Usability of Data Warehousing and Data Mining for Interactive Decision Making in Textile Sector

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Dr. Muhammad Shakeel Faridi
Dr. Muhammad Shakeel Faridi MS (Computer Science)
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Tasleem Mustafa
Tasleem Mustafa
α University of Agriculture Faisalabad University of Agriculture Faisalabad

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Usability of Data Warehousing and Data Mining for Interactive Decision Making in Textile Sector

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Abstract

Data warehouse is one of the most rapidly growing areas in management information system. With this approach, data for Executive Information System (EIS) and Decision Support System (DSS) applications are separated from operational data and stored in a separate database. This process is called data warehousing. The major advantages of this approach are: improved in performance, better data quality, and the ability to consolidate and summarize data from heterogeneous systems. A data warehouse is part of a larger infrastructure that includes legacy data sources, external data sources, a repository, data acquisition software, and user interface and related analytical tools. The aim of this research work is to elaborate that how the textile industry can manage and improve their production capacity and resources at optimum level to produce a good quality result using data warehousing and data mining techniques. This research work is conduction in Masood Textile Mills Limited, Faisalabad, Pakistan (MTML). The results may hopefully openedup an era of research and methodology that could further benefit the Industry to support in decision support system.

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Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

How to Cite This Article

Dr. Muhammad Shakeel Faridi. 1970. \u201cUsability of Data Warehousing and Data Mining for Interactive Decision Making in Textile Sector\u201d. Unknown Journal GJCST Volume 12 (GJCST Volume 12 Issue 7): .

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v1.2

Issue date

April 4, 2012

Language
en
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Data warehouse is one of the most rapidly growing areas in management information system. With this approach, data for Executive Information System (EIS) and Decision Support System (DSS) applications are separated from operational data and stored in a separate database. This process is called data warehousing. The major advantages of this approach are: improved in performance, better data quality, and the ability to consolidate and summarize data from heterogeneous systems. A data warehouse is part of a larger infrastructure that includes legacy data sources, external data sources, a repository, data acquisition software, and user interface and related analytical tools. The aim of this research work is to elaborate that how the textile industry can manage and improve their production capacity and resources at optimum level to produce a good quality result using data warehousing and data mining techniques. This research work is conduction in Masood Textile Mills Limited, Faisalabad, Pakistan (MTML). The results may hopefully openedup an era of research and methodology that could further benefit the Industry to support in decision support system.

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Usability of Data Warehousing and Data Mining for Interactive Decision Making in Textile Sector

Dr. Muhammad Shakeel Faridi
Dr. Muhammad Shakeel Faridi University of Agriculture Faisalabad
Tasleem Mustafa
Tasleem Mustafa

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