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, 8-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.
Eligibility
Working executives who are graduates (10+2+3 or equivalent)/postgraduates in any discipline with minimum 50% marks, with an experience profile of at least 8 years after graduation are eligible.Programme Duration and Delivery
The duration of the programme is 08 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- 9:30 am 12:30 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
| Sl No | Content | Topics |
|---|---|---|
| 1 | The business value of data analytics | Assessing analytics readiness in your business |
| Building high-performance data science and analytics teams | ||
| Competing with data and analytics | ||
| Building a data-driven organization | ||
| 2 | Statistics for Decision-making | Applying statistical thinking to business decision-making |
| Using applied probability for managing uncertainty | ||
| Inferring population insights through data sampling | ||
| Capturing variable relationships with regression analysis | ||
| 3 | Data Preparation & Descriptive Analytics | Identifying data sources and filtering raw data for modelling |
| Extracting, cleaning, analyzing outliers and reducing dimensionality in datasets | ||
| Performing exploratory data analysis for empirical insight generation | ||
| Creating effective data visualizations for decision support | ||
| Designing experiments and preprocessing for business analysis and testing | ||
| Applying causal inference to interpret observational data | ||
| Interpreting statistical summaries for business relevance | ||
| 4 | Predictive Analytics & Machine Learning | Applying forecasting techniques for business planning |
| Using supervised learning and classification models in decision-making | ||
| Applying unsupervised learning and clustering to discover patterns | ||
| Conducting time series analysis for data-driven forecasting | ||
| Enhancing decisions with supervised machine learning models | ||
| Leveraging neural networks and deep learning for business intelligence | ||
| 5 | Prescriptive Analytics for Strategic Decisions | Using simulation models to explore decision outcomes |
| Applying decision analysis for individual and group choices | ||
| Solving complex problems using optimization models | ||
| Understanding strategic behavior with game theory and network effects | ||
| 6 | Case studies of Applied Business Analytics Across Functions | Applying people analytics for planning workforce productivity and effectiveness |
| Using marketing analytics to optimize customer engagement and ROI | ||
| Leveraging financial analytics for better forecasting and optimization decisions | ||
| Improving organizational process efficiencies through operations analytics | ||
| Enhancing supply chain performance with analytics-driven insights | ||
| 7 | GenAI and Agentic AI Applications in Business | Exploring the business impact of GenAI and agentic AI systems |
| Using GenAI to enhance business analytics and storytelling | ||
| Generating and refining data visualizations with GenAI tools | ||
| Designing agentic AI systems to support or automate business decisions |
- Capstone Projects
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: Will be updated soon.
Contact Details:Name: Hasini Bhupathi
Email ID: hasini.b[at]talentsprint[dot]com
Phone: 7331112138
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