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 […]
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, […]
More and more retail organizations are monetizing their data to increase revenue, boost productivity and optimize costs, enabling effective leveraging of assets, technology tools and external information to generate better results. In the retail sector, data monetization is about making better informed decisions, increasing revenue and reducing costs from access to different types of stored, categorized and accessible data. […]
Through location analytics, it’s possible to identify a place of interest and establish its exact location, helping companies to understand what’s happening around a specific place to make better strategic decisions. Any business sector can leverage location analytics based on points of interest (POI) in a convenient way to characterize and analyze points of sale(POS), bringing special […]
A competitive analysis begins by defining the target and its scope, exploiting different sets of structured and unstructured data available thanks to innovative tools that help to identify and measure competing brands and estimate their sales. With Big Data tools that help analyze large volumes of information like predictive models, location intelligence and mobility data, it’s possible to […]
Customer dwell time is an analysis that should be closely monitored to capitalize on the full potential of each point of sale, indicating greater customer satisfaction. Estimating and improving the average customer dwell time inside physical stores is possible thanks to technological tools such as Big Data, location intelligence analysis and mobility data, which improve strategic decision making by […]
