During the lesson, we were able to identify DIKAR by its abbreviation as Data, Information, Knowledge, Action, and Results. In a more comprehensible term, DIKAR model is the model processes that connect data, information, knowledge as well as strategic actions to create a business result. A diagram was used to make imagery demonstration of how DIKAR model operates, whereby on the balance score, the focus was on the data processing followed by the provision of information to the business. As per the critical success factors, the center is in the business results as we as knowledge and action needed to fulfill those results. For enhancing the understanding on the topic, an overview of knowledge management systems was given, which was divided into explicit knowledge and tactic knowledge. Also the obtaining, storing, sharing and using knowledge was illustrated, it was divided into knowledge workers, knowledge respiratory, knowledge map, and effective KMS. The critical knowledge acquired at the end of this lesson is that information can be managed if it is planned.
Managing Information Databases and Data Centres
This lesson touches on the fundamental information in data, data hierarchy, database terms, data management, database approach and data modeling. As described, data is a vulnerable, organized and sensible root of all information that is presented in various formats. Data hierarchy refers to the logical organization of data frequently in the hierarchical form. The hierarchy presentation of the data begins with the database at the top followed by files, records, fields, and characters respectively. "Data hierarchy" is the model in database and data theory that assist in showing the correlations between smaller and larger components in the data file or database. Of offers the comprehensive understanding of the data together with the manner in which they relate with one another.
Managing Information Systems overview
The topic focuses on the general model of the system, where key terms such as the system, the process of system development, and the existence of the system while isolated, were discussed. During the lesson, the general system knowledge was described using the input, process and output model. The system components included the software, database, people, hardware as well as the producers. De flow diagram was used to enhance understanding of the topic. The competitive advantage if the system model was identified, such as the long-term benefit over its competition and the higher- quality products. Towards the end of the presentation, two direct quotes from credible sources were used to support the topic.
Managing Information and Decision Support
The main ideas discussed include system potential, management information system, decision support together with decision making which include the relationship to problem-solving and approaches. The illustration on how the decision making relates to the problem solving was done using a flow diagram, where it is understood that the two coexist regarding functionality, under the elements such as intelligence, design, choice, implementation, and monitoring. It is was easy to identify the effective decision approach with regards to their purpose; they include: optimisation, rational, sacrificing, heuristics and instincts.
The managerial information and system were based on the decision support, expert system and executive support, the MIS and corporate functions were used to show the interrelationship among the various element s of the managerial information system. The levels of management decision making are divided into decision structure as well as the information characteristics. The lesson depicts Executive support system (ESS)as the software that facilitates the users transformation of the data into an easily accessible and executive level reports.
Planning and development methodologies
In management information, the new system methodologies are introduced due to factors like efficiency in time, cost-effective image, legal obligation, competitive advantages, etc. The lesson brought a clear understanding of the many distinct steps in the traditional development of an information system.; the SSADM is the most common and highly published methodology. The traditional systems development lifecycle is made up of 5 stages: Investigation, Analysis, Design, Implementation, and Maintenance. All the stages need to be controlled by the manager referred to as the system analyst. I appreciated understanding the important to identify the roles that will be performed. I understood how the iterative loop in the development stage.
Who stores your data?
The data can be stored in various methods, such as in the data storage devices or on the cloud
How do decisions vary at different levels?
In management information, the decision vary based on the vulnerability, sensitivity, formatting, type of organizations well as the root of all information. What are the characteristics of information at these levels?
How is Knowledge managed differently to Information?
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