Location choice has become a critical point in the success or failure of any industry, as it has a great impact on the company's overall risk, as well as on transportation, logistics, salaries, rents and raw materials costs, among others.
Tuesday, July 27, 2021
Where to locate industrial facilities is one of the most important strategic decisions that companies must make. Identifying the optimal location is a spatial problem that requires the comparison of attributes of different locations that have the best combination of the desired variables and qualities.
Geographic Information Systems (GIS) and Big data are ideal for this type of spatial analysis, as they allow capturing, storing, querying and analyzing geographic information. The power of this tool allows a decision-maker to simultaneously analyze geographic space and data linked to a specific location. This feature makes GIS an indispensable tool for solving complex spatial problems, such as industrial location.
It is used to find the geographical area that meets the basic requirements for the construction and development of industry with minimum operating costs.
Micro-Location Analysis
It is used to find out the specific macro-location site that meets the technical, infrastructure and work process requirements.
Site Selection Analysis
It generates alternatives by applying arithmetic and logical operations in the process of analyzing geographic data, based on the search for potential locations located near means of transportation, roads and ports.
In order to identify the optimal place to establish a new business, for example, an educational center, it's vital to resort to geolocation analytics and mobility analysis.
Through location intelligence solutions, it's possible to determine one or more areas where you want to establish an educational center, while mobility analysis and behavioral patterns can identify the factors that can maximize its success.
More and more retail organizations are monetizing their data to increase revenue, boost productivity and optimize costs, enabling effective leveraging of assets, technology tools and external information to generate better results.
In the retail sector, data monetization is about making better informed decisions, increasing revenue and reducing costs from access to different types of stored, categorized and accessible data.
Geolocation systems and Big Data turn data into information that farmers and land managers can use to make more informed and timely decisions to increase productivity.
Sensors located in fields, tractors and on satellites high above farms are constantly collecting data.
Geolocation systems and Big Data are able to convert this data into information that agricultural companies can use to make more informed and timely decisions, increasing productivity, allowing to collect information on soil and plant needs to apply treatments that increase agricultural production, managing costly resources such as fertilizers, pesticides and herbicides.
What makes Big Data so useful for many business sectors is the fact that it provides answers to many questions unknown even to the stakeholders themselves. In other words, it provides a more accurate point of reference.
Big data is a term that refers to such large, fast and complex amounts of information that it is difficult or nearly impossible to process them with traditional methods.
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