{"id":3335,"date":"2019-02-12T10:55:07","date_gmt":"2019-02-12T18:55:07","guid":{"rendered":"http:\/\/droneanalyst.com\/?p=3335"},"modified":"2019-02-12T10:55:07","modified_gmt":"2019-02-12T18:55:07","slug":"what-every-cio-needs-to-know-about-commercial-drones","status":"publish","type":"post","link":"https:\/\/droneanalyst.com\/2019\/02\/12\/what-every-cio-needs-to-know-about-commercial-drones\/'","title":{"rendered":"What Every CIO Needs To Know About Commercial Drone Data"},"content":{"rendered":"
This post first appeared on Forbes.com as\u00a0Drones Pose A Unique Big Data Challenge For Business Users<\/em><\/span><\/h5>\n

The public might consider them nuisances, but in the commercial market, drones are valuable data collection devices. Their primary task is to capture, store, and transmit data. So as IT departments consider integrating more drone data into existing enterprise business processes, they face new data governance requirements. As drone technology matures, it is important to know what it means for you as the steward of your firm\u2019s information technology and software.<\/p>\n

Drones present both a big data and an IoT challenge<\/strong><\/p>\n

Up to now, the focus of commercial drone use has been on accurate data collection and visualization\u2014not IT process integration. To be fair, applications have been developed to support verticals like agriculture, construction, energy, mining, and telecom with cloud-based services, but these applications mostly produce and serve up maps, e.g., location maps for managing and servicing company infrastructure and other assets.<\/p>\n

Just as with big data, the challenges of drone data include analysis, curation, search, sharing, storage, transfer, visualization, and information privacy. We are already beginning to see drones efficiently replace static IoT sensors with one device that is in motion and can capture multiple types of data (so not just pictures and video, but also emission gases, radio signals, geodetic data, etc.).<\/p>\n

Is drone data that unique?<\/strong><\/p>\n

Like all IoT devices that are in motion, drones bring a lot of value and at the same time have a lot of challenges. For the most part, drone data is geospatial (or geographic data), imagery, videos, binaries, etc., so falls into the category of non-standard IoT data. However, if you work in IT, you\u2019ll want to understand that this data has some unique requirements. F For example, it requires image recognition analysis and considerable transformation and data parsing to become useful.<\/p>\n

A lot\u2014if not most\u2014of the data collected from drones can be used by geographic information systems (GIS).\u00a0 GIS are mostly used for mapping and analyzing, and they integrate common database operations\u2014such as query and statistical analysis\u2014with visualization and geographic analysis. So, think mapping tools like esri\u2019s ArcGIS<\/a>.<\/p>\n

Data governance implications<\/strong><\/p>\n

When dealing with drone data you may need to expand your current data governance policies because of new risks associated with aerial data itself (like privacy concerns) and the location and operations of the drone (because a drone is legally an aircraft and operates under certain regulations). For example, you may need to revisit policies regarding:<\/p>\n