GO Analysis Reduces the Time to Insight
You’ve probably seen some of our blog posts in 2019, ranging from the destruction caused by Hurricane Dorian to new toll roads opening in Texas. You may have also asked: How can I conduct similar research myself?
Now you can, with the “Analysis” button in the top right corner of your GO account. In our recent 2019 recap, we promised to help our customers access insights faster, putting our tools directly in your hands to access our API and answer your questions more rapidly.
Our GO Analysis tool, publicly launched during the first week of January, lets customers access structured data directly from GO and create additional features unlocking a new depth of visualization and analysis.
How you Benefit
Our customers told us they want to be able to see what is happening in the world as it occurs. We responded with GO Analysis, leveraging the open-source Jupyter Notebook ecosystem combined with Orbital Insight’s APIs, allowing customers to dramatically reduce the time to insight.
By using Jupyter, GO Analysis allows geospatial analysts to manipulate and visualize data in their existing workflow while giving back to the open-source community. Those already versed in Python and Jupyter Notebooks benefit from our tutorials and templated reports out of the gate. But you don’t have to know Python or be a machine learning expert to benefit from GO Analysis—Orbital Insight’s professional services have helped clients extract ongoing value from objective, transparent, and timely geospatial analytics, answering questions such as:
- How are ticket sales to Star Wars Galaxy’s Edge?
- What are the patterns in human activity in war-torn regions like Yemen?
- Are my petrochemical manufacturing competitors experiencing outages?
Reduced Time to Insight
Orbital Insight is unique in that we are a “One-Stop-Shop” for multiple geospatial data sources (e.g. satellite, aerial, AIS, cell phone geolocation, connected devices), data science, and AI. The amount of time it would take to evaluate, procure, extract features, and normalize is prohibitively expensive and we firmly believe multiple data sources yield greater insight than a single dataset.
GO Analysis makes data munging the cornerstone of multi-source geospatial analytics, allowing you to combine project results from Orbital Insight as well as your own data. By hitting the GO API across multiple projects and analyzing the results in one place, customers substantially reduce their time to insight. Consider a buildup in Tesla Model 3’s at a distribution center. Rather than just looking at the number of delivery-ready cars counted by satellite imagery analysis, you can now layer anonymized cell phone geolocation pings to indicate production and overtime trends. Combining this gives a sense of the number of cars produced per worker. You can even add your own data such as VIN tracking.
Accessing Structured Data
We’ve lifted the hood on GO so you can do more data manipulation and visualization downstream that you couldn’t do otherwise. GO Analysis introduces a new set of tools to access structured geospatial data through the GO API and feature creation. GO Analysis gives customers the power to create features, such as adding metadata like public holiday information, day of week (useful for overtime analysis), and data science algorithms to automatically detect anomalies.
Additional Geospatial Analysis of Your Data
For our customers seeking spatial context, GO Analysis provides a new depth of geospatial analysis, delivering geometries of land use across country-sized AOIs to the individual points of detected cars, trucks, aircraft, etc.
In-line with our multi-source philosophy, customers now have the ability to combine multiple projects and derive greater insight with spatial analyses with intersections and unions.
Customers can now take car detections generated by the GO car detection algorithm and intersect results with road networks in OSM, or even with roads polygon results from the GO land use algorithm. They can aggregate land use from multiple projects to detect the changes across thousands of structures, roads, fields, and bodies of water to rapidly detect change.
Above: GO Analysis enables simple two-period landuse change detection, the above example showing infrastructure change before and after Hurricane Dorian. Buildings colored darker blue are most likely intact, while those in red are more likely to have been destroyed.New Visualizations
Orbital Insight GO’s time series provides historical, current, and ongoing monitoring of activity levels. We took the best of GO’s temporal frequency capabilities and added new visualization techniques available through GO Analysis.
Heatmapping makes granular AOI analysis possible, expanding the set of questions answered by Orbital Insight GO:
Previous: Are people going to Star Wars Galaxy’s Edge?
Now Possible: What are the visitation behaviors at Star Wars Galaxy’s Edge compared to those of other Disney attractions?
Dashboards and Reporting
In addition to the new depth of analysis and time savings, GO Analysis is a powerful tool for sharing insights. By creating dashboards and reports from our library of templates, customers can automatically update and present their results to management and clients.
Analysts can share their research with portfolio managers. Commercial Real Estate brokers can directly market properties to clients. GO Analysis is a tool designed for rapid insight generation and dissemination.
Conclusion
Our customers asked for a reduced time to insight and feedback from our 2019 beta program showed that Orbital Insight clients love manipulating and visualizing GO’s structured data with more depth and functionality.
The latest version of Orbital Insight GO has the templates featured in this blog post. All you need to do is hit the Analysis button!
Would you like to gain rapid insight into global events?
Contact us to demo the full set of geospatial analysis and visualization tools now available to Orbital Insight customers.
