
Article Fingerprint
ReserarchID
CSTL2054
Choose where you want to hide AI Takeaway. Your site-wide choice will be remembered in this browser.
Although Entity Relationship Model have turned out to be de facto corporate data modeling vehicle, current exercise for its application to real-world business processes is disclosed to surprisingly face a pressing peril of an alarming level in terms of data consistency and the degree of unnecessary data redundancy. In this paper, the matter-of-fact legacy practice, once thought to be a confidential or secret, obtained from some major broadcasting company is articulately reported and its demerits as well as its antagonistic side effect due to abnormality are discussed in depth. We were able to remold such an ill-manifested case to a legitimate ER model vindicated through an endeavor of a couple of months long. The two cases then are compared both qualitatively and quantitatively. The result of analysis has shown that illformed data models contain more than a ratio of 40 percent of unnecessary data redundancy, which leads us to have an implication that it is heavily contingent to seek a corrective measure for cutting down the ratio.
Dr. Hae Kyung Rhee. 1970. "A Rare Example of Pitfall in Corporate Data Modeling Practices for information systems". Global Journal of Computer Science and Technology GJCST Volume 11 (GJCST Volume 11 Issue 9).
Crossref Journal DOI 10.17406/gjcst
Print ISSN 0975-4350
e-ISSN 0975-4172
v1.2
Explore published articles in an immersive Augmented Reality environment. Our platform converts research papers into interactive 3D books, allowing readers to view and interact with content using AR and VR compatible devices.
Your published article is automatically converted into a realistic 3D book. Flip through pages and read research papers in a more engaging and interactive format.
Total Score: 146
Country: Unknown
Subject: Global Journal of Computer Science and Technology
Authors: Dr. Hae Kyung Rhee (PhD/Dr. count: 1)
View Count (all-time): 221
Total Views (Real + Logic): 4470
Total Downloads (simulated): 296
Publish Date: 2022 03, Thu
Monthly Totals (Real + Logic):
We use cookies and similar technologies to improve site performance, understand traffic, and enhance your publishing experience. Cookie Policy
Choose which optional cookies Global Journals can use. Your preference applies across this platform and can be updated any time.
These cookies are required for core website functionality and security.
Lorem ipsum dolor sit amet, consectetur adipiscing elit. Ut elit tellus, luctus nec ullamcorper mattis, pulvinar dapibus leo.