Role of Business Intelligence and Knowledge Management in Solving Business Problems

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”...

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Main Author: Eissa Mohammed Ali Qhal
Format: Article
Language:English
Published: University North 2022-01-01
Series:Tehnički Glasnik
Subjects:
Online Access:https://hrcak.srce.hr/file/404727
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author Eissa Mohammed Ali Qhal
author_facet Eissa Mohammed Ali Qhal
author_sort Eissa Mohammed Ali Qhal
collection DOAJ
description 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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spelling doaj.art-0ba8876252464263827710e12a3cd0472022-12-22T02:33:50ZengUniversity NorthTehnički Glasnik1846-61681848-55882022-01-01163371378Role of Business Intelligence and Knowledge Management in Solving Business ProblemsEissa Mohammed Ali Qhal0Administration Department, Applied College, Jazan University, Jizan, Saudi ArabiaThe 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.https://hrcak.srce.hr/file/404727Business intelligenceknowledge managementbusiness problemsPCAK-means
spellingShingle Eissa Mohammed Ali Qhal
Role of Business Intelligence and Knowledge Management in Solving Business Problems
Tehnički Glasnik
Business intelligence
knowledge management
business problems
PCA
K-means
title Role of Business Intelligence and Knowledge Management in Solving Business Problems
title_full Role of Business Intelligence and Knowledge Management in Solving Business Problems
title_fullStr Role of Business Intelligence and Knowledge Management in Solving Business Problems
title_full_unstemmed Role of Business Intelligence and Knowledge Management in Solving Business Problems
title_short Role of Business Intelligence and Knowledge Management in Solving Business Problems
title_sort role of business intelligence and knowledge management in solving business problems
topic Business intelligence
knowledge management
business problems
PCA
K-means
url https://hrcak.srce.hr/file/404727
work_keys_str_mv AT eissamohammedaliqhal roleofbusinessintelligenceandknowledgemanagementinsolvingbusinessproblems