Leading Strategic Innovation – Programme Overview
Data and algorithms are revolutionising organisational decision-making, driving efficiency and profitability. However, realising the full potential of big data requires enhancing stakeholders’ analytical capabilities. While industries and government agencies are increasingly adopting applied econometrics, artificial intelligence (AI), machine learning (ML), the Internet of Things (IoT), blockchain, and data mining, a considerable skills gap remains.
This training programme, aligned with the Karmayogi Functional Competency Model (Data Analytics - Guna of Rājyakarma), is designed to equip officers, executives, and managers with expertise in applied econometric techniques and digital technologies. Participants will develop proficiency in data management by handling big data and leveraging analytics tools, data analysis and visualisation through effective exploration and interpretation, and data-driven decision-making by applying insights for strategic and impactful outcomes.
OBJECTIVES
- Enhance their ability to make data-driven decisions using statistical models.
- Gain hands-on experience with Power BI and Tableau for real-time data visualisation.
- Understand key machine-learning techniques for classification, clustering, and forecasting.
- Explore how blockchain and IoT enhance transparency, security, and operational efficiency in governance and business
CONTENT
Day 1: Foundations of Data Analytics
Introduction to data-driven decision-making, fundamentals of data analytics, significant data sources, and their impact on business strategy. Hypothesis and testing.
Day 2: Predictive Analytics & Business Intelligence
Exploration of econometric models (such as regression, classification) for trend forecasting and business decision-making. Hands-on exercises with Power BI and Tableau.
Day 3: Machine Learning for Strategic Decision-Making
Introduction to classification models and ML-based decision-making. Application of ML techniques in business contexts.
Day 4: Blockchain & IoT in Decision-Making
Understanding the role of blockchain in transparency and security. Exploring IoT’s impact on real-time data processing and automation.
Day 5: Advanced Analytics & Capstone Project
Application of advanced analytics techniques through practical case studies. Participants will engage in interactive discussions on the impact of AI and ML on the industry and complete a capstone project by applying their acquired skills.
METHODOLOGY
The training will adopt an interactive approach, including classroom sessions, case studies, hands-on exercises, live projects, and experience-sharing sessions.
Participant Profile
ASCI’s AMP cohort is a selected group of senior officials drawn from the top management teams of Public & Private sector companies, and Government departments with cross-functional responsibilities, likely to assume board level positions.
FACULTY
- Dr Karnak Roy, Associate Professor – with 17 years of teaching and training experience. He has trained thousands of officers in Data Analytics, Innovation Management, Research Methodology, and Data-Driven Decision-Making.
- Dr Raman Ghosh, Assistant Professor – with 10 years of teaching and industry experience. He has trained officers in Data Analytics, Artificial Intelligence, Research Methodology, and Data-Driven Decision-Making.
PARTICIPANT PROFILE
This programme is designed for government officials engaged in policy research and decision-making and middle and senior-level managers from financial institutions and Banks, regulatory bodies, and consulting firms. It is also ideal for business analysts, economists, and statisticians looking to enhance their data analytics expertise. Additionally, professionals interested in AI, ML, and data-driven strategies for governance and business will find this training highly beneficial.
VENUE
The programme is fully residential and the participants will be accommodated in air-conditioned single occupancy rooms. The college does not provide accommodation for the family. The college is Wi-Fi enabled in a comprehensive way.
DURATION
The programme duration is 5 days starting from September 15-19, 2025. The participants are expected to arrive a day before commencement and may leave after the conclusion of the programme.
PROGRAMME FEE
Residential Fee: Rs. 69,500/- (US $ 1086 for foreigners) plus GST as applicable (presently 18%) per participant. The fee covers tuition, board and lodging, courseware (in electronic form) and other facilities of the College including internet usage.
Non-Residential Fee: Rs. 59,500/- plus GST as applicable (presently 18%) per participant. The fee covers tuition, course ware (in electronic form) working lunch and other facilities of the College including internet usage.
A discount of 10% on the Programme fee for three or more participants from the same organisation will be given, provided the payment is credited into our Bank account before September 13, 2025.
Note:Kindly forward us the details of the Bank/ Wire transfer of the programme fee through email to: [email protected] for confirmation.
MEDICAL INSURANCE
The nominees are requested to carry with them the proof of Medical Insurance. The sponsoring agency is required to endorse the nominees' medical coverage in the event of hospitalization
LAST DATE FOR NOMINATION
Please use the prescribed/attached form. Last date for receiving nominations is September 08, 2025. Kindly contact Programmes Officer for further details (contact details are given at the end of the nomination form).
LAST DATE FOR WITHDRAWAL
September 09, 2025. Any withdrawals after this date will entail forfeiture of fee paid, if any.
ASCI ALUMNI ASSOCIATION
Participants of the College programmes will automatically become members of the ASCI alumni association.
CERTIFICATE OF PARTICIPATION
The College issues a Certificate of Participation on conclusion of the programme.
