Data mining

Description

The methods of artificial intelligence, machine learning, statistics and databases used to extract content from a dataset.

Alternative labels

Skill type

knowledge

Skill reusability level

sector-specific

Relationships with occupations

Essential knowledge

Data mining is an essential knowledge of the following occupations:

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 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.
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.

Optional knowledge

Data mining 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.

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.
ICT business analysis manager: ICT business analysis managers identify areas where information system changes are needed to support business plans and monitor the impact in terms of change management. They contribute to the general ICT functional requirements of the business organisation. ICT business analysis managers analyse business needs and translate them into ICT solutions.
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.
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.
ICT system analyst: ICT system analysts specify the system needs to meet the end user requirements. They analyse system functions in order to define their goals or purposes and to discover operations and procedures for accomplishing them most efficiently. They also design new IT solutions to improve business efficiency and productivity, produce outline designs and estimate costs of new systems, specify the operations the system will perform, and the way data will be viewed by the end user. They present the design to the users and work closely with the users to implement the solution.
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.

 


 

References

  1. Data mining – ESCO

 

Last updated on September 20, 2022