Decision-making can be an exciting and challenging experience in this competitive world of business and particularly during uncertainty and turbulent times like the pandemic. This contextual notion of Managerial Decision Making is used to bring conceptual order in the endless variety of functional areas of business. The decision-makers normally take decisions in their functional area and have little or no understanding of decisions taken in other functional areas. Therefore, this Programme has been designed with a cross-disciplinary approach to give a holistic view of how decisions should be taken in different functional areas at the organizational level in the dynamic competitive, and challenging business environment. In recent times decision-making is aided by various tools, techniques, and data analytics. Since most major decisions have overtones of the economy, therefore it becomes imperative that decisions are taken with an understanding of the difficult environment of business and the economy.
To appraise the participants of the varied nature and challenges of managerial decisions
To familiarise the participants with the conceptual order of different kinds of managerial decision making
To acquaint the participants with the latest tools and techniques of decision making
To facilitate the learning of managerial decision-making by assessing the disruptive impact of local and the global business environment
The decisions by Functional Area
1. Production and economic decisions
2. Marketing decisions
3. Financial decisions
4. Strategic decisions
Tools for Decision Making
5. Statistical Techniques
6. Data Analytics
7. Artificial Intelligence and Machine Learning
External Factors affecting Decision Making
8. Competitive Business Environment
9. Government Policies
Managers and decision-makers from all sectors in private and public undertakings
Venue | Offline |
Duration | 30 Hrs. |
Starts On | Aug 21, 2023 |
Faculty | Prof. Vijaya Gupta / Prof. Utpal Chattopadhyay |
Duration | Professional Fee*(Per participant) | GST(18%) | Total Fees(Per Participant) | Programme Code |
---|---|---|---|---|
30 Hrs. | 17,500.00 | 3,150.00 | 20,650.00 | 1 24 4 77 |