In order to bring our operations, processes and services under one single brand name, we have decided to transform CentralAmericaData and definitively integrate it into our global brand, PREDIK Data-Driven.
We will continue to provide the same services to our clients in Central America and Mexico, but under the new brand name.
The heat map is one of the most useful and powerful data analysis tools in business intelligence. It provides a visualization feature that presents multiple pieces of data in a way that makes immediate sense by assigning a different size and color.
New geographic information systems (GIS) allow us to see our complex world in a new way. With the right data sets, heat maps can be produced that show how different factors vary from one area to another. In recent years, several organizations have developed dynamic mapping systems that allow users to choose areas, data layers, filters, and presentation features. Read the complete article here
One of the analytical tools that leading companies use to gather knowledge is heat maps. By creating a graphical representation of their data, new insights emerge, providing companies with the information they need to adapt their strategies and maximize their profits.
Heat maps measure the density of data in a given area. By representing density with colors, heat map data easily identifies the areas where information is most prevalent.
This analysis enables real estate companies to make data-driven decisions on issues that define the success of a real estate business, from acquisitions, leasing, investments to marketing campaigns and operational processes.
Location analytics provides an unprecedented vision of the real estate market, analyzing real-time mobility data such as foot traffic, makes it possible to know the updated prices of economic areas and properties of interest, the development of construction processes, to optimize the real estate agents work routes, identify risk areas, etc.
Mobility data analytics are transforming the way commercial strategies are defined in the retail business, and supermarket chains are no exception.
Understanding what consumers think, what they want and what they do is critical for companies in the retail sector. This is where Big Data tools play an important role, as it is possible to measure the affluence at a location and customer behavior, among other aspects.
New data management methodologies now allow retailers to take advantage of even the smallest piece of information to generate valuable insights that help optimize their marketing and customer loyalty strategies.
What promotions do we do to get more customers to the point of sale?
How do we make them stay longer in the store?
How do we improve the customer experience so that they buy more at each visit?
Starting July 2021, you will receive every Thursday, in your mailbox, our CentralAmericaData Express Weekly Newsletter, which will consist of a careful and detailed selection of reports, news and business analysis prepared by our team of Business Intelligence analysts.
Greetings, dear readers of CentralAmericaData.
Since 2008, our goal has been to keep you informed with the main regional market news and business opportunities in the Central American economies.
Through the management of large volumes of data, it is possible to understand the pedestrian mobility of an area or city, and from this, predict the sales potential of a business according to its location and the characteristics of consumers who pass through the surrounding area.
Currently, companies in the retail and mass consumption sector that have opted to develop "data driven" work teams have found in Business Intelligence and Geomarketing solutions a new way to understand the dynamics of their business models.
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.
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.
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.
Estimating transportation costs per person, calculating the floating population that travels through a certain sector and establishing their socioeconomic level, is essential to know exactly what should be the right location for a new station to serve customers who demand mobility services within the cities.
Every day there are more and more work teams and data driven companies that have found in Commercial Intelligence and Geomarketing solutions a possibility to reduce risks in new investments associated with expansion plans and opening of new service points.