Business analytics is the art and science of creating business value from data, advanced analytics, machine learning and artificial intelligence. It is a core part of the digital transformation of many firms and industries. However, beyond the hype, significant barriers exist for leaders wishing to harness these emerging forces into their management practice. Companies that successfully develop advanced capabilities to leverage their data can make quicker, faster, and more informed decisions across all areas of their functions, creating a significant competitive advantage.

Business analytics powered by modern machine learning is a part of the data--software--algorithms revolution that is powering the AI led 4th industrial revolution. This training will demystify business analytics using use-cases from a variety of industries, transform leaders into analytics champions within their organizations, and help drive modern operating and business models. It will demystify these buzzwords and empower leaders with the ‘art-of-the-possible.’ We will cover both, the low hanging-fruit of getting immediate value from use cases in a variety of functional areas across industries, as well as get future-ready for a world where machines will be able to see, hear, and understand natural language at near human level accuracy. What does this mean for your firm, your industry and your competitiveness?

Benefits of attending the course

  • Understand the transformative power of today’s analytics, including the broad scope of business questions that can now be answered
  • Understand how to climb the AI summit with descriptive, predictive, causal and prescriptive machine learning
  • Gain foundational insight into new machine learning methods to predict future outcomes, e.g., customer churn, risk-management, anomaly detection, people analytics, optimal targeting etc
  • Understand the disruptive power and use cases of deep learning that is going to add $30 trillion to global equity markets in the next decade
  • Learn how to build organizational capabilities to leverage business analytics, machine learning and artificial intelligence for competitive advantage
  • Appreciate cutting-edge issues of algorithmic bias and how to deal with it


Who should attend

  • Investors and analysts seeking alpha
  • C-suite and C-Suite minus one looking to accelerate digital transformation
  • Functional leads in Marketing, Product, Finance, IT, Operations and HR
  • Business unit heads looking to drive profitable growth
  • Chief Digital Officers, Chief Data Officers, Chief Analytics Officers
  • Managers with significant project/functional responsibility


8:30 AM onwards
  • 8:30 AM – 8:55 AM


  • 8:55 AM – 9:00 AM

    Welcome Address

  • 9:00 AM – 11:00 AM

    Session 1: Climbing the Business Analytics Summit

    • A framework for extracting business value from advanced analytics, machine learning and AI
    • The power of modern descriptive analytics and unsupervised machine learning to find patterns of interest in your data
    • Where to locate analytics in your organization
    • Case study - people analytics and detection of nepotism using anomaly detection
  • 11:00 AM – 1:00 PM

    Session 2: Prediction as a Backbone of Modern Business Analytics

    • Applications of predictive analytics using (supervised) machine learning
    • The predictive modeling framework
    • Classes of major models such as decision trees, k-nearest neighbours and logistic regression
    • Key metrics for model evaluation including fairness
    • Case study - predicting income to make credit card decisions
  • 1:00 PM – Onwards

    End of Day 1

8:55 AM onwards
  • 8:55 AM – 9:00 AM

    Recap of Day 1

  • 9:00 AM – 11:00 AM

    Session 3: Advanced Models and Use Cases of Prediction

    • Improving model performance using advanced concepts bagging, boosting and stack
    • Neural networks and building blocks of AI
    • What is deep learning and why is it important?
    • Explainability-accuracy tradeoff
    • Case study - Targeted marketing and causal lift for ROI
  • 11:00 AM – 1:00 PM

    Session 4: Textual Data and Natural Language Models

    • Dealing with non-numeric data such as textual data
    • Embeddings and GPT-3 style language models
    • Applications of text, voice and image analytics
    • Case study - detecting fake reviews on Trip advisor
  • 1:00 PM – Onwards

    Training concludes



Dr. Ravi Bapna

Curtis L. Carlson Chair Professor in Business Analytics and Information Systems, Associate Dean for Executive Education, Academic Director, Carlson Analytