Disruptive Innovations Using Tech-Business Analytics in Primary Industry Sector
Through the use of advanced data analytics technologies, the tech business analytics (TBA) driven disruptive technologies can revolutionize industries by promoting their corporate growth, and efficient production. TBA targets to manage long term issues, enable innovative opportunities, and facilitate organizations to make decisions efficiently in an evolving corporate environment. TBA is a strategic method that integrates sophisticated analytics and technology to disruptive innovations to uncover, develop, and implement innovative ideas that can disrupt existing business models, open up new markets, and accelerate growth. It includes activities including identifying industry pain points, collecting and analyzing data, creating new business models, prototyping, scaling, and ongoing monitoring and adaptation in order to foster innovation and competitive advantage. Companies may utilize advanced analytics and data-driven insights to transform markets, make better decisions, and become more competitive, according to research on disruptive innovations using TBA. When disruptive ideas utilizing TBA are developed and applied to transform sectors and open up new business opportunities, they become unique. Using data-driven insights and advanced analytics in novel and disruptive ways to upend established conventions and business models requires creative thinking. In TBA, originality is about extending the limits of data and technology to boost competitiveness and propel business expansion.
Authors
- Hirdesh Sharma
- Richa Mishra (ORCID: https://orcid.org/0000-0001-8786-8432)
- Devanshu Dube (ORCID: https://orcid.org/0000-0002-4350-7317)
- Sachin Kumar (ORCID: https://orcid.org/0000-0002-1136-8009)
- Ruchi Agarwal (ORCID: https://orcid.org/0000-0002-9004-4589)
- P. Sivaraman (ORCID: https://orcid.org/0009-0004-7558-823X)
Institutions
- National Institute of Technology Warangal (IN)
- International Management Institute (IN)
- JRE Group of Institutions (IN)
- Applications Research (United States) (US)
Publication Details
- Published
- 2025-04-02
- DOI
- https://doi.org/10.23919/indiacom66777.2025.11115767
- Primary Topic
- Big Data and Business Intelligence
- Type
- article
- Field-Weighted Citation Impact
- 0.00