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.
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.
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.
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.
The large volumes of information that are generated at every moment in the digital environment allow transforming data into maps, tools that serve for the development of Business Intelligence solutions that are used by business leaders in all sectors.
After associating spatial or geographic information with phenomena that decision makers are interested in knowing and analyzing, it is possible to transform the data into digital maps, tools that allow companies to understand the environment of the locations of a commercial establishment, optimize their commercial routes, among other uses.
In order to obtain truthful and accurate information free of any bias, it is preferred to analyze consumers through their online behavior, because when conducting traditional surveys, people tend to lie to give a good impression.
Although the most recommended is to analyze large volumes of data that are generated by consumers when interacting in the digital environment, surveys can work under specific conditions.
Thanks to the digitalization of writing and the rise of Internet searches and interactions, words have become very valuable inputs for statistical models and algorithms that allow inferring and reaching very precise conclusions about consumer behavior, among other uses.
Today, language has become the subject of big data analysis. Since the links used by Google are composed of words and the searches performed on that page are also composed of words, the study of text as data is becoming increasingly important.
Analyzing satellite photos to estimate the production capacity of an area or evaluating images of a product being sold on the streets to calculate its market-share are some of the business solutions that arise from the transformation of images into data.
Traditionally, when teachers or businessmen wanted data, they requested surveys. Data would be ordered, in the form of numbers or boxes checked on questionnaires.
Does it make sense to keep doing surveys to evaluate, for example, the ranking of a brand, when all the real, honest, and unbiased information can be inferred from people's behavior on the Internet?
"... Traditionally, when teachers or business people needed data, they commissioned surveys. They obtained data in an orderly fashion, either in figures or in boxes marked on questionnaires.
To effectively apply data analysis tools on a large scale, the proper structuring of the information is essential, otherwise the cost that the company will have to incur to reverse the errors will be very high.
Data governance, which encompasses the set of processes, functions, policies, standards and measurements that ensure the effective and efficient use of information, becomes relevant to enterprises, which increasingly benefit from the use of machine learning tools and statistical analysis.
Technology and tools for analyzing large volumes of information used by large corporations to make business decisions are also available to businessmen and small companies.
Finding the best location for a new sales point, finding the areas where potential customers move and analyzing their purchasing power and their behavior as consumers are just some of the things that can be done today with the help of new technologies.
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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