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Published in Michael L. Madigan, HAZMAT Guide for First Responders, 2017
NIMS identifies the requirements for a standardized framework for communications, information management, and information-sharing support at all levels of incident management. Incident management organizations must ensure that effective, interoperable communications processes, procedures, and systems exist across all agencies and jurisdictions.Information management systems help ensure that information flows efficiently through a commonly accepted architecture. Effective information management enhances incident management and response by helping to ensure that decision making is better informed.
Business Intelligence, Big Data and Data Governance
Published in Pedro Novo Melo, Carolina Machado, Business Intelligence and Analytics in Small and Medium Enterprises, 2019
Hélder Quintela, Davide Carneiro, Luís Ferreira
Data Governance is mandatory for a successful organization to achieve master data management, improve data quality, build BI [52], being compliant with regulatory policies, ensuring that data is of high quality, it is usable, it has integrity across all the systems of the Enterprise Information System, it is protecting the privacy of the data owners, and that it is secure. Data Governance can be defined as an organizational approach to data and information management that formalizes a set of policies and procedures to guide the full life cycle of data, from collection to visualization.
Information management
Published in Keith Alexander, Facilities Management, 2013
Information management is the process by which quality information is generated, structured and communicated to support its application in decision-making. Organizations must develop a coherent framework that includes the information required for planning, providing and managing facilities. Specific facilities needs will be embodied in a facilities information management system (FIMS), consistent with the organization’s overall systems.
Analysis of cutting-edge technologies for enterprise information system and management
Published in Enterprise Information Systems, 2023
Brij Bhooshan Gupta, Akshat Gaurav, Prabin Kumar Panigrahi, Varsha Arya
In the present scenario of industry 4.0 and industry 5.0 information management is an important task (Aoun et al. 2021a; Chatterjee, Kar, and Mustafa 2021; Gaurav, Gupta, and Panigrahi 2022; Knapcikova and Perakovi´c 2022; Tay, Alipal, and Lee 2021b). Information is basically about relationships and action, and it is context dependent and assumes knowledge of how something works (Lou et al. 2021). As a result, the goal of effective information management is to ensure that the appropriate information is available to the appropriate people at the appropriate times. The goal of information management is to create value for an organisation by systematically creating, disseminating, exchanging, using, and improving important knowledge held by both individuals and the company as a whole. In other words, information management is an endeavour to promote the use and transfer of knowledge within the company and involves defining how data, information, and knowledge are gathered, exchanged within, and distributed outside of the company. The key concepts here are communication and cooperation (Ter´an-Bustamante, Mart´ınez-Velasco, and D´avila-Arag´on 2021a; Tian et al. 2020). Organizational information management is the systematic and coordinated use of internal knowledge to enhance corporate performance, allowing it to support a global business plan. Therefore, we can say that information management is a new field with its own research base that has its own advantages and disadvantages; therefore, a proper focus is needed in this field.