The techniques and existing systems used for structuring data elements and showing relationships between them, as well as methods for interpreting the data structures and relationships.
Skill reusability level
Relationships with occupations
Data models is an essential knowledge of the following occupations:
Software analyst: Software analysts elicit and prioritise user requirements, produce and document software specifications, test their application, and review them during software development. They act as the interface between the software users and the software development team.
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.
Big data archive librarian: Big data archive librarians classify, catalogue and maintain libraries of digital media. They also evaluate and comply with metadata standards for digital content and update obsolete data and legacy systems.
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.
Database administrator: Database administrators test, implement and administer computer databases. They use their expertise in database management systems to plan, coordinate and implement security measures to safeguard computer databases. They also use scripts and configuration files to tailor a database to users’ needs.
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.
Data models 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.
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.
Business intelligence manager: Business intelligence managers gain knowledge of the industry, the innovative processes therein, and contrast them with the operations of the company in order to improve them. They focus their analysis in the supply chain processes, warehouses, storage, and sales as to facilitate communication and revenue improvement.
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.
Data entry clerk: Data entry clerks update, maintain and retrieve information held on computer systems. They prepare source data for computer entry by compiling and sorting information, process customer and account source documents by reviewing data for deficiencies and verify entered customer and account data.
Policy manager: Policy managers are responsible for managing the development of policy programs and ensuring that the strategic objectives of the organization are met. They oversee the production of policy positions, as well as the organization’s campaign and advocacy work in fields such as environmental, ethics, quality, transparency, and sustainability.
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.
Data entry supervisor: Data entry supervisors manage the day-to-day operations of data entry staff. They organise the workflow and tasks.
Webmaster: Webmasters deploy, maintain, monitor and support a web server to meet service requirements. They ensure optimum system integrity, security, backup and performance. They coordinate the content, quality and style of websites, execute the website strategy and update and add new features to websites.
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.
- Data models – ESCO