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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:10.55041/IJSREM23460

Shipment Data Dashboard using Power BI

Stream/Area:

-

Subject:

-

Paper ID:

10.55041/IJSREM23460

Volume:

7 |

6 |

Jun 2023

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
Not assigned

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

PV

Poonam Verma

TB

Tarun Bhatt

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Abstract

Nowadays, with the change in business circumstances, the significance of Business Intelligence has gained lots of consideration. Business Intelligence tools can provide standardization with a fast and smart decision-making process based on multiple data sources, which might be able to affect the survival of the organization in the market. And because of the changes in the extrinsic business environment and professional needs, a new access BI solution, a Self-service BI solution, is introduced and during the last few years, the number of market players using the approach has increased expeditiously. The objective of this paper was to build a BI dashboard solution to the Business Problem: Power BI presented by Microsoft, one of the leading professionals in the area of MSBI. This research contains two parts. The first part is the theory package which covers the Microsoft Power BI Tool and BI Dashboard-making approaches in order to provide the readers with an overall under- standing of these concepts. The second part contains the understanding of the structure of the data and restructures the data in such a way that the data model could fetch useful information from the restructured data.

KEYWORDS

Auto-Scheduling analytics exploring Integration impactful Intelligence Visualization

Cite This Article

Poonam Verma, Tarun Bhatt, "Shipment Data Dashboard using Power BI," International Journal of Scientific Research in Engineering and Management, vol. 7, no. 6, Jun 2023. https://doi.org/10.55041/IJSREM23460

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Publication Date

12/5/2023

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Double-Blind Peer Review

Review Rounds: 2

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The authors declare no conflict of interest related to this research work.

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