Skip to content

Getting Started with Geospatial Functions

By Hari Subhash | August 26, 2021

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…

How to Optimize Supply Chains for COVID Vaccine Distribution using Geospatial Graphs

By Saif Ahmed | August 10, 2021

Multiple Supply Demand Chain Optimization (MSDO), is a common logistical problem where there are multiple sources and sinks and you’re looking for the most optimal delivery routes.

Data Visualization Forms in Kinetica

By Kaan Karamete | August 6, 2021

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.

Accelerating Geospatial Queries for Supply Chain… from Days with Alteryx, to Seconds on Kinetica

By Simon Ambridge | July 21, 2021

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…

An Introduction to OLAP for Data Analytics

By Hari Subhash | July 14, 2021

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 post…

In the press

Join us at these upcoming events