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Go to:Geospatial data is any data that has a geographic component to it. A geographic component simply implies a location (or a set of locations) that can take the form of simple points on a map with latitude and longitude coordinates or more complex shapes that describe lines and boundaries, or even elevation. Examples could include…
With Kaan Karamete, Matt Brown, Kyle Sutton, and Chad Meley About The Project We’ve all heard of the Traveling Salesperson Problem, it is one of the most common Graph problems and has numerous implementations. In the practice, however, problems are much more complicated. In the world of logistics, a more realistic setup is typically the…
B. Kaan Karamete, PhD, is Senior Director of Engineering for Geospatial, Graph, and Visualization at Kinetica In this tech note, we’ll examine various data visualizations in Kinetica. In general, a typical data set might have both spatial and temporal components, called spatio-temporal. The nature of the spatial data variation is usually continuous, i.e., no abrupt…
Recently, a top 3 global retailer was able to reduce run times for a strategic analytic application from days on Alteryx to just 22 seconds using Kinetica. The retailer sought to optimize supply chain logistics and operations, with the aim of identifying faster and more profitable delivery routing, and to identify optimal store locations. Kinetica…
Data is a critical part of modern businesses. Almost all of our interactions with businesses – online or otherwise- end up touching a business decision system that is based on data. These decisions affect the quality and type of services that are offered to us and have significant implications for the bottom line. This blog…
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