing geospatial data, and examples of retailers who use GIS for location-based marketing. 

First, let’s define geospatial data. What is it? 

 

What is Geospatial Data? 

Geospatial data is the use of technology, such as GPS, to create and store digital maps that help retailers better understand their customers. This information can be used to geotarget based on location and demographic information allowing marketers to create better-customized marketing campaigns in the long run.

The main use case for geospatial data is to segment audiences based on proximity to a location, but that’s not all it can do. Geospatial data can help you understand who your customers are, where they live, and how they spend their time outside of work hours — which can help you create marketing campaigns that drive results. 

Now that we went over the basics of what geospatial data is, we are know going to discuss some of its benefits as it relates to marketing. 

 

3 Benefits (and Examples) of Geospatial Data for Marketing

Did you know that 95% of executives across the globe believe that geospatial data is critical for achieving business success? Well, it’s true! Geospatial data is one factor that can really send your business over the edge allowing you to make better data-driven decisions for your overall business. This includes digital marketing as well. 

Still on the fence about marrying the concept of  GIS and marketing together? Here are three benefits of GIS marketing and examples of some of the top-name retailers who use GIS to improve their marketing efforts. 

 

Brings More Foot Traffic to Stores

Geospatial data is used to understand where shoppers are, where they’re going, and what they’re doing as they move around both inside and outside their stores. Retailers can then use this information to create tailored marketing campaigns that draw in more customers to their stores. In addition to this, geospatial data can also be used to keep customers in your stores longer.

 

Example: Sephora is Able to Better Segment Customers with Geospatial Data

Beauty retailer Sephora uses geospatial data to send its rewards members a pop-up notification anytime that a customer is in close proximity to one of its stores. The pop-up will generally have a marketing offer to come in for a “free mini makeover” making it almost too enticing to pass up — especially if they are already in the area. 

Once they are in the store, app users can visit the app to get personalized recommendations and to view reviews and product features in the easy-to-use platform. 

 

Better Targeted Advertising

Geospatial data allows your marketing teams to create better, targeted advertising campaigns that’ll drive your bottom line. 

For instance, let’s say you have a flower shop. You would want to pinpoint important location information of what neighborhood your ideal customer may live in and work in to ensure that any advertisement you launch online is shown to those specific groups of people. 

Through the power of geospatial data, you’ll be able to set better targeting parameters in your digital advertisements. 

 

Example: Under Armour Uses Location-Based Marketing through App

An example of a company that uses geospatial data for digital marketing is Under Armour. Under Armour uses GIS through its Map my Fitness app to give its users better-targeted advertising. From tracking the type of activities you do to knowing geographically where you’re located, the Under Armour fitness trackers are pretty robust in their tracking features allowing the company to market its users more effectively. 

How does this look in action?

If you use the Map my Fitness app to track your runs, you may start to get more advertisements for Under Armour running shoes. If you actively use the app in a location with a colder climate, you may start to see more advertisements for the Under Armour base layer. The list goes on. Through the app, the company is able to up-sell and cross-sell seamlessly without coming off as too “salesy”. 

 

Enhanced Personalized Messaging

Personalized messaging has been proven to have significantly higher engagement rates than non-personalized messages. In fact, 90% of consumers find personalized marketing more appealing than the latter. 

Geospatial data allows your teams to send out personalized messaging based on where your customers are located and what they’re doing at any given moment. Pretty neat right? Let’s take a look at how Ritual creates personalized messaging by using geospatial data. 

Example: Ritual Ordering Food App utilizes Personalized Messaging with GIS

Ritual food ordering app is known to connect users with restaurants in the area based on historical purchasing habits. (It’s similar to DoorDash or Uber Eats.) 

Ritual does a great job when it comes to personalization. The company will send personalized notifications to its users with food recommendations based on both area and taste preferences. These simple but powerful pop-up notifications make the customer more likely to open the app and place an order. They may not exactly purchase from the restaurant you suggest, but it gets them curious (and hungry) to find the right food place to make an order at. 

 

Transform Your Digital Marketing Efforts with Geospatial Data

All in all, geospatial data is everywhere. It’s one of the most important elements for marketers and advertisers to understand if they want to accurately target their audience. 

