Earlier this month, our team shared 4 Simple Ways to Map Vehicle Location Data with OmniSci Free. We're following up to show you how we accessed and loaded OpenStreetMap (OSM) data in OmniSci Free, synthesized those streets with vehicle collisions, and delivered meaningful spatial insights.

Humans have always wanted to know what will happen next. In this post, we’ll explore how you can use the open-source forecasting procedure Facebook Prophet, OmniSci, and a historic time-series dataset to give a view into the future.

We’re thrilled to announce the launch of a free tier to our enterprise product, OmniSci Free. OmniSci Free allows users to leverage the full power of the OmniSci Analytics Platform, including OmniSciDB SQL Database, OmniSci Render Engine, OmniSci Immerse, and the OmniSci Data Science Toolkit.

Download the updated OmniSci for Mac Preview, along with our our new Data Science installer!

With an abundance of alternative providers, customer satisfaction is the most effective means of reducing customer churn in telecom. But how do we predict customer churn? What tools can help analysts determine the root cause of churn? And how do we stop it in its tracks?

TM Forum led a webinar in which participants from Verizon and OmniSci reviewed what Verizon has been doing behind the scenes before and during the pandemic to keep its networks up and running and to respond to significant, unexpected changes in traffic flows and volumes.

Learn the benefits of using OmniSci to ingest real-time satellite location data and how we can utilize the loading, visualization, and querying aspects of the product to find insights.

In this article, we'll demonstrate the ease of using Jupyter notebooks with open source Python libraries for visual charts to interact with data in OmniSci Database on a Mac.