Disruptive Innovations Using Tech-Business Analytics in the Tertiary Industry Sector

Abstract

Purpose: Disruptive Innovations Using Tech-Business Analytics in the Tertiary Industry Sector aims to transform service-based businesses through the use of cutting-edge technologies and insight-based decision-making. By increasing productivity, customization, and scalability, this strategy produces better client experiences, more efficient operations, and innovative business models that go against established market structures.

Methodology: Combining both structured and unstructured information from multiple sources, such as market trends, consumer interactions, and the Internet of Things. employing big data analytics, predictive modeling, and machine learning to glean insights and spot possibilities. using cutting-edge technology to improve service delivery, such as cloud computing, blockchain, automation, and artificial intelligence. using platform-based economies, rethinking procedures, and developing new sources of income. Enhancing client happiness and strategy refinement through real-time analytics and feedback loops. In the tertiary sector, this model guarantees competitive advantage and sustainable growth.

Analysis: In the tertiary sector, disruptive technologies powered by tech-business analytics are revolutionizing established service models through increased customer satisfaction, cost savings, and efficiency. As a result, tech-business analytics shift the tertiary industrial landscape and promote sustainable growth by acting as a catalyst for disruptive ideas.

Originality/Value: An explanation of how traditional business analytics in the tertiary sector is different from tech business analytics. In addition, it looks at thirty recently submitted study recommendations about Tech Business Analytics in Tertiary industries and contains a generic design that can be used for technical purposes.

Type of Paper: Exploratory Research.