Mobility analysis and geomarketing techniques have become key factors in the real estate investment process.
In the process of searching and selecting areas for the acquisition of a property for real estate development, investors focus on finding those with the highest expected return on investment. This process, which until now was done using traditional financial and feasibility studies, has now become incredibly simple with mobility analytics and location intelligence based on Big Data.
Pharmaceutical companies need to apply location intelligence techniques and foot traffic analytics to identify consumer mobility patterns, in order to maximize sales and generate more efficient expansion models.
The correlation between foot traffic, sales, and the success of pharmacy franchises have been studied and proven, so the development of this type of analysis has become a priority in the site selection process and expansion modeling.
Supermarkets can apply location intelligence techniques and footfall analytics to understand consumer mobility patterns, generate efficient site selection strategies, understand the performance of their stores, and estimate competitor turnover.
The correlation between foot traffic visitation, sales, and the success of retail supermarkets have been studied and proven, so the development of this type of analysis has become a priority in the site selection process and expansion modeling.
Heat maps are used by retail giants to understand pedestrian and vehicular mobility patterns and thereby optimize their strategies for opening new points of sale.
At PREDIK Data-Drivenwe support global corporations in implementing a variety of expansion planning solutions.
Organizations rely on the effective use of big data and geomarketing techniques as the backbone of all their processes and decision making, reducing the risks of new investments associated with expansion plans and new store openings.
At PREDIK Data-Driven we support global corporations to optimize their expansion strategies with 100% data-driven methodologies.
Pet shop owners need to apply location intelligence techniques and foot traffic analytics to identify consumer mobility patterns, in order to maximize sales and generate more efficient expansion models.
The correlation between foot traffic, sales, and the success of pet shops franchises have been studied and proven, so the development of this type of analysis has become a priority in the site selection process and expansion modeling.
Location intelligence and foot traffic analytics are transforming the way retail strategies are defined, and department stores are no exception.
The correlation between foot traffic, sales, and the success of department stores have been studied and proven, so the development of this type of analysis has become a priority in the site selection process and expansion modeling.
Identifying mobility patterns and classifying consumers within a point of sale or areas of interest helps large retail supermarkets measure foot traffic in and out of their stores while understanding the behavioral patterns of their consumers.
The correlation between foot traffic, visits, sales, and the success of retail supermarkets has been studied and proven, so the development of this type of analysis has become a priority in the site selection process and expansion modeling.
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.
In the competitive retail market, in-store analytics helps retailers to better monitor and understand their customers while providing valuable information on the actual point-of-sale performance.
This type of analytics has become an indispensable part of the operational strategy of brick & mortar retail stores. Its benefits can also be reflected in other areas, such as marketing, merchandising, and fraud prevention.
Understanding mobility and identifying points of interest help large retail office products suppliers to measure foot traffic in and out of their stores and to better comprehend the behavioral patterns of consumers.
The correlation between foot traffic, visits, sales, and the success of retail office products suppliers has been studied and proven, so the development of this type of analysis has become a priority in the site selection process and expansion modeling.
POI analytics through Big Data techniques allows companies to understand an area of interest and thereby implement strategies, expansion models, and solutions within any business sector.
Information about a specific location or a set of similar locations can help companies make better decisions. Combined with additional contextual parameters such as human mobility, sociology, dynamics of an area, etc., POI data can be used to build meaningful information structures that enable more robust analysis and planning for expansion models.
Location intelligence and footfall analytics can be valuable tools for wholesale distributors to maximize their revenue, optimize their processes and choose the best distribution routes for their pickup and last-mile delivery processes.
The correlation between foot traffic patterns, visitation, sales, and the success of wholesale food distribution companies has been studied and proven, so the development of this type of analysis has become a priority in the process of site selection, supply chain process optimization, and expansion modeling.
Retail home improvement franchises need to apply location intelligence techniques and foot traffic analytics to identify consumer mobility patterns, in order to maximize sales and generate more efficient expansion models.
The correlation between foot traffic, visits, sales, and the success of hardware home improvement franchises have been studied and proven, so the development of this type of analysis has become a priority in the site selection process and expansion modeling.