Through solutions based on the analysis of satellite photos and machine learning models, it is possible to optimize the process of identifying the best land uses and analyze the areas where a construction project will be developed with a high level of detail, in order to find the optimal location and minimize investment risks.
The accelerated growth in the availability of data and the solutions and technologies being developed to take advantage of it is directly impacting all industries, and the real estate and construction industry is no exception.
Using today's technology, it is possible to know and accurately monitor consumer mobility, identify the places they visit, how often they do so, at what times and on what days, and transform this mobility and pedestrian flow data into solutions for optimizing commercial and marketing strategies.
People mobility is a concept that covers much more than just movement. It involves understanding where they travel, from where they come from and to where they go, what places they visit, at what times of the day and on what days of the week. There are now multiple ways to calculate it, from records generated on Internet sites to information provided by cell phones. The latter has proven to be the best option, as most people now have a mobile device.
Through information solutions based on the use of satellite photos, the application of classification models and the implementation of machine learning algorithms, it is possible to optimize the management of large plantations and minimize the risks faced by crops that affect profitability per hectare planted.
The growing availability of data that exists today is leading companies to seek new ways and tools to take advantage of this huge wave of information that is being generated in different business sectors.
Determining which professional disciplines people prefer to study and identifying whether they are interested in diplomas, certifications, bachelor's degrees, master's degrees or long term courses, are goals that can be achieved through the application of innovative methodologies based on the analysis of large volumes of data.
Although the process of migration to online education had already been progressing for several years, in recent months and as a result of changes in people's habits, the demand for distance training services has grown exponentially and, as a result, Internet searches for study programs have also increased.
Using big data management techniques, it is possible to know, with greater precision than with traditional methods, the socio-demographic characteristics, tastes, preferences and interests of consumers living in a specific area of a city or of groups of people who visit particular stores.
Nowadays, with the large volumes of data that exist, it is possible to examine absolute and relative numbers of potential customers of a shopping center or business that are in any other location.
Generating a trusting conversation with clients and identifying and presenting your own success stories is of utmost importance so that at the quotation stage a price is defined based on the value provided by the products and services.
According to Ariel Banos, founder of Fijaciondeprecios.com, exploring the method of defining prices based on the value for the client is a recommendable resource for those who hesitate about how much to charge their clients.
By collecting and analyzing the information that Internet search engines store on the queries that consumers make, it is possible to know with a high degree of precision what their interests are and to look for patterns or trends that help to measure performance indicators for a specific topic.
Through systems that provide real-time monitoring of changes in consumer interests and preferences in different countries, it is possible to project short- and long-term demand trends for the different products, services, sectors and markets operating in the regions.
With the technologies available it is possible to use satellite photos to detect types of surfaces and roofs, objects, land use and variance in farmland, and then analyze the results and transform them into useful data for business decision making.
In the past, it was possible to establish whether an area was industrial, commercial, residential or agricultural by analyzing aerial images, but today, with the use of high-resolution satellite images, more information can be obtained.
Accurately calculating the vehicle fleet or estimating the number of specialized machines and tractors used in certain areas is useful information for companies dedicated to the sale of accessories and spare parts to make the right decisions.
In order to minimize the risk of starting to commercialize spare parts and accessories that use specialized machines, tractors or vehicles, or simply to calculate potential sales in certain areas, countries or regions, companies rely on market studies that in some cases are elaborated with Big Data techniques.
Honda Center, a service shop located in Guatemala City's Zone 10, has a potential market of 93 thousand consumers between the ages of 25 and 60 years old, of which 66% are interested in vehicle-related topics, within a 15-minute drive.
Using the Geomarketing solutions we have developed for our clients, CentralAmericaData's Business Intelligence team analyzed the environment of some of the main automotive repair shop locations operating in Central American countries. Below is an excerpt of the study's findings.
The analysis of data and large volumes of images, combined with the implementation of innovative methodologies, allows companies to size up how many of their products could be marketed in outlets classified as informal.
More and more companies need to identify and estimate, with precision, what portion of their market they may not be serving. At the same time, they need to gauge the likelihood that their products are being sold in places that are classified as informal. In many cases, the actual size of the parallel market that these types of establishments make up is not always on the radar of manufacturing and distribution companies.
Some of the technological tools that will be used in the coming years to increase agricultural productivity include the use of devices connected to the Internet that can create self-regulating microclimates in greenhouses and crop monitoring through aerial images.
Analyzing the offerings of a supermarket, department store or convenience store and examining what type of consumers frequent those establishments is key to establishing which chains a company's products should be present in to increase their profitability.
By analyzing large volumes of data, it is possible to combine information on the products that commercial establishments sell with details of the types of consumers that are attracted to the different chains.
Defining the design of a shopping center, determining the mix of store types and the optimal size of stores to maximize the benefits of commercial areas, are objectives that can be achieved through the proper analysis of large volumes of data.
The volumes of data being generated in the digital environment every second enables business leaders to make well-informed decisions that are based on the analysis of empirical evidence.
Determining if the highest possible profitability is being obtained at each point of sale and if the establishments with the greatest billing potential are being reached, is part of what can be solved with geomarketing solutions.
Through Big Data management techniques, it is possible to collect, validate and analyze large volumes of information for all types of points of sale, such as convenience stores or grocery stores that operate in Central American countries.
Recognized Brazilian company of backhoe loaders, telescopic, articulated and other types of cranes looking for companies interested in representing the brand and distributing their machinery in Central America and Mexico. The company manufactures and sells telescopic,...
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