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dc.contributor.authorREDWANUL HAIDER, SYED ALI
dc.date.accessioned2023-11-19T07:29:31Z
dc.date.available2023-11-19T07:29:31Z
dc.date.issued2023-09-24
dc.identifier.urihttps://ar.iub.edu.bd/handle/11348/697
dc.description.abstractIn today's dynamic industrial landscape, data-driven decision-making stands as a foundational pillar of operational success. This document encapsulates the meticulous planning, development, and continual maintenance of an industrial dashboard designed to empower organizations in the monitoring, analysis, and optimization of their operational processes. With a focus on user-centric design, interactive functionality, robust data integration, and stringent security measures, the dashboard serves as a userfriendly and secure platform for informed decision-making. Notably, the integration of machine learning brings predictive maintenance, real-time anomaly detection, and data-driven insights to the forefront, transforming operational efficiency and risk mitigation. Furthermore, the project champions sustainability, environmental responsibility, and positive social impact, underpinned by a commitment to reducing ecological footprints and nurturing community relations. Looking ahead, the project envisions expanding data sources, enhancing user experiences, and maintaining an unwavering dedication to sustainability, making it a testament to the organization's commitment to data-driven excellence, responsible corporate citizenship, and a sustainable future.en_US
dc.language.isoenen_US
dc.publisherIndependent University, Bangladeshen_US
dc.subjectData Analysisen_US
dc.titleAn Undergraduate Internship on Power BI (DATA ANALYST)en_US
dc.typeTechnical Reporten_US


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