An Economic and Modern Business Intelligence Solution for Textile Industries in Bangladesh

α
Md. Al-Hasan
Md. Al-Hasan
σ
Mst. Rubina Aktar
Mst. Rubina Aktar
ρ
Mohammad Sajib Al Seraj
Mohammad Sajib Al Seraj
α Bangladesh Army University of Science and Technology
σ Bangladesh University of Engineering and Technology Bangladesh University of Engineering and Technology

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An Economic and Modern Business Intelligence Solution for Textile Industries in Bangladesh

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Abstract

Textile Industries are doing most promising business in Bangladesh from last few years. We are already in top five garments exporting country list and the demand of our garments product is increasing day by day both in our country and outside the country. Because of increasing demand of this sector textile industries are also growing very fast in number. To meet the end users demand now textile industries have to compete with the quality of others so that they can satisfy the need of different users of garments product. Analyzing user mind is really a tough task to grow the textile business with latest trend and mode of new generations. Business Analytics can make this tough task very easy by analyzing different sales report with different perspectives. To meet the new trend and demand of new generation, proposed business analytics setup of different technologies is much better for the textile industries compared to existing systems used in Bangladesh.

References

5 Cites in Article
  1. Brojo Mishra,Deepannita Hazra,Kahkashan Tarannum,Manas Kumar (2016). Business Intelligence using Data Mining techniques and Business Analytics.
  2. Olivera Marjanovic,Thilini Ariyachandra,Barbara Dinter (2014). Introduction to Business Analytics, Business Intelligence, and Big Data Minitrack.
  3. L Duan,L Xu (2012). Business intelligence for enterprise systems: a survey.
  4. Ernie Mazuin,Mohd Yusof,Mohd Shahizan Othman,Yuhanis Omar,Ahmad Rizal,Mohd Yusof (2013). The Study on the Application of Business Intelligence in Manufacturing: A Review.
  5. (2016). LAS VEGAS SANDS CORP., a Nevada corporation, Plaintiff, v. UKNOWN REGISTRANTS OF www.wn0000.com, www.wn1111.com, www.wn2222.com, www.wn3333.com, www.wn4444.com, www.wn5555.com, www.wn6666.com, www.wn7777.com, www.wn8888.com, www.wn9999.com, www.112211.com, www.4456888.com, www.4489888.com, www.001148.com, and www.2289888.com, Defendants..

Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

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No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

How to Cite This Article

Md. Al-Hasan. 2018. \u201cAn Economic and Modern Business Intelligence Solution for Textile Industries in Bangladesh\u201d. Global Journal of Computer Science and Technology - G: Interdisciplinary GJCST-G Volume 18 (GJCST Volume 18 Issue G2): .

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Issue Cover
GJCST Volume 18 Issue G2
Pg. 11- 14
Journal Specifications

Crossref Journal DOI 10.17406/gjcst

Print ISSN 0975-4350

e-ISSN 0975-4172

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GJCST-G Classification: I.2.1
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v1.2

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May 14, 2018

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en
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Textile Industries are doing most promising business in Bangladesh from last few years. We are already in top five garments exporting country list and the demand of our garments product is increasing day by day both in our country and outside the country. Because of increasing demand of this sector textile industries are also growing very fast in number. To meet the end users demand now textile industries have to compete with the quality of others so that they can satisfy the need of different users of garments product. Analyzing user mind is really a tough task to grow the textile business with latest trend and mode of new generations. Business Analytics can make this tough task very easy by analyzing different sales report with different perspectives. To meet the new trend and demand of new generation, proposed business analytics setup of different technologies is much better for the textile industries compared to existing systems used in Bangladesh.

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An Economic and Modern Business Intelligence Solution for Textile Industries in Bangladesh

Md. Al-Hasan
Md. Al-Hasan Bangladesh Army University of Science and Technology
Mst. Rubina Aktar
Mst. Rubina Aktar Bangladesh University of Engineering and Technology
Mohammad Sajib Al Seraj
Mohammad Sajib Al Seraj

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