Degree
Master of Science in Data Science
Department
Department of Computer Science
Faculty/ School
School of Mathematics and Computer Science (SMCS)
Date of Submission
Fall 2023
Supervisor
Dr. Muhammad Sarim, Visiting Faculty, Department of Computer Science, School of Mathematics and Computer Science (SMCS)
Keywords
Analytics, Customer Mobilization, Data-Driven Strategies, Customer Engagement, Operational Efficiency, 80/20 Analysis, Peak Performance Analysis
Abstract
IntelliSphere represents a paradigm shift in the any industry, introducing a transformative solution that redefines customer mobilization strategies.
In the dynamic landscape of modern industry, where data-driven strategies are pivotal, IntelliSphere emerges as a comprehensive toolkit, leveraging advanced analytics to optimize customer engagement, enhance decision-making, and improve operational efficiency.
This solution features seven meticulously designed dashboards, catering to diverse roles within the industrial hierarchy, from Supervisor to Account Executive. Through the lenses of Pareto Analysis,Customer Potential Analysis, Customer Classification Analysis, and Customer 360 profiling, IntelliSphere provides unparalleled insights, enabling industries to attract, engage, and retain customers through personalized and data-driven strategies.
The methodology behind IntelliSphere involves a systematic approach, from needs assessment to continuous improvement, ensuring a solution that adapts to the evolving demands of the modern industrial landscape.
The implementation process includes database design, data population, integration with Power BI, and the creation of user friendly dashboards, resulting in a seamless transition toward data-driven decision making.
As IntelliSphere unfolds its potential, with a commitment to continuous improvement, user-friendly interfaces, and adherence to data privacy and security, IntelliSphere sets a new standard for industry analytics, ushering in a future where precision analytics meets personalized customer engagement. Welcome to IntelliSphere.
Document Type
Restricted Access
Submission Type
Research Project
Recommended Citation
Khan, M. (2023). IntelliSphere (Unpublished graduate research project). Institute of Business Administration, Pakistan. Retrieved from https://ir.iba.edu.pk/research-projects-msds/28
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