From the space to your business: geospatial data at the heart of intelligent information management strategies.
“As organizational decisions increasingly become more data-driven, businesses need to assure decisions are made with the most accurate data. That explains why so many organizations have made data collection and analysis a strategic and organizational priority and recognize data as a mission-critical asset to manage.” – Harvard Business Review
Information comes from digital data has become the basis on which governments, industries and organizations base many of their decisions. The proper collection, analysis and usability of timely and relevant data can make the difference between success and failure.
Hence the constant search for new data sources, tools, solutions and experts in order to find new ways to use data, finding new relationships in data, discover new patterns in data.
In this scenario, geo-spatial data have assumed in the wider world of data, progressively greater weight and represent one of the most significant growth areas, together with that of visualization.
Geo-spatial data was traditionally limited to use by military, intelligence agencies, maritime organizations or aeronautics, etc. today, the cloud has led to a democratization of data and the use of geospatial information is spreading, thanks to technological platforms, to almost all markets, impacting the ability of organizations to build new analytical models to extract insight from their information.
If we look at how geospatial data is used in the past and present, the question arises of how the uses of this data will change in the future and how these can build new digital epicentres (digit-gee) for organizations.
Data related to the geospatial dimension are enabling innovative business models and supporting the organization in the progressive construction of an autonomous way and in the intelligent consumption of information.
The digital representation of reality built on geo-spatial data is radically transforming the world in which users consume services and products.
The market is pushing boundaries beyond roads – towards mountains and oceans and including data from drones, sensors, connected cars, cameras and chips.
If we consider human experience, understanding the behaviour and relationships between people, places and things and connecting these localization factors together, it is possible to create or access an “index” to organize oneself through the place and time and to create the correct ones digital representations of the physical world.
What will data visualization and knowledge interaction look like in the future?
Between the exponential growth and the confluence of existing and emerging technologies and the tendency of our species to decode the systems that we imagine in our science fiction, the nebulous forms of future mechanisms are already visible.
There are intersecting features across the sci-fi spectrum that provide clues: Ready Player One’s fully immersive virtual reality; the augmented reality of The Expanse; the most popular mixed reality of Avatar, Passengers, Prometheus, Passengers and The Hunger Games and the oncoming wave of speculations regarding the intelligent interfaces – assistants – of computers.
While on the one hand, these future integrated analytical data systems all share the need to acquire 3D +, multidimensional and multispectral data layers as a basis with layers of geospatial intelligence and based on activities on multiple scales: landscape, building and humans.
Likewise, the co-registration of these data offers interesting opportunities for an analytical and intelligent vision of more solid information and a paradigm of automation of artificial intelligence and machine learning.
Such a system implies considerable relevance to how we protect our digital data infrastructures and the ethical use of such a fusion of live streaming and historical data.
In this context, the possibility of adopting a platform or accessing subsets of geo-spatial data with which to enrich one’s data lakes as well as the ability to integrate them, with the correct regulatory sensitivity is configured as a necessary variable in the design of architectures business and modern user experiences.
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