As a recap, geospatial data can: 

  • Bring more foot traffic to your store
  • Help you create better-targeted ads
  • Enable you to send out more personalized messaging

As more and more location-based data becomes available to retailers, it has become even more important now than ever before for retailers to use that data to their advantage. If not, you are missing out on the opportunity to improve your reach to those who need to see your message the most: potential customers. 

Categorías
Negocios

Cómo mantener la seguridad de su empresa mientras trabaja a distancia

Trabajar a distancia tiene muchas ventajas para los trabajadores y los contratantes, pero también ha aumentado las posibilidades de tener una brecha de datos o de seguridad. Por eso, como propietario de una empresa, es importante mantenerla segura.

El trabajo a distancia ofrece a los empresarios la ventaja de emplear a los mejores talentos para los puestos de trabajo sin importar la ubicación geográfica o las fronteras, a la vez que facilita el ahorro de espacio de oficina y otras cosas.

Sin embargo, la información o los datos pueden verse fácilmente comprometidos con el trabajo a distancia porque da acceso a un tercero al que el propietario de la empresa sólo ha conocido virtualmente.

Por ello, tanto los trabajadores como los propietarios de la empresa tienen una responsabilidad compartida a la hora de garantizar la seguridad de la empresa, y esto puede lograrse cuando el propietario de la empresa informa a sus trabajadores a distancia sobre la seguridad de la empresa y cómo puede protegerse.

Entonces, ¿cómo se puede gestionar la seguridad de la empresa mientras los trabajadores trabajan a distancia?

 

Educar a los trabajadores

La mayoría de los trabajadores no tienen ni idea de que hacer una empresa segura implica proteger los datos y la información de la empresa del acceso de personas ajenas. Esto significa que la seguridad de los datos tiene que ser una prioridad y es responsabilidad también de los trabajadores..

La ciberseguridad es muy importante en una empresa y la mayoría de los trabajadores pueden sentirse despreocupados por ella, especialmente cuando son trabajadores a distancia, por eso es necesario educar a los empleados.

Educarles sobre qué hacer y qué no hacer para garantizar la ciberseguridad es el camino a seguir. Aconsejarles que no abran carpetas de spam ni hagan clic en enlaces sospechosos ayudará a reducir el riesgo o la posibilidad de ser hackeado.

El método más sencillo que adoptan los empresarios para educar a sus empleados es pedirles que firmen un documento de política en el que se detalle todo lo relativo a la ciberseguridad, la protección de datos y la forma de compartirlos.

Este método ha sido muy eficaz para garantizar que los trabajadores, aunque sean remotos, tengan interés en que la empresa esté segura, ya que pueden incumplir el documento normativo que firmaron si no siguen los pasos necesarios para mantener los datos seguros.

La formación de los trabajadores a distancia puede parecer larga o costosa, pero es necesaria para la empresa a largo plazo.

 

Autenticación de dos factores

La mayoría de las plataformas de redes sociales ofrecen el uso de la autenticación de dos factores cuando una persona quiere iniciar sesión en su cuenta utilizando un navegador o dispositivo diferente.

With two-factor authentication, a code is usually sent as an SMS to a phone number or to an email to confirm identity before logging in after imputing a name and password. So, if you want to secure your activities better, consider using a phone validator to define whether the number is correct or not.

Lo mismo debería aplicarse a una empresa para mantenerla segura. Da tranquilidad tanto al propietario como al trabajador saber que existe una seguridad adicional para evitar el registro y el acceso a los datos de la empresa.

Las empresas que disponen de recursos utilizan la autenticación multifactor que no sólo pide el código sino el reconocimiento biométrico, de retina o de voz antes del acceso. 

 

Cuidado antes de responder:

Además, los trabajadores remotos deben ser conscientes de hacer clic en enlaces desconocidos y de abrir sitios aleatorios. Un usuario puede hacer clic en un candado para comprobar qué certificado SSL existe. Si un sitio web se ejecuta en varios subdominios, debería haber un certificado SSL comodín como RapidSSL wildcard, Thawte Wildcard SSL o cualquier otro cert es utilizado por la mayoría de las empresas para mantener su presencia en la web segura.

