Profession 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.
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- Enterprising / Conventional
- Data mining
The methods of artificial intelligence, machine learning, statistics and databases used to extract content from a dataset.
- 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 storage
The physical and technical concepts of how digital data storage is organised in specific schemes both locally, such as hard-drives and random-access memories (RAM) and remotely, via network, internet or cloud.
- Data models
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.
- Business intelligence
The tools used to transform large amounts of raw data into relevant and helpful business information.
- Information categorisation
The process of classifying the information into categories and showing relationships between the data for some clearly defined purposes.
- Information architecture
The methods through which information is generated, structured, stored, maintained, linked, exchanged and used.
- Decision support systems
The ICT systems that can be used to support business or organisational decision making.
- Business processes
Processes which an organisation applies to improve efficiency, set new objectives and reach goals in a profitable and timely manner.
- Online analytical processing
The online tools which analyse, aggregate and present multi-dimensional data enabling users to interactively and selectively extract and view data from specific points of view.
- Information security strategy
The plan defined by a company which sets the information security objectives and measures to mitigate risks, define control objectives, establish metrics and benchmarks while complying with legal, internal and contractual requirements.
- Information extraction
The techniques and methods used for eliciting and extracting information from unstructured or semi-structured digital documents and sources.
- Information structure
The type of infrastructure which defines the format of data: semi-structured, unstructured and structured.
- Create data models
Use specific techniques and methodologies to analyse the data requirements of an organisation's business processes in order to create models for these data, such as conceptual, logical and physical models. These models have a specific structure and format.
- Manage ICT data architecture
Oversee regulations and use ICT techniques to define the information systems architecture and to control data gathering, storing, consolidation, arrangement and usage in an organisation.
- Manage business knowledge
Set up structures and distribution policies to enable or improve information exploitation using appropriate tools to extract, create and expand business mastery.
- Assess informational needs
Communicate with clients or users in order to identify which information they require and the methods with which they can access it.
- Analyse the context of an organisation
Study the external and internal environment of an organisation by identifying its strengths and weaknesses in order to provide a base for company strategies and further planning.
- Migrate existing data
Apply migration and conversion methods for existing data, in order to transfer or convert data between formats, storage or computer systems.
- Manage data collection systems
Develop and manage methods and strategies used to maximise data quality and statistical efficiency in the collection of data, in order to ensure the gathered data are optimised for further processing.
- Manage information sources
Identify relevant internal and external information sources and providers. Organise the information workflow and define information deliverables.
- Deliver visual presentation of data
Create visual representations of data such as charts or diagrams for easier understanding.
- Structure information
Organise information using systematic methods such as mental models and according to given standards in order to facilitate user information processing and understanding with respect to the specific requirements and characteristics of the output media.
- Interpret current data
Analyse data gathered from sources such as market data, scientific papers, customer requirements and questionnaires which are current and up-to-date in order to assess development and innovation in areas of expertise.