Unstructured data

The information that is not arranged in a pre-defined manner or does not have a pre-defined data model and is difficult to understand and find patterns in without using techniques such as data mining.

data analytics

knowledge

sector-specific

Unstructured data is an essential knowledge of the following occupations:

ICT information and knowledge manager: ICT information and knowledge managers contribute to the definition of organisational information strategy and apply information and knowledge creation, editing, storage, and distribution policies. They manage the maintenance and evolution of structured and unstructured information. They create digital structures to enable exploitation and optimisation of information and knowledge, manage data analysis and enable business intelligence.
Data analyst: Data analysts import, inspect, clean, transform, validate, model, or interpret collections of data with regard to the business goals of the company. They ensure that the data sources and repositories provide consistent and reliable data. Data analysts use different algorithms and IT tools as demanded by the situation and the current data. They might prepare reports in the form of visualisations such as graphs, charts, and dashboards.
Zoo registrar: Zoo registrars are responsible for the maintenance of a wide variety of  records relating to animals and their care in zoological collections. This includes both historic and current records. They have the responsibiltity to collate records into an organised and recognised records keeping system. In most cases this also involves submitting regular reports to regional or internatonal species information systems and/or as part of managed breeding programmes i.e. zoo registrars are usually responsible for both internal and external management if institutional records . Zoo registrars also often coordinate animal transportation for the zoological collection.

Unstructured data is optional for these occupations. This means knowing this knowledge may be an asset for career advancement if you are in one of these occupations.

ICT disaster recovery analyst: ICT disaster recovery analysts develop, maintain, and implement ICT continuity and disaster recovery strategies and solutions. They support the technical teams, assess the risks, design and develop procedures, documentation and strategies for disaster recovery in order for business functions to continue and recover with a minimal loss of data. They also coordinate the system backups tests and validations.
Software tester: Software testers perform software tests. They may also plan and design them. They may also debug and repair software although this mainly corresponds to designers and developers. They ensure that applications function properly before delivering them to internal and external clients.
Data warehouse designer: Data warehouse designers are responsible for planning, connecting, designing, scheduling, and deploying data warehouse systems. They develop, monitor and maintain ETL processes, reporting applications and data warehouse design.
Data scientist: Data scientists find and interpret rich data sources, manage large amounts of data, merge data sources, ensure consistency of data-sets, and create visualisations to aid in understanding data. They build mathematical models using data, present and communicate data insights and findings to specialists and scientists in their team and if required, to a non-expert audience, and recommend ways to apply the data.
ICT intelligent systems designer: ICT intelligent systems designers apply methods of artificial intelligence in engineering, robotics and computer science to design programs which simulate intelligence including thinking models, cognitive and knowledge-based systems, problem solving, and decision making. They also integrate structured knowledge into computer systems (ontologies, knowledge bases) in order to solve complex problems normally requiring a high level of human expertise or artificial intelligence methods.
ICT usability tester: ICT usability testers ensure compliance with requirements and strive for optimal usability within the software engineering cycle phases (analysis, design, implementation, and deployment). They also work closely with users (analysts) to research for and document user profiles, analyse tasks, workflows, and user scenarios.
Knowledge engineer: Knowledge engineers integrate structured knowledge into computer systems (knowledge bases) in order to solve complex problems normally requiring a high level of human expertise or artificial intelligence methods. They are also responsible for eliciting or extracting knowledge from information sources, maintaining this knowledge, and making it available to the organisation or users. To achieve this, they are aware of knowledge representation and maintenance techniques (rules, frames, semantic nets, ontologies) and use knowledge extraction techniques and tools. They can design and build expert or artificial intelligence systems that use this knowledge.
Database designer: Database designers specify the database’s logical structure, processes, and information flows. They design data models and databases to serve data acquisition.
Data centre operator: Data centre operators maintain computer operations within the data centre. They manage daily activities within the centre to solve problems, maintain the system availability, and evaluate the system’s performance.
Chief data officer: Chief data officers manage companies’ enterprise-wide data administration and data mining functions. They ensure data are used as a strategic business asset at the executive level and implement and support a more collaborative and aligned information management infrastructure for the benefit of the organisation at large.
Computer scientist: Computer scientists conduct research in computer and information science, directed toward greater knowledge and understanding of fundamental aspects of ICT phenomena. They write research reports and proposals. Computer scientists also invent and design new approaches to computing technology, find innovative uses for existing technology and studies and solve complex problems in computing.
ICT business analyst: ICT business analysts are in charge of analysing and designing an organisation’s processes and systems, assessing the business model and its integration with technology. They also identify change needs, assess the impact of the change, capture and document requirements and then ensure that these requirements are delivered whilst supporting the business through the implementation process.

References

1. Unstructured data – ESCO