LABORATORY DETAILS
Centre for Digital Analytics & Decision Science
Overview
The goal of the Center for Digital Analytics and Decision Science is to stimulate discussion and develop new ideas in digital marketing strategy & analytics. Through its various components, the Center will help industry and academic researchers develop new theories and implement them in their respective fields.
Organizations may now acquire data at a granular level because to the availability of digital technology. As a result, data-assisted judgments have become an integral aspect of every condition. However, 70% of all data acquired by organisations is never utilised. The amount of data necessitates the use of scientific approaches to examine the data and support judgments. Digital analytics has solved several complicated challenges in this area by using relevant scientific methodologies to the data generated. The use of statistical and mathematical approaches to create insights and recommendations regarding a problem is known as analytics.
Aims and objectives
Through the sharing of vital information and expertise as insights, the proposed centre attempts to make commercial sense of the massive data accessible and create value for the associated parties. The center's goals in this direction are as follows:
To aid the objective the following purposes are established:
â— Organize Faculty Development Programs (FDP) and workshops on digital analytics for academicians, research scholars, practitioners, and entrepreneurs.
â— Collaborate with organizations for value co-creation - applying contemporary practices and extending the frontiers of analytics and digital transformation through continuous engagement
Our Role
â— Create a hub for research and applied knowledge in the burgeoning field of digital marketing strategy and analytics.
â— Facilitate dialogue and exchange among academics and the business community.
â— Accumulate distinctive industry resources through active participation and exchange between member companies.
â— Focus on interdisciplinary research (marketing, strategy, statistics, computer science, etc.)