 

Seguridad de las conexiones a Internet

Los trabajadores remotos o autónomos eligen el trabajo a distancia por la flexibilidad que les ofrece. Trabajar desde cualquier lugar, ya sea en casa, en una cafetería, en un parque, etc., es lo que más les gusta a los trabajadores remotos.

Sin embargo, el uso de una red Wi-Fi que no sea segura puede exponer los datos de las empresas a una violación por parte de terceros. Por eso es necesario educar a los trabajadores y aconsejarles que utilicen una red privada virtual (VPN) antes de usar una red Wi-Fi pública.

El uso de VPNs ayuda a mantener la seguridad de una empresa y a la vez a tranquilizar a los trabajadores remotos, ya que el tráfico de Internet que utilizan estará encriptado, lo que dificulta la manipulación de los datos de la empresa.

Además, disponer de directrices sobre cómo debe utilizarse la WIFI pública ayudará a que los trabajadores sigan las normas y evitará que utilicen una conexión a Internet que pueda poner en peligro la empresa. 

Si algunos documentos son tan importantes que incluso con las VPNs es un alto riesgo acceder a ellos, entonces los trabajadores remotos deben ser instruidos para no abrirlos mientras usan una Wi-Fi pública.

 

Utilizar contraseñas variadas

La mayoría de la gente utiliza una sola contraseña para entrar en todos los programas o sitios que desea, lo que no debe fomentarse si quiere que su negocio sea seguro.

Como propietarios de empresas, los trabajadores remotos deben ser informados sobre el beneficio de utilizar contraseñas variadas para que los datos de la empresa estén protegidos.

Cuando se utilizan contraseñas fuertes y variadas, es difícil que terceros tengan acceso a los datos de la empresa. Una contraseña fuerte suele tener mayúsculas, un mínimo de un carácter especial y debe tener hasta 8 caracteres.

Algunas empresas utilizan un gestor de contraseñas que crea aleatoriamente contraseñas fuertes y variadas para sus usuarios, al tiempo que mantiene esas contraseñas seguras y fáciles de recordar.

Por otra parte, para mantener la seguridad de la información y de la empresa, se debe cambiar con frecuencia las contraseñas y asegurarse de que sólo se da acceso a información específica en función de lo que el trabajador esté manejando.

 

Utiliza un software útil

Para garantizar la seguridad de una empresa, los trabajadores deben tener instalados en sus dispositivos programas antivirus, antimalware y cortafuegos para proteger los datos de la empresa.

Companies use services of UCaas vendors enable the communication between company and remote workers. And, it is the responsibility of business owners to advise and also ensure that this software is used and also provide help where needed to the remote workers to ensure they comply.

Los trabajadores remotos pueden no estar interesados en mantener sus dispositivos protegidos cuando son conscientes de que la empresa ya tiene SSL como dominio único, multidominio, comodín como Thawte Wildcard SSL. Pero proteger la empresa es un deber y una responsabilidad de todos.

 

Reflexiones finales

Contar con trabajadores a distancia es muy ventajoso porque ahorra dinero y también permite acceder a personas de gran talento y cualificación sin importar la barrera geográfica.

Sin embargo, es aconsejable asegurarse de que su negocio es seguro incluso cuando trabaja con un equipo remoto si quiere que su negocio permanezca durante mucho tiempo. Por eso, aplicar los pasos que se han dado resultará útil.

El trabajo a distancia no debe ser perjudicial para el crecimiento de una empresa y la protección de la información o los datos de la misma. Por lo tanto, todos deben contribuir a garantizar la seguridad de la empresa.

 

Categorías
Noticias

Tamoco se une al programa Google Cloud Partner Advantage y lanza su Smart Visitation Data en Google Cloud Marketplace

  • Tamoco es una de las primeras empresas geoespaciales en ofrecer datos de visitas totalmente personalizables en Google Cloud Marketplace
  • Google Cloud Marketplace permite a los clientes conjuntos de Tamoco y Google Cloud explorar, acceder rápidamente a conjuntos de datos e integrarlos en sus flujos de trabajo diarios.
  • Otras soluciones de Tamoco incluyen datos geoespaciales en bruto e informes de análisis de elevación
  • Tamoco también se une al programa Google Cloud Partner Advantage.


