Big Data: How Many Visits Receives My Store Vs. the Competition?
Analyzing the number of consumers who visit the establishments of any retail company, establishing the days and hours of greatest affluence and comparing it with competing sales points, is possible with Big Data techniques that allow the collection and analysis of large volumes of mobility data. The millions of anonymized data generated every second by cell phones […]
Big Data to Understand Consumer Mobility
Thanks to advanced Big Data techniques that make it possible to collect and analyze large volumes of mobility data, it is possible to establish where consumers live and where they go before visiting a shopping mall or supermarket. Today, business leaders have access to Business Intelligence solutions that are based on millions of anonymized data […]
Internet Searches = Market Trends
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 […]
The Age of Smart Packaging
The use of unique codes that can be scanned with a mobile device, so that consumers know all the product information and companies interact with their customers, are part of the innovations that some packages already have. Currently, consumer interest in products that are manufactured with environmental and social responsibility has grown. More and more customers want […]
Big Data Vs. Traditional Surveys
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 […]