Because of COVID-19, many providers are cancelling or postponing in-person programs or providing online participation options.
We are happy to help you find a suitable online alternative.
Who should attend
Middle or senior level managers of all companies who are using or plan to use, apply and benefit from analytics. The person may be from the service sector (like IT, supply chain firms, banks, hotels, airlines, railways, internet service providers, etc.) or the energy sector (thermal, hydroelectric power plants, etc.), process industries (like steel, aluminium, cement, polymer, petrochemicals, pharmaceuticals, etc.) or manufacturing indsutries.
About the course
Decision making in today’s world is a complex phenomenon and is likely to be influenced significantly by bias, gut feeling and intuition. It requires a thorough unbiased analysis taking into account the interest of all stakeholders. Analytics is an important management tool that business firms/corporates need today for survival and growth. While analytics is considered a high-tech fashionable buzzword, many of its concepts have been in use for the last 60 years all over the world, making a business value of 500 billion dollars. It has also been used in a variety of ways, for example, in the development of railway time tables, managing pricing decisions for perishable services, reduction of spread of AIDS, changing defence budgets, etc. However, training in analytics has focussed more on methodology and less on implementation. This programme will focus where analytics alongwith Management Science tools, has created significant impact (both in monetary terms and in terms of its impact on policy issues).
- To enable participants to structure a problem context, generate alternatives, evaluate them on a multiple set of criteria.
- Examine the decision making process from the outcome from a pragmatic perspective.
- To appreciate the complexity of decision making, when multiple stake holders are involved.
- To draw knowledge and insights from behavioural sciences in instilling appropriate decisions in a context.
- Introduction to Management Science, Operations Research and Analytics
- Stakeholder Analysis, Models and Model Building
- Analysing Sequential Decisions
- Predictive Modelling
- Simulating the Future
- Making Simultaneous Decisions (Application in Energy)
- Lab sessions Software
- Integrating Applications
- Analytics as a source of competitive advantage
The essence of the art and science of decision making lies in the fact that knowledge of data science (earlier known as management science or decision technologies) is not only an essential management skill, but a vital functional area in many industries and it can be source of major competitive advantage. Organisations that are good at analytics can create cost or revenue advantage over their competitors. Central to this idea is that the success of analytics depends on the successful solution of real world problems.
Educational Qualifications B.Tech (Hons) -IIT, Kharagpur, 1979 PGDM, XLRI, Jamshedpur, 1988 PGDOR, ORSI, Calcutta, 1988 Ph.D., Northwestern University, USA, 1996. Academic Affiliation Visiting Professor, HEC Paris, May-June, 2011 Faculty, London School of Economics and Political Science, Londo...