Tamoco, a leader in geospatial powered intelligence, has announced the availability of its Smart Visitation Data on Google Cloud Marketplace. Google Cloud customers can now access powerful insights into venue visitation by accessing data in just a few clicks.
Tamoco’s Smart Visitation Data enables powerful insights into changing visitation trends, analysis into venue, brand, stock and category performance, and the ability to compare current visitation to historical trends.
This partnership will allow Google Cloud customers to easily integrate high-value geospatial visitation data in context within their analytics and workflows to more accurately connect the offline world to online studies of trends and patterns.
The availability of this dataset comes as a part of Tamoco joining the Google Cloud Partner Advantage program.
Sam Amrani, Founder & CEO, Tamoco:

"Ofrecer los datos de visitas inteligentes de Tamoco en Google Cloud Marketplace es un gran paso en nuestra estrategia de impulsar una mayor precisión y accesibilidad en el mundo geoespacial. Esta asociación facilitará casos de uso aún más inteligentes en múltiples industrias, ya que los clientes de Google Cloud buscan innovar con los datos geoespaciales."

Acerca de Tamoco

Tamoco es una empresa geoespacial galardonada que está poniendo el poder de la localización al alcance de todos. Su conjunto de productos de localización resuelve problemas en varios sectores, como el marketing, la publicidad, el sector inmobiliario y el comercio minorista.

Su Datos de Visitas Inteligentes aprovecha la tecnología más avanzada para verificar las visitas en lugares difíciles de medir y utiliza el ML para verificar y filtrar los puntos de datos incorrectos para obtener una visión más fiable y holística del comportamiento de los consumidores.

Categorías
Noticias

Los datos de visitas inteligentes de Tamoco ya están disponibles en el punto de acceso empresarial de Bloomberg

Tamoco, líder en inteligencia geoespacial, ha anunciado hoy que sus datos de visitas inteligentes son accesibles al instante para los clientes de la licencia de datos de Bloomberg a través del punto de acceso empresarial de Bloomberg.

Los clientes podrán acceder a los datos de visitas verificados y filtrados de Tamoco como parte del catálogo de Datos Alternativos de Bloomberg, proporcionando una visión completa de la afluencia y las visitas desde un conjunto de más de 200 millones de dispositivos.

Este conjunto de datos cubre más de 5.068 marcas en 402 categorías en los Estados Unidos, con fecha de enero de 2019, lo que permite potentes criterios de filtrado para obtener una visión única de las visitas a los locales.

Los datos inteligentes de visitas de Tamoco permiten obtener una visión muy completa de los cambios en las tendencias de visitas, el análisis del rendimiento de la marca y de las acciones, y la capacidad de comparar las visitas actuales con las tendencias históricas.

El aprovechamiento de estos conjuntos de datos a través del Punto de Acceso Empresarial de Bloomberg permite a los clientes de la Licencia de Datos de Bloomberg integrar fácilmente datos de visitas geoespaciales de alto valor en contexto dentro de sus análisis y flujos de trabajo, para conectar con mayor precisión el mundo offline con los estudios online de tendencias y patrones.

Para facilitar el uso de los datos, Smart Visitation Data de Tamoco incorpora el Sistema Global de Identificación de Entidades Jurídicas y asocia las marcas a su correspondiente Identificador de Entidades Jurídicas (LEI) , lo que permite a las organizaciones vincular los Puntos de Interés de Tamoco a las identidades corporativas de .

"Nos ha impresionado mucho lo que los usos iniciales de este conjunto de datos han podido conseguir. Confiamos en que su puesta a disposición a través del Punto de Acceso Empresarial de Bloomberg facilitará casos de uso aún más inteligentes en múltiples sectores, ya que el mundo pretende recuperarse del impacto en las empresas de los últimos años."

