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.
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?
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.
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.
Following the implementation of the economic reopening process, in early November in some countries of the region the number of people visiting establishments identified as supermarkets was similar to the figures reported before the pandemic.
In mid-April 2020, the concentration of people in residential areas of cities reached its highest level, a situation explained by the mobility restrictions imposed by the covid-19 outbreak.
Greater preference for private brands, less use of cash and fewer purchases but in higher volumes, are some of the characteristics of current consumer behavior when it comes to demanding mass consumption products.
In this new business scenario, market research companies continue to focus on understanding the new consumption habits of people in all countries in the region.
Merging E-commerce models and face-to-face sales, through the implementation of apps that allow shopping in a physical store without going through the checkout line or selecting a fitting room from a cell phone, are the challenges for companies in the new reality.
In order to adjust to the new demands and challenges that arose from the covid-19 outbreak, at a global level companies are focused on understanding the trends that will predominate among consumers in the short and medium term.
Although in Central America the period of mandatory confinement has been exceeded, it is still a priority for consumers in the region to spend their free time in their homes and to devote themselves to household cleaning and home cooking.
It has been six months since the first cases of covid-19 were detected in the region. When the outbreaks began, governments chose to subject consumers to strict household quarantines, a measure that affected not only the economy but also people's behavior in the medium term.
The transformation of purchasing habits caused by the boom in e-commerce at a regional level, forced companies to accelerate the process of implementing their plans, because now they must enhance their digital strategies and change their business culture.
Given the need to understand customer behavior in the digital environment, together with the urgency for companies to promote remote work, an ideal scenario has been created for the demand for cloud services to increase exponentially.
The spread of covid-19 caused a considerable change in people's habits. Remote work has become a daily routine among companies in the region, which have had to adapt to the restrictions imposed since March, when the first infections were reported.
As part of the gradual reopening of commercial activities, an increase in the number of people who have moved to locations identified as supermarkets or pharmacies was reported in Central American countries during August.
Due to the quarantines decreed by the covid-19 outbreak, in mid-April the concentration of people in residential areas of cities reached its highest level, but in recent months this trend has been reversed and consumers have visited more stores. During August, the process of returning to supermarkets accelerated in most markets.
The abrupt change in consumer habits forced companies to digitalize their operations and sales, but the challenges do not stop there, as companies will have to implement effective logistics systems to reach their customers.