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Article . 2026
License: CC BY
Data sources: Datacite
ZENODO
Article . 2026
License: CC BY
Data sources: Datacite
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Database-Driven Automation of Query-Based Stakeholder Information in Sri Bhimashankar Sahakari Sakkare Karkhane Niyamit, Margur, Indi Tq, Vijayapur Dist.

Authors: Murugendra Wali; Dr. Sanjay Ashwale; Kumarswamy Hiremath;

Database-Driven Automation of Query-Based Stakeholder Information in Sri Bhimashankar Sahakari Sakkare Karkhane Niyamit, Margur, Indi Tq, Vijayapur Dist.

Abstract

The automation of shareholder information management in a sugarcane factory plays a crucial role in improving data accuracy, accessibility, and operational efficiency. This research work focuses on automating the storage, retrieval, and management of shareholder data using SQL queries within an MS-Access database, integrated with the ASP.NET framework for Bhimashankar Sugar factory. The system is designed to store essential shareholder information, such as personal details, shareholding percentages, transaction histories, and voting rights, in a stored structured MS-Access database. By leveraging the ASP.NET framework, a web-based interface is developed, allowing users to interact with the database for querying, updating, and producing reports on shareholder data in real-time entity. SQL queries facilitate efficient data handling and ensure the truthfulness of shareholder records. The use of MS-Access provides an affordable, scalable, and user-friendly database solution while simplifying the process of automating and managing shareholder information. This system enhances data accuracy, security, and transparency, enabling the sugar factory's management to make informed decisions and fostering better communication with its investors.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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