These two industries will fundamentally change in 2018
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There is no doubt that data will sooner or later play a key role for business processes and business models in all industries. But in which one will the topics big data and data analysis become particularly relevant in the course of 2018?
Manufacturing, fintech and assurance companies can be counted as sectors being already much exposed to management of data. But also service companies and retail, focussing on social media data, and supply companies will play a role in the future. There are many industries working on big data scenarios, to very different extents, as the following ISG-overview shows:
Healthcare and agriculture are the next major big data cases
In 2018, two particular sectors will experience a major impact of big data-related topics: the healthcare and the agriculture industry.
The reason for a more intense confrontation with big data analytics in healthcare are simplified legal requirements in Europe, particularly, the regulations on personal data processing.
The eIDAS-regulation and the General EU Data Protection Regulation as well as other data protection acts enable users to process personal data as soon as the patient declared his consent, leading to an increase of new technologies and services.
These innovations are not only useful for diagnosis and therapy, but can also provide the basis of very effective ways of generating meta data.
Also in the agriculture business, several big data strings converge. Precision Farming constitutes a good basis for digitialzation already since the late 80ies, despite the often-rattling development of technologies in that field.
Meanwhile, the precision farming-technologies have considerably gained momentum, and are now applied from the ISOBUS systems in vehicles and the GPS-controlled agricultural machines to satellite image analysis for soils and plants.
Thus, many diverse, more or less structured data is already generated on a daily basis only needing an in-depth evaluation to be transformed into performative big data.
Furthermore, there are new data sources such as footage generated by drones or chips on livestock that can be included into the analyses by farmers. 2018 is going to be interesting, because new technologies will be widely established and at the same time take massive advantage of the standardization efforts of the past years. In this process, initiatives related to data hubs for agricultural data are in a particularly interesting position.
The coming year will offer interesting new fields of activities in relation to data-driven business processes and models in sectors that so far haven’t been in the direct focus of big data analytics. Industrial users of these technologies may need more inspiration from outside; ICT-providers however have rather special expertise and well-working partnerships with the providers of the technology in question.
This article is partly based on an article by the ISG Research Team.
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