Much of the information stored in the workplace holds some information about who created it automatically stored in its metadata. In Office applications this is usually applied through Active Directory (AD) – the permissions and access tool. What AD often doesn’t know is a person’s job description or title and so over time the names of people associated with your content becomes meaningless.
Organograms (maps that display the structure of an organisation) show us who carries out the organisation’s functions, their formal relationships with others. This can provide a conceptual aid in the classification and discovery of content and data over time.
Using content analytics tools that offer text-mining and machine learning technology (artificial intelligence) we can identify, structure and enrich information, facts and events and enable top-level classification. These tools can support records managers, archivists, historians and social researchers as they explore and discover meaning in our information overload.
Organograms stored as data files (see data.gov.uk/organogram for a good example of this) and maintained over time as a living record of the organisation’s functions and who was responsible for carrying them out, can link these forgotten people to your business’ actual functions.