Information management (IM) is the appropriate and optimized capture, storage, retrieval, and use of information. It may be personal information management or organizational. Information management for organizations concerns a cycle of organizational activity: the acquisition of information from one or more sources, the custodianship and the distribution of that information to those who need it, and its ultimate disposal through archiving or deletion and extraction. This cycle of information organisation involves a variety of stakeholders, including those who are responsible for assuring the quality, accessibility and utility of acquired information; those who are responsible for its safe storage and disposal; and those who need it for decision making. Stakeholders might have rights to originate, change, distribute or delete information according to organisational information management policies. Information management embraces all the generic concepts of management, including the planning, organizing, structuring, processing, controlling, evaluation and reporting of information activities, all of which is needed in order to meet the needs of those with organisational roles or functions that depend on information. These generic concepts allow the information to be presented to the audience or the correct group of people. After individuals are able to put that information to use, it then gains more value. Information management is closely related to, and overlaps with, the management of data, systems, technology, processes and – where the availability of information is critical to organisational success – strategy. This broad view of the realm of information management contrasts with the earlier, more traditional view, that the life cycle of managing information is an operational matter that requires specific procedures, organisational capabilities and standards that deal with information as a product or a service.
History
Emergent ideas out of data management In the 1970s, the management of information largely concerned matters closer to what would now be called data management: punched cards, magnetic tapes and other record-keeping media, involving a life cycle of such formats requiring origination, distribution, backup, maintenance and disposal. At this time the huge potential of information technology began to be recognised: for example a single chip storing a whole book, or electronic mail moving messages instantly around the world, remarkable ideas at the time. With the proliferation of information technology and the extending reach of information systems in the 1980s and 1990s, information management took on a new form. Progressive businesses such as BP transformed the vocabulary of what was then "IT management", so that "systems analysts" became "business analysts", "monopoly supply" became a mixture of "insourcing" and "outsourcing", and the large IT function was transformed into "lean teams" that began to allow some agility in the processes that harness information for business benefit. The scope of senior management interest in information at BP extended from the creation of value through improved business processes, based upon the effective management of information, permitting the implementation of appropriate information systems (or "applications") that were operated on IT infrastructure that was outsourced. In this way, information management was no longer a simple job that could be performed by anyone who had nothing else to do, it became highly strategic and a matter for senior management attention. An understanding of the technologies involved, an ability to manage information systems projects and business change well, and a willingness to align technology and business strategies all became necessary.
Positioning information management in the bigger picture In the transitional period leading up to the strategic view of information management, Venkatraman, a strong advocate of this transition and transformation, proffered a simple arrangement of ideas that succinctly brought together the management of data, information, and knowledge (see the figure) argued that:
Data that is maintained in IT infrastructure has to be interpreted in order to render information. The information in our information systems has to be understood in order to emerge as knowledge. Knowledge allows managers to take effective decisions. Effective decisions have to lead to appropriate actions. Appropriate actions are expected to deliver meaningful results.
This is often referred to as the DIKAR model: Data, Information, Knowledge, Action and Result. The recognition that information management is an investment that must deliver results can be important to organisations that depend on information and good decision-making for their success.
Theoretical background
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![Information management: This simple model summarises a presentation by Venkatraman in 1996, as reported by Ward and Peppard (2002, page 207).[4]](https://upload.wikimedia.org/wikipedia/commons/thumb/3/32/DIKAR_model.jpg/500px-DIKAR_model.jpg?utm_source=en.wikipedia.org&utm_campaign=parser&utm_content=thumbnail)


