Read and respond to two of classmates' posts

1.  Discuss the relationship between data, information, and knowledge. Support your discussion with at least 3 academically reviewed articles.

2.  Why do organization have information deficiency problem? Suggest ways organizations can overcome information deficiency problems.

Even though there are various definitions about data, information, and knowledge, there is still no clear picture of the differentiation between these definitions. Few researches show that information is a flow of data while others define information as a message or form of communication (Cooper, 2017). On the other hand, data is used in maintaining records of activities. Thus, information is the source which consists of the past and present data. Furthermore, knowledge is defined as the aspect that exists in our brains which helps in decision making (Fred, Y. Y., 2017). Thus, information is said to be produced after data is processed. Information thereafter becomes knowledge after being absorbed by a person. Also, it is observed that, during the documentation of knowledge, it becomes information. On the other hand, when information is captured, it becomes data (Tang, V., Yanine, F., & Valenzuela, L., 2016). Therefore, the highest aspect in the hierarchy is knowledge, followed by information, then data.

For an organization to run successfully, it has to integrate information systems effectively. Therefore, having the correct information and using it in the right manner is an important aspect for the success of an organization. Today, organizations are seen to still suffer from information deficiency. This is attributed to the poor storage methods and unpredictable nature of information which are crucial for the future. It is usually difficult to single out which information is important to the organization and which one is not. This leads to information deficiency. In order to solve this issue, the organization should consider integrating information changes and data. This is important in updating their systems with the necessary information which can be used (Stefanović, 2016). Also, companies are encouraged to use of modern data storage methods.

References

Cooper, P. (2017). Data, information, knowledge and wisdom. Anaesthesia & Intensive Care Medicine, 18(1), 55-56. doi:10.1016/j.mpaic.2016.10.006

Fred, Y. Y. (2017). Measuring knowledge: A quantitative approach to knowledge theory. In. Scientific Metrics: Towards Analytical and Quantitative Sciences (pp. 155-162). Springer, Singapore.

Stefanović. (2016). A comparison of the Analytic Hierarchy Process and the Analysis and Synthesis of Parameters under Information Deficiency method for assessing the sustainability of waste management scenarios. Journal of cleaner production, 130, 155-165.

Tang, V., Yanine, F., & Valenzuela, L. (2016). Data, information, knowledge and intelligence. International Journal of Innovation Science.