Web Platform Lead Management System for NEAC Medical Exam Application Center with Data Analytics

  • Alvin B. Amit Graduate School – Master in Information Technology, Adamson University, Philippines
  • Carmelita H. Benito Graduate School – Master in Information Technology, Adamson University, Philippines
  • Leonard L. Alejandro Graduate School – Master in Information Technology, Adamson University, Philippines
  • Jesus S. Paguigan Graduate School – Master in Information Technology, Adamson University, Philippines

Abstract

Purpose  – This project introduces a tailored Web-based Lead Management System (LMS) for the NEAC Medical Exams Application Center, designed to enhance lead capture, monitoring, and conversion. Features include seamless data capture, centralized storage, personalized communication tools, and advanced analytics, empowering teams to optimize strategies for maximum efficacy.

Method – Utilizing advanced web technologies and responsive design, the LMS offers a user-friendly interface with real-time data management, robust security measures including data encryption, and informative dashboards for detailed lead analysis.

Results – Initial results show the LMS significantly boosts lead conversion rates and operational efficiency at NEAC. Real-time analytics allow for alignment with market trends and improved lead management strategies, enhancing overall sales success.

Conclusion – The LMS has transformed NEAC’s lead management processes, integrating smoothly with existing IT infrastructure and enhancing operational efficiency through automated features and detailed analytics. Initial feedback praises its intuitive design and effective lead quality assessment, fostering better team collaboration.

Recommendations – Future enhancements could include deeper analytics, artificial intelligence for lead scoring, and expanded marketing functionalities, aiming to strengthen the LMS’s value to NEAC and its scalability across various organizational contexts.

Research Implications – The LMS marks a significant improvement in NEAC's lead management, contributing to higher sales and better customer relationships, showcasing the impact of online systems in streamlining business operations.

Author Biographies

Alvin B. Amit, Graduate School – Master in Information Technology, Adamson University, Philippines

Student at Adamson University and is currently taking a master's in information technology (MIT). He is currently employed in NEAC as an IT Project Manager, with seven years of IT experience and expertise in Digital Marketing. He is Also, active in sports such as running, trailing, and dragon boat. He has multiple certifications in Web Development, Web Application, and mobile application.

Carmelita H. Benito, Graduate School – Master in Information Technology, Adamson University, Philippines

She is currently connected to Adamson University. She is a certified IT Specialist in Network and Network Security.

Leonard L. Alejandro, Graduate School – Master in Information Technology, Adamson University, Philippines

This author obtained his Master of Science in Information Technology (MSIT) degree from the Polytechnic University of the Philippines (PUP-Manila) in 2009, the same year he finished his Certificate in Teaching Program from Adamson University. In 2017, this author graduated with his Doctor of Philosophy Major in Technology Management (PhD-TM) from the Technological University of the Philippines.

Jesus S. Paguigan, Graduate School – Master in Information Technology, Adamson University, Philippines

Accomplished academic professional with expertise in Information Technology. He holds a Doctorate from AMA University (2019). He serves as the Dean of the College of Computing Studies at EARIST, where he has also held key administrative roles, including Director of Research and Development (2022-2024) and Director for Management Information Systems (MIS) (2019-2022).

Published
2024-08-06
How to Cite
AMIT, Alvin B. et al. Web Platform Lead Management System for NEAC Medical Exam Application Center with Data Analytics. International Journal of Computing Sciences Research, [S.l.], v. 8, p. 3058-3069, aug. 2024. ISSN 2546-115X. Available at: <//stepacademic.net/ijcsr/article/view/594>. Date accessed: 12 dec. 2024.
Section
Articles