Security Issues and Threats Facing the Electronic Enterprise Leadership

El-Ebiary, Yousef A. Baker; Almandeel, Seita; Ghanem, Waheed Ali H. M.; Abu-Ulbeh, Waheeb; Al-Dubai, Maged M. Mahyoub; Bamansoor, Samer

doi:10.1109/icimcis51567.2020.9354330

Cited by 23 publications

(2 citation statements)

References 15 publications

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“…• Requirements Reporting -the recipient would prefer to conduct an examination on the development of Bitcoin business, with the help of numerous particulars as conceivable [9]. • Requirements are Broken Down -this is the second step in the business analysis this has different sections for the process such as the findings of yearly transactions, the volume of transaction, the globalization of industry and the vital information on current posters about the industry [18]. • Prioritization -The most relevant attributes are to be considered for the analysis.…”

Section: Methodsmentioning

confidence: 99%

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Role of Business Intelligence and Knowledge Management in Solving Business Problems

Qhal

2022

Teh. glas. (Online)

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The term “Business intelligence” is described as a plan or a strategy where the operations like reporting, data analysis, data mining, event processing are performed to improve the production and growth of a business enterprise or a business entity. And on the other hand, the “Knowledge management” is explained as well-organized management of resources and information within a commercial organization it can be a business too. Almost all business will have limitations and challenges which can be also known as the business problems. One of the main business problem is demand, the business plans must work according to the demand of the consumers. Analyzing the demand would provide the solutions for queries like what is the business trend? What is the need of the users? What should be the improvement make in the production? Where is the current position of the enterprise? And who all will be the competitors? For the predictive analysis a dataset of bitcoin is taken. The major aim of the study is to implement the strategies to overcome the business problems mainly the demand prediction. And the objective is to find out the relevant issues and the remedies by using knowledge management and business intelligence to the common business problems. The dataset has columns called lowest price, highest price, open price, close price, trading volume and market capital. The research methodology used is predictive analysis using PCA and K-means clustering algorithm. By this dataset predictive plots are developed as achieved results for easy analysis by using research methodology. PCA and K-means are the algorithm used for accurate prediction. The importance of study is to predict the future sale, as it is very essential for a business enterprise to find future demand so that the organization can improve production.

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Section: Methodsmentioning

confidence: 99%

“…-Quality: Quality of the production is important. For the existence of the business organization the enterprise must provide quality products for the customers [18].…”

Section: What Is the Business Problem?mentioning

confidence: 99%