GIS Weekly Review : February 2, 2017

As I wrote last year, 80 percent of all business data contains a location component, yet most organizations are not using it or don’t know how. Boundless’ open, cloud-based and highly scalable platform, allows developers to deploy an entire scalable GIS infrastructure with just one line of code, and analysts can visualize all of their geospatial data in real time without any licensing fees.

This development solution addresses the increasing demand for an alternative to proprietary geospatial solutions (Esri and Hexagon, for example). Boundless offers greater functionality than Esri’s ArcGIS at 10 percent of the cost.

Boundless CEO Andy Dearing spoke to GISCafe Voice about the company’s perspective for 2017.

How do you see businesses approaching and managing their geospatial data in 2017?

As organizations today have access to more data than ever before, and it only continues to grow at an astounding rate, the problem now is not gaining access to the data, it’s the ability to scale and process it in order to help solve business problems. Location-based data is no exception.

Additionally, open source technologies will continue to proliferate in modern IT enterprises, as they have become an essential component for gathering, organizing, and connecting the dots between vast amounts of the spatial data at our fingertips.

How does geospatial data impact the new technological advancements that are beginning to take shape?

The geospatial industry is propelling the science behind today’s technology trends – namely, integrating IoT data, mapping drone information, and analyzing imagery from small sats – more rapidly than ever before. We are only beginning to really understand how these new sources of information can help us make better decisions.

With the emergence of machine learning concepts, geoprocessing techniques can be applied to make sense of data streams and “big data” architectures. This means that organizations are not only understanding the “what” behind location content, but the “why” as well. The ability to gain deeper insights into change detection, trend analysis, and predictive modeling will take hold in these open, elastic infrastructures.

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