Enhancing Energy Management in Industries through MIS and Data Analytics Integration

  • Nazma Begum et al.
Keywords: Energy management, MIS integration, data analytics, operational efficiency, sustainability

Abstract

Due to rising global competition and ecological demands, industries seek robust approaches to optimize energy usage and maintain sustainability across diverse operational contexts, safeguarding profitability. This study aims to integrate advanced Management Information Systems (MIS) and data analytics to systematically enhance energy management within multiple industries, focusing on cost reduction, regulatory compliance, and environmental stewardship. Conducted from January 2023 to June 2024 at the Department of Business Analytics, International American University (Los Angeles, CA) and Data and App LLC (Okemos, MI), this mixed-method study utilized sensor-based data collection, ERP logs, and advanced statistical modeling. Aligned with supply chain and fashion house frameworks, the methodology emphasized data integration, real-time dashboards, and iterative analytics for actionable insights. Results revealed a 15% average reduction in overall energy consumption (SD=2.4%), a 12% decrease in peak demand (SD=1.8%), and significant cost savings (p<0.01) across industrial sectors. Comparative analyses demonstrated that businesses adopting integrated MIS and advanced analytics exhibited 20% higher operational efficiency than control groups. Machine learning-driven predictions identified over 85% of anomalous consumption patterns (SD=3.1%). Moreover, correlation tests confirmed a relationship (r=0.72, p<0.05) between data-driven decision-making and improved energy metrics. These outcomes underscore the importance of real-time monitoring, strategic data governance, and organizational culture shifts in achieving energy optimization and compliance. Additionally, standardized regression coefficients indicated a 0.45 unit decrease in energy intensity per data analytics adoption level (p<0.01). For industries seeking a holistic framework, integrating MIS and data analytics proves vital for robust energy management. This approach offers measurable benefits in operational efficiency, environmental stewardship, and cost containment.

Author Biography

Nazma Begum et al.

Nazma Begum1*,Md Sakib Hasan Hriday2, Syed Azazul Haque3,Muslima Begom Riipa4

1 Intern, Department of Data and Business Analyst, Data and App LLC: OKEMOS, MI, US, ORCID iD: https://orcid.org/0009-0008-7662-9282

2 Department of Management Information System, International American University, Los Angeles, CA, ORCID iD: https://orcid.org/0009-0002-7519-9109

3 Department of Business Analytics, International American University, Los Angeles, CA, ORCID iD: https://orcid.org/0009-0002-8354-9375

4 Department of Business Analytics, International American University, Los Angeles, CA, ORCID iD: https://orcid.org/0009-0008-4473-669X

Corresponding Author: Nazma Begum, Intern, Department of Data and Business Analyst, Data and App LLC: OKEMOS, MI, US

Published
2024-02-04
Issue
Volume 2024
Section
Regular Issue

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