Development of a Big Data-Driven Business Management Framework for Enterprises in the Biotechnology Sector

Abstract

To adapt to the rapid pace of global innovation in big data technology, this paper proposes the construction of a business management analysis framework tailored for enterprises, focusing particularly on the gene testing industry. By analyzing Enterprise D within this sector, the study explores the prevailing business environment and competitive dynamics. As of the end of 2021, Enterprise D has grown to over 100 employees, with a diverse academic background: 23% holding master’s or doctoral degrees, 47% bachelor’s degrees, and 26% college diplomas. This skilled technical team not only ensures the delivery of high-quality services but also underpins the firm's strong reputation. The analysis indicates significant resources in human, physical, and financial capacities. However, Enterprise D, having entered the market later than its competitors, faces challenges in management and marketing capabilities, necessitating further enhancement. Nonetheless, the enterprise distinguishes itself with its technical prowess in bioinformatics analysis and report interpretation, addressing market needs with comprehensive professional services. This unique blend of technological and service capabilities provides Enterprise D with competitive advantages, demonstrating the critical role of a big data-driven business management analysis framework in navigating and excelling in today’s dynamic business environments.