Predictive Analytics in Manufacturing: 10 Use Cases+Benefits & Challenges
Combining the immense potential of Big Data with Artificial Intelligence and Machine Learning, Predictive Models offer unparalleled insights into the mechanics of various processes involving a manufacturing company. Manufacturing companies face a range of complex challenges in today’s business environment. These include disruptions like geopolitical crises and raw material shortages, which can impact global supply […]
What is Geo-Construction?
Geospatial construction, or “geo-construction”, uses data from a wide range of focal points, such as location, population and environment, to influence the design and construction of any infrastructure in order to save, time, money and reduce waste. GIS (Geographic Information Systems) improve the effectiveness of construction planning and design by integrating location information into a […]
Geospatial Data for Site Selection for New Outlets
Identifying the right location to establish a business is a fundamental part of the basic strategy of any company in every industry. Selecting the exact right area and location is crucial not only for profitability, but also to help determine whether or not the business will be successful. Iterative analysis of transaction, facility and asset […]
GIS and Big Data based industrial site selection
Where to locate industrial facilities is one of the most important strategic decisions that companies must make. Identifying the optimal location is a spatial problem that requires the comparison of attributes of different locations that have the best combination of the desired variables and qualities. Geographic Information Systems (GIS) and Big data are ideal for […]
Big Data and the Last Mile Delivery
The last mile is the journey of a product from the warehouse shelf to the back of a truck and the customer’s door, thus being the final step in the operational process, when the package finally arrives at the consumer’s door. In addition to being one of the keys to customer satisfaction, last mile delivery […]
Predictive Models Applied to the Retail Sector
The use of big data and predictive models has become one of the greatest successes for the sector, thanks to these, it has been possible to take proactive measures based on real-time data and predict future trends. Using the right models and calculating historical data, it is possible to predict customer behavior, sales growth, changing consumer […]
What Business Questions Does Geospatial Data Answer?
This data can be seen as pieces of a puzzle that, separately, do not provide much insight into an overall picture or solution. But when analyzed and visualized with data from any sector, valuable patterns, relationships and interactions emerge that can lead to better decision making and business innovations. Geospatial data is any type of […]
Geospatial Data: Main Benefits and Applications for Businesses
Geospatial data or geodata is essential in business analytics, providing a multi-dimensional perspective to understand and engage with the world around us. Geospatial data consists of information with a geographic location component, describing objects, events, or phenomena in a specific location on Earth. In this article we will cover the following topics: Understanding the main […]
How to Understand Consumers Using Big Data Techniques
Consumers today have access to information anytime, anywhere, including what, where, and when to buy, how much to pay, among other things. This makes it increasingly important to use consumer-focused data analytics to predict how they will behave when interacting with brands. The goal of consumer analytics is to create a single, accurate customer view to […]
Geospatial Data Applied to the Retail Sector
Geolocation intelligence is accurate contextual information about the location and movement of people around the world. The potential that this type of data has in the context of business decision making in the retail sector is invaluable. It includes demographic information about the retail outlets themselves, nearby businesses, competitor insights, customers, suppliers, among others. With this […]