How does Data Analytics improve Outdoor Advertising?

Location intelligence and mobility analytics allow companies to create Out-of-Home advertising strategies focused 100% on the tastes and preferences of the people who pass through each point. In outdoor advertising (OOH), knowing in depth the consumers who pass through the point where the advertising will be exposed is crucial to maximizing as much as possible […]

Retail Footfall analytics

Footfall analytics makes critical operational and strategic decisions for any business, improving conversion rates, maximizing sales, optimizing costs, and increasing brand positioning. Thanks to mobility data, retailers can gain deeper insight into their business by analyzing changes in sales volumes and the consequences of fluctuations in footfall levels inside and outside stores. At the same […]

Retail of the Future: What’s Next for Physical Stores?

The COVID-19 pandemic has exponentially accelerated the growth of e-commerce, but physical stores are still far from disappearing. Today, retail businesses have accelerated their digitalization strategies by evolving omnichannel processes, trying to maintain their efficiency and generate added value without affecting their operations, as consumers’ needs to interact virtually with the different points of sale have increased. […]

How to choose a new business location with Big Data

In order to identify the optimal place to establish a new business, for example, an educational center, it’s vital to resort to geolocation analytics and mobility analysis. Through location intelligence solutions, it’s possible to determine one or more areas where you want to establish an educational center, while mobility analysis and behavioral patterns can identify the factors that can […]

Foot traffic Analytics: Top Clothing Stores, Atlanta

The clothing store market is one of the most popular in the USA, with Big data analytics and location intelligence techniques we made an brief exploratory analysis in Atlanta city. Case Study: Analysis of Apparel Stores in Atlanta, USA Using location intelligence techniques it was possible to identify all the stores distributed in the city, the […]

Location Analytics in the Real Estate Market

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.

Foot Traffic Data Business Benefits

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 for Fraud Detection (Guide For All Industries)

Big data analytics is an effective solution for identifying behavioral patterns and establishing strategies to help detect and prevent fraud in various business sectors. Fraudulent activities such as e-commerce scams, cybersecurity threats, identity theft, forged bank checks, money laundering, tax evasion, fraudulent insurance claims, and financing fraud pose significant risks to users and companies. These […]

Supply Chains Predictive Analytic benefits

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, […]

Retail: Benefits of Data Monetization

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. […]