 

Acerca de Bloomberg Enterprise Access Point

El Punto de Acceso Empresarial de Bloomberg es un mercado de datos basado en la web para que los clientes descubran fácilmente los productos de datos de Bloomberg y actúen sobre ellos. Puede utilizarse para explorar conjuntos de datos, examinar metadatos, descargar y probar conjuntos de datos de muestra antes de su adquisición, y ponerlos inmediatamente en uso dentro de una organización. Proporciona acceso a la oferta OneData de Bloomberg, que incluye datos estandarizados de referencia, reglamentarios, de precios y cuantitativos.

 

Acerca de los datos de visitas inteligentes de Tamoco

Tamoco es una empresa geoespacial galardonada que está poniendo el poder de la localización al alcance de todos. Su conjunto de productos de localización resuelve problemas en varios sectores, como el marketing, la publicidad, el sector inmobiliario y el comercio minorista.

Su Smart Visitation Data aprovecha la tecnología más avanzada para verificar las visitas en lugares difíciles de medir y utiliza el ML para verificar y filtrar los puntos de datos incorrectos para obtener una visión más fiable y holística del comportamiento del consumidor.

Para más información, visite www.tamoco.com. Síganos en Twitter @tamocotech y síganos en LinkedIn.

Categorías
Venta al por menor

Aprovechamiento de la inteligencia local en el sector minorista

En esta era moderna de avances tecnológicos, sería un error decir que el mercado minorista no está experimentando un crecimiento similar. El número de clientes en línea está evolucionando rápidamente, y están surgiendo demandas de mayor personalización. Las industrias minoristas se están volviendo más poderosas al integrarse con las últimas herramientas de inteligencia artificial.

En 2019, el tamaño del mercado mundial de la inteligencia de localización fue valorado en USD 10.600 millones, y se estima que se expandirá a una CAGR del 15,2% durante el período de previsión. Además, según la GSMA, el número total de conexiones de IoT representó 9.100 millones en 2018 y se estima que alcanzará más de 25.200 millones en el mismo período.

La inteligencia de localización es cada vez más crucial para los minoristas, ya que proporciona resultados medibles fuera de línea, información escalable sobre el público y una mejor orientación del mismo. 

He aquí las cinco formas en que la inteligencia de localización está revolucionando las industrias minoristas. 

Información sobre los clientes

Si los líderes del comercio minorista comienzan a utilizar la inteligencia de localización, esto puede resultar beneficioso para ellos al provocar valiosos conocimientos de los clientes. Para ello se puede utilizar una tecnología llamada geoenriquecimiento. Esta tecnología convierte eficazmente las direcciones residenciales de los clientes en información útil. De este modo, los minoristas pueden utilizar los modernos sistemas de información geográfica para generar mapas inteligentes e identificar las ubicaciones más populares de los clientes de forma precisa y eficaz. Los minoristas pueden acumular información sobre numerosos datos demográficos de los clientes y sus comportamientos. Esto ayuda a los líderes empresariales a desarrollar un mejor conocimiento de las localidades de los clientes que son fieles. Los propietarios de negocios pueden optimizar el rendimiento del personal y tener una mejor experiencia de comportamiento de los clientes incorporando la inteligencia de localización en las industrias minoristas. 

Elmapeo interior de las tiendas minoristas es otra cosa que puede ayudar enormemente a conocer a los clientes. Gracias a esta tecnología, las tiendas pueden conocer los patrones de compra de los clientes y utilizar estos datos para impulsar diferentes tipos de productos y promociones.

Análisis de la zona comercial

El análisis de la zona comercial es esencial para que los minoristas seleccionen las ubicaciones adecuadas de una nueva tienda, definan los objetivos de ventas y estudien la fuerza de la competencia. Los minoristas pueden elegir las tiendas adecuadas en las que pueden acceder fácilmente a su público objetivo con el análisis de la zona comercial. La inteligencia de localización ayuda a los propietarios de negocios a disponer de información real sobre los diferentes comportamientos y datos demográficos de los clientes en torno a los posibles emplazamientos comerciales. 

