Business Analytics for Managers – Programme Overview
In today's fast-paced business environment, data-driven decision-making is essential for managers across industries. Business Analytics is pivotal in identifying trends, optimising processes, and driving profitability. Organisations that effectively leverage analytics gain a competitive advantage in finance, operations, marketing, risk management, and strategy.
This three-day specialised programme equips managers, government officers, and banking professionals with a comprehensive understanding of Business Analytics, its applications, and practical tools for data-driven decision-making. Through case studies, hands-on exercises, and expert-led discussions, participants will learn to enhance operational efficiency, improve forecasting, optimise resource allocation, and mitigate risks. The sessions focus on real-world business applications, ensuring immediate applicability to professional domains.
OBJECTIVES
- Develop Data-Driven Decision-Making Skills – Analyze and interpret business data for strategic insights.
- Enhance Business Efficiency – Use analytics to optimise processes, improve productivity, and reduce operational costs.
- Improve Risk Management – Leverage data analytics to identify and mitigate financial and operational risks.
- Boost Performance Measurement & Forecasting – Utilize predictive analytics for planning and business growth.
- Apply Business Intelligence Tools – Gain hands-on experience with industry-leading analytics tools and software.
CONTENT
Day 1: Fundamentals of Business Analytics
• Understanding data-driven decision-making and its business impact.
• Business Intelligence & Data Visualization: Tools and techniques for data representation.
• Hands-on training in dashboards and visualisation tools like Tableau.
Day 2: Data-Driven Decision-Making in Action
• Introduction to AI and ML techniques with applications in banking, healthcare, and other domains.
• Overview of Big Data technologies and tools with industry-specific applications.
• Introduction to Generative AI and its role in various industries.
Day 3: Strategy & Leadership in the Data Era
• Data Governance & Compliance – Managing data security, privacy laws, and ethical AI practices.
• Big Data & AI for Business Strategy – Understanding data's role in shaping modern business models.
• Data Monetization & Competitive Advantage – Leveraging data as a business asset.
• Capstone Discussion – Industry insights and AI-powered innovations.
METHODOLOGY
The programme follows an interactive pedagogy incorporating classroom sessions, case studies, hands-on exercises, and experiential learning. Participants will engage in discussions and industry-relevant problem-solving to reinforce learning outcomes.
FACULTY PROFILE
With over nine years of experience spanning research, teaching, and industry, Dr. Priya Verma has taught at several prestigious business schools and facilitated numerous certification courses in Business Analytics for professionals. She has extensive experience delivering courses, workshops, and webinars for MBA students and executives.
Dr. Priya Verma is an Assistant Professor of Data Analytics at the Centre for Management Studies, Administrative Staff College of India (ASCI), Hyderabad. She holds a Ph.D. in Data Science and Applied Machine Learning from IIT Hyderabad and completed her Post-Doctoral Fellowship at the same institution. Additionally, she holds a dual degree (B.Tech and M.Tech) in Computer Science Engineering and pursued executive education in Applied Business Analytics at ISB.
PARTICIPANT PROFILE
This programme is ideal for professionals engaged in strategic decision-making, technology adoption, AI policy implementation, and digital transformation. It is particularly beneficial for those seeking to integrate AI into governance, financial services, banking, healthcare, and the entertainment industry to enhance efficiency, mitigate risks, and drive innovation. Organisational sponsorship is essential.
VENUE
The programme is fully residential, and participants will be accommodated in air-conditioned single occupancy rooms. The college does not provide accommodation for family members. The ASCI campus is fully Wi-Fi enabled.
DURATION
The programme duration is 3 days from January 19–21, 2026. Participants are expected to arrive a day before commencement and may leave after the conclusion of the programme.
PROGRAMME FEE
Residential Fee: ₹43,700 per participant plus GST (currently 18%)
(US $683 + GST for foreign participants).
The fee covers tuition, board and lodging, courseware (in electronic form), and other campus facilities including internet usage.
Non-Residential Fee: ₹37,700 per participant plus GST (currently 18%).
The fee covers tuition, courseware (in electronic form), working lunch, and other campus facilities including internet usage.
Discount: 10% discount for three or more participants from the same organisation, provided payment is credited before January 16, 2026.
MEDICAL INSURANCE
The nominees are requested to carry 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 nomination form. Last date for receiving nominations is January 12, 2026. Kindly contact the Programmes Officer for further details.
LAST DATE FOR WITHDRAWAL
January 15, 2026. Any withdrawals after this date will entail forfeiture of the programme fee, if paid.
ASCI ALUMNI ASSOCIATION
All participants of ASCI programmes automatically become members of the ASCI Alumni Association, fostering continued learning and networking.
CERTIFICATE OF PARTICIPATION
A Certificate of Participation will be awarded to all participants upon successful completion of the programme.
PROGRAMME DIRECTOR
Dr. Priya Verma
Email: [email protected]
