In the fast changing world with technologies, product and service life cycles becoming shorter and shorter, there is a need to cope with new challenges fast. There is a strong need to shift from traditional paradigms to data driven intelligent enterprise holding the promise of better decisions, higher efficiency, and greater business value. Data is vital. It indicates what’s on the road ahead and how to navigate it successfully. Making your enterprise more intelligent than before requires adapting to a new mindset of agility and proactiveness and getting acquainted with emerging technologies and data driven techniques for daily operations insulating enterprise against the risks of business disruption
You need to think-whether you as critical resource or your enterprise are leveraging the opportunities at right time with right value? IF you have questions or puzzled-then join the program
Pedagogy :
Combination of lectures, hand-on sessions and case discussions will be used during the course.
Session Plan:
Day 1: Foundations for an Intelligent Enterprise
• Session 1 : Understanding the Intelligent Enterprise
o Defining the intelligent enterprise: Characteristics, benefits, and goals.
o Challenges faced by traditional enterprises: Data silos, outdated processes, lack of agility.
o Exploring the role of technology in driving intelligence: AI, ML, IoT, automation.
o Role of Enterprise Systems in an Intelligent Enterprise
•Session 2 : Innovation and Digital Transformation
o The need for digital transformation: Adapting to changing market dynamics and customer expectations.
o Key pillars of digital transformation: People, processes, technology, data.
o Strategies for successful digital transformation: Leadership, culture, experimentation, agility.
• Session 3 & 4 : Digital and Cyber-Physical Systems
o Introduction to cyber-physical systems: Integration of physical processes with digital technologies.
o Applications of cyber-physical systems in the enterprise: Manufacturing, supply chain, product development.
o Data collection and analysis in cyber-physical systems: Sensors, IoT devices, real-time analytics.
o Case Study discussion
Day 2: Analytics and the Intelligent Enterprise
• Session 5 : Introduction to Data Analytics
o Types of data: Structured, unstructured, semi-structured.
o The data analytics process: Collection, preparation, analysis, visualization, interpretation.
o Essential data analytics tools and techniques: Descriptive statistics, regression, clustering, classification.
• Session 6 & 7: Leveraging Analytics for Intelligent Decisions
o Applying analytics to different business functions: Marketing, sales, operations, finance, HR.
o Case studies: Real-world examples of organizations using analytics to drive growth and efficiency.
• Session 8 : Technology decision for intelligent enterprise
o The future of the intelligent enterprise: Emerging trends and technologies.
o Discussions with Participants: Q&A, interactive activities, reflections.
This course is designed for professionals at all levels who want to understand and harness the power of digital transformation and data analytics to drive their organizations forward.
Registration Closed
If you/your organisation are interested in this program and would like to learn more, contact us at program@www.iimmumbai.ac.in
Mode | Offline / IIM Mumbai Campus |
Duration | 2 Contact Days |
Programme Dates | Nov 11, 2024 to Nov 12, 2024 |
Program Chair | Prof. Amit Kumar Das |
Program Co-Chair | Prof. Purnima Sangle and Prof. Ruchita Gupta |