Además, los empresarios pueden comprender mejor qué otros lugares considerarán sus clientes para hacer sus compras. Gracias a la inteligencia de localización, los minoristas pueden recopilar datos para medir las tendencias de los clientes y saber si la demografía de los clientes está creciendo o disminuyendo en una zona determinada. La inteligencia de localización puede ofrecer enfoques basados en datos para el análisis del área comercial en los comercios minoristas. 

Seguimiento de activos 

Los comercios minoristas necesitan una amplia gama de productos para satisfacer las demandas siempre cambiantes de los clientes. El retraso en la entrega de los productos causa una impresión equivocada en los clientes. Esto afecta enormemente a la entrega a los clientes y a la productividad del personal. Los minoristas pueden hacer un seguimiento continuo de la ubicación de su personal de entrega y para la gestión de las cadenas de suministro. Afortunadamente, la inteligencia de la localización también puede servir inmensamente para la verificación de la identidad de los miembros del personal de las tiendas minoristas durante el seguimiento de los activos.

Los minoristas pueden desarrollar aplicaciones de localización personalizadas que pueden instalarse fácilmente en los dispositivos móviles de su personal de reparto. La inteligencia de localización ayuda al seguimiento de los activos y puede resultar beneficiosa para los minoristas de las empresas. Los propietarios de negocios pueden rastrear la ubicación precisa de un ejecutivo de entrega en tiempo real y calcular el tiempo estimado de llegada. De este modo, los minoristas pueden seguir la ubicación de todos los repartidores en un sistema centralizado.

Geocercas virtuales

Los comercios pueden establecer una geocerca virtual para su comercialización. Los propietarios de negocios tienen la responsabilidad de definir un radio determinado alrededor de su tienda en función de su tamaño. Al utilizar esto, los minoristas pueden enviar notificaciones sobre descuentos, ofertas y promociones de productos cuando los clientes entran y salen de la geo-cerca. Los minoristas pueden alertar a sus clientes mediante este enfoque sobre los productos y los descuentos cuando están cerca de la tienda. Además, los minoristas pueden utilizar algoritmos innovadores de aprendizaje automático e inteligencia artificial para mejorar las ventas y las sugerencias de productos. 

Veamos un ejemplo. Supongamos que un cliente quiere comprar café. Hay una gran posibilidad de que el mismo cliente quiera azúcar y leche. La inteligencia de localización se utiliza para mejorar las sugerencias de productos y permite a los minoristas prepararse para las preferencias siempre cambiantes de los clientes.

Análisis de la fuerza de la competencia 

El análisis del mercado de la competencia es obligatorio para los minoristas y propietarios de negocios antes de seleccionar un nuevo emplazamiento comercial. La inteligencia de localización resulta ser un elemento de cambio en este escenario. La inteligencia de localización ayuda a los empresarios a medir la cuota de mercado de la competencia y la perforación en una determinada ubicación geográfica. Además, ayuda a los minoristas a conocer la fidelidad de los clientes hacia ellos y hacia sus competidores. Si sus clientes tienden a visitar otras tiendas, los minoristas pueden aprovechar esta oportunidad de la mejor manera posible y captar a los clientes menos fieles de sus competidores. Un minorista puede utilizar enfoques basados en datos con la ayuda de la inteligencia de localización. 

Invierta hoy en la protección de su negocio a largo plazo

La inteligencia de localización tiene un gran potencial para proteger su negocio contra actos delictivos y actividades fraudulentas a largo plazo. Hoy en día, todo es propenso a la digitalización debido a la rápida evolución de las tecnologías. La utilización de datos y conocimientos de expertos para la toma de decisiones empresariales eficientes y precisas se está convirtiendo en una nueva normalidad que está revolucionando el mundo. 

En el actual entorno competitivo, si quiere mejorar la seguridad de su empresa, ya es hora de invertir en inteligencia de localización de localización. La utilización de datos basados en la localización ayuda a identificar las áreas en las que se está gastando de más o de menos. Además, ayuda a desarrollar una mejor comprensión de las operaciones de su negocio y del área de identidad de las mejoras y del funcionamiento de su tienda. Es mucho más sencillo demostrar su cumplimiento a las partes interesadas y a los clientes con datos cartográficos precisos y versátiles. Empiece a invertir hoy mismo para la protección a largo plazo de sus negocios.