Programme Overview
The myths, promises, and realities surrounding business analytics need to be confronted and addressed by the senior management teams of organizations in todays volatile business landscape. As the conventional differentiators of competitive advantage start vanishing fast, use of data driven intelligence has started emerging as the game changer. Understanding the emerging nature of competition, planning a roadmap for enhancing competitive capability, and visualizing the future of analytics-oriented competition have become a necessity for senior management in organizations.
Data-smart firms are developing new models of decision-making that exploit overwhelming amounts of data to make smart products and services for consumers. The potential to create value by data aggregation and analysis is huge, and firms leveraging analytics are at a vantage point in their competitive landscape. Newer sets of capabilities are required to bring the value of the data gathered from all the frontline processes.
The Senior Management Programme in Business Analytics (SMPBA) is an intensive, 9-month, multi-modular, programme. This programme is targeted towards senior managers who appreciate how analytics could unleash value for the firm and its consumers.
Programme Objective
- To pave ways for improving organizational readiness in using data analytics as a powerful mechanism for business model innovation
- To recognize and inculcate necessary capabilities comprising analytical tools and techniques with behavioral skills toward competitive advantage
Programme Directors
Who Should Attend
Leaders/Executives who want to drive strategic initiatives at their organisation through analytics. The inherent nature of the subject requires familiarity with high-school-level mathematics and a penchant for analytical thinking. The participants should be mentally prepared to view appropriate business problems through the lens of data and analytics to appreciate the complexities and leverage the associated opportunities. Working Professionals with an experience profile of ten years or more, who are graduates (10+2+3)/post graduates in any discipline with at least 50% marks.
Programme Duration and Delivery
The duration of the programme is 09 months. This is a multi-modular programme with 15 days at 91心頭利- Calcutta Campus spread over 3 Campus visits which is compulsory for all participants, along with a few hours of Live Online Session (Direct to Desktop). The programme will be delivered through the D2D platform once a Week (Sunday- 9:00 am 12:00 pm) (applicable for only live online classes) The campus module will be conducted subject to the evolving COVID- 19 pandemic situation and will depend on Government and Institute policies related to the same.Pedagogy
The pedagogy will be highly interactive including Campus Immersion at 91心頭利 and D2D modules. This is a blended programme which includes classroom lectures, D2D modules, real-life case studies, group discussions, simulations.Programme Content
| Module# | Module | Topics | Objectives |
|---|---|---|---|
| 1 | The business value of data analytics | Building a data-driven culture in an organization | Analytics readiness of an organization and building a data-driven decision-making culture, |
| Building organizational team for making use of Data Science and Analytics, | |||
| Appreciating the emerging nature of competition and the role of business analytics AI Projects/ hands-on tutorials with real life industry applications | |||
| 2 | Statistics for Data Science | Statistics | The art of summarizing data and statistical learning in decision making |
| Probability | Applied probability and decision making under uncertainty | ||
| Sampling | Data sampling and the art of inferring about the population from samples | ||
| Regression | Regression techniques and the art of capturing relationships among variables of interest | ||
| 3 | Descriptive Analytics | Exploratory Data Analysis | Appreciation of analytical reasoning and empirical findings from data |
| Data Visualization | Functional areas of management | ||
| Functional areas of management | Analytical models in supply chains, operations management, marketing, finance and related applications | ||
| 4 | Experimentation | Experiment Design, Analysis & Testing | Data capture and preprocessing issues |
| Causal Inference and analysis | Interpretation of raw data | ||
| Interpreting results | Interpretation of statistical summary of data | ||
| 5 | Data sources | Data sources | Issues in filtering Raw Data for finding extract worth Modeling |
| Data Extraction and Cleaning | Outlier analysis, Dimensionality reduction in Data Cleaning | ||
| 6 | Predictive Analytics | Forecasting | Business forecasting principles and issues |
| Classification | Artificial Intelligence and Machine Learning in Decision Making role of supervised learning | ||
| Clustering | Role of unsupervised learning in decision making | ||
| Time series analysis | Time series analysis-based decision making | ||
| Supervised Machine Learning | Combining human expertise with data driven intelligence for decision making | ||
| Neural Networks and Deep Learning | Artificial neural network and deep learning in decision making | ||
| 7 | Prescriptive Analytics | Simulation | Learning through simulation and games |
| Decision Analysis | Individual and group decision making issues | ||
| Optimization Models | Use of discrete optimization concepts in decision making | ||
| Game theory | Insights from game theoretic situations, Network externalities and network effect on economy, Information cascade effects in decision making |
Programme Sample Certificate
Alumni Status
- LDP participants who complete the programme successfully become the Alumni of 91心頭利C Executive Education, which currently has over 30,000 members.
- LDP Alumni are given an email-id in the 91心頭利 domain.
- LDP Alumni can register in the 91心頭利 Alumni portal either with this email-id or with their personal email-ids. The 91心頭利 Alumni portal is a common platform for Alumni of all programmes of the Institute to interact with each other and stay connected with the Institute.
- The Institute shares newsletters, important news and articles about the Institute and its activities, the achievements of the Institute's faculty, staff, students and alumni, upcoming events and programmes etc., on the portal.
- Alumni can post their achievements, write about jobs or LIVE project opportunities for other alumni to see.
- The 91心頭利 alumni network can also be accessed on mobile phones through the mobile app.
- Executive Education Alumni are entitled to a discount of 5% on the programme fee if they opt to do another LDP.
- By using the different features of the 91心頭利 portal, alumni across programmes can engage with each other in many meaningful ways. It is up to the alumni themselves to leverage the platform
How to Apply
For further details and for downloading the application form please visit : -
Contact Details:
Name: Ritesh Singh
Phone No.: 9711608586
Email: mgrldp[at]iimcal[dot]ac[dot]in
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