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Post1.docxby Indra Kumar Siripurapu
Relationship between data, information and knowledge
Data is the unrefined version, whereas information is considered to be refined and organized and knowledge is considered to be the value of the information. The development in IT industry has lead to huge streaming data which is analyzed and used for the advantage of the organization. This increases the quantity of data, knowledge and the information, but the utilization of all these to full extent has been lacking. The relationship between information, data and knowledge is still not evident till date. There has been several models which depict the relationship between information, data and knowledge. The Value-Chain model which shows the formation of knowledge from information which is processed from data. Whereas the materialization model is a reversed model compared to the value chain model which shows the derivation of data from information and knowledge. Another model called interactive model exists where information is derived from both data and knowledge. The value-chain model is most recognized compared to the rest. Overall, there has been several depictions regarding the relationship between data, information and knowledge but there has been controversies regarding the conclusion of the relationship.
Reasons for Information Deficiency
One of the main reasons for Information deficiency in an organization is the due to the lack of strong data storage methods and the fluctuating information. As the technology is changing, the information obtained is also not constant and unpredictable. The traditional data storage methods have been designed has certain limitations and there may be issues with the data format. Another reason of Information deficiency can be loss of information due to any technical difficulties. Loss of small amount of information can change the graph of the organization. Another reason would be lack of understanding of the use of the information. Without having the knowledge of the information , the information cannot be used properly for the organization benefit.
Ways to overcome information deficiency
One of the ways to overcome Information deficiency is to maintain a good data storage. Upgrading the data storage with additional features would help in prevention of loss of data or the limitations on storage of information can be avoided. A Good management of the information is required in order to avoid information deficiency.
References
(Kettinger & Li, 2010). The infological equation extended: towards conceptual clarity in the relationship between data, information and knowledge, https://www.proquest.com/docview/742649696/fulltext/97D6146717E148AAPQ/1?accountid=9864
(Dan Li, 2019). Human-Centred Dissemination of Data, Information and Knowledge in Industry 4.0, https://www.sciencedirect.com/science/article/pii/S2212827119309084#keys0001
Pejova, Z. (1996). Information Management Problems and Challenges in Transition Economies. Retrieved from, https://asistdl.onlinelibrary.wiley.com/doi/full/10.1002/bult.21
