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.
In order for retailers to stay ahead of digital competition, they must overcome cost and flexibility disadvantages; it’s necessary to have real-time insight into what is happening inside and outside the point of sale. Retailers must begin to take immediate action on unforeseen events at their physical points of sale, such as lack of inventory, shelf […]
Foot traffic analysis has changed the way commercial strategies are defined in the fast food franchise business.
Customer behavior analytics, is important to understand how users interact with a brand, now it can be done in a more objective and real way, using Big Data management techniques. Customer behavioral analytics is the process of collecting and analyzing data that, together with technology tools such as Big Data, machine learning and location intelligence, help […]
Through data analytics it’s possible to improve vehicle performance, reduce costs, improve processes, establish strategies, optimize routes and times, and foresee and identify problems, among others. Transportation analytics takes a variety of data ecosystems, helping industry leaders to use advanced analytical techniques such as machine learning, Big Data and geospatial data to optimize business strategies in the sector. Predictive analytics […]
Foot traffic data consists of spatial data (GIS), and is at the core of building intelligent strategies, transportation routes, processes and decision making in both public and private sectors. What is it? Foot traffic data associates people’s movements with physical locations, and can be collected in different ways, such as WiFi signals, GPS from mobile […]
Big data analytics is an effective solution for identifying behavioral patterns and establishing strategies to help detect and prevent fraud in various business sectors. Most companies are not aware of the information they have and how to leverage, analyze and understand it, which can result in the loss of a large amount of potentially useful […]
Unlike historical analytics, predictive supply chain analytics allows you to anticipate and prepare for the future, taking out the conjectures planning processes and improving decision making. Predictive supply chain analytics use advanced technological tools such as machine learning, geomarketing, data mining that enables organizations to identify hidden patterns, understand market trends, identify demand, establish pricing strategies, achieve a high return on investment, […]
