Due to its specific challenges and needs, the defense and security sector is leading the way in terms of innovation, particularly in data exploitation: protection of sensitive sites and monitoring of computer networks, predictive maintenance or detection of abnormal behavior are all families of use cases in this sector.
Today, data is the new face of information and its control. The impact of data is still as powerful as ever for this sector. It allows, more than ever, to monitor, secure and anticipate.
Sovereignty, data volume, data protection and security are obviously major issues for defense and security organizations. To get the most value out of this data, they need to rely on reliable and accessible data, and thus implement organizations and tools that ensure the accuracy of the information used.
Information, and now data, is an indispensable tool for the defense and security sector. However, managing data from multiple sources also creates major challenges:
The IT and data managers of the main defense and security actors (industrialists, ministries and public organizations...) must guarantee the protection and security of data. They must also adapt their strategies and objectives to these security constraints. Also, in the case of data, the security of information is crucial.
Data sovereignty is therefore a key issue in defense data processing.
This has two aspects:
The choice of solutions used to exploit this data is therefore very important. Sovereign solutions are preferred, which guarantee an excellent technological level while ensuring confidence in their use.
The volume of data generated and absorbed by the defense industry continues to grow. This data is more and more heterogeneous with different formats. In addition, the growth of unstructured data also complicates the processing of this tsunami of data. According to an IDC study, by 2025, unstructured data will represent 80% of all data*.
This mass data gives rise to new challenges:
Data profiles are rare and extremely sought after by companies. A recent study* estimates that 35% of companies are struggling to recruit data experts to meet their needs. At the same time, the data quality phase can be very time consuming - between 45% and 60%* of a data scientist's time.
This is one of the key objectives published by the Ministry of the Army's data roadmap with action #12, which aims to "identify skill requirements and their distribution, continue the description of job types and role types, and determine human resource requirements."
"For the past four years, the Ministry has been developing its job repository by integrating new professions: data scientist, data analyst, data engineer and data manager. Work is underway to integrate the new emerging needs related to artificial intelligence, Big Data and cloud computing," says the Ministry of the Army's data roadmap.
To meet these strategic challenges specific to the defense sector, it is necessary to take into account some basic criteria in the data approach.
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