A Business Analytics Approach to Lean Six Sigma for Improving Operational Efficiency and Organizational Performance

Ms. Shrilaxmi Sanikop

shrilaxmisanikop@gmail.com

Dr. KALI CHARAN SABAT

kalicharan-mba@dayanandasagar.edu

Department of Management Studies, Dayananda Sagar College of Engineering

ABSTRACT

In today's competitive business environment, organizations continuously seek methods to improve operational efficiency, minimize process variation, reduce waste, and enhance customer satisfaction. Lean Six Sigma (LSS) has emerged as a powerful continuous improvement methodology by integrating Lean principles of waste elimination with Six Sigma's statistical approach to quality improvement. The present study aims to evaluate the effectiveness of Lean Six Sigma in solving operational problems and improving organizational performance through data-driven decision-making. A quantitative research approach was adopted by collecting responses from 127 employees working in manufacturing and service organizations using a structured questionnaire. Statistical techniques including descriptive analysis, correlation, regression, hypothesis testing, Linear Programming, and Markov Chain analysis were applied to evaluate the relationship between Lean Six Sigma implementation and operational efficiency. The findings reveal that organizations implementing Lean Six Sigma experience significant improvements in process efficiency, quality, customer satisfaction, and competitive advantage. Leadership commitment, employee involvement, and continuous monitoring were identified as critical success factors. The study concludes that integrating Lean Six Sigma with Business Analytics enables organizations to make evidence-based decisions, optimize resources, and achieve sustainable operational excellence.

Keywords: Lean Six Sigma, Operational Efficiency, Business Analytics, Continuous Improvement, Quality Management, Linear Programming, Markov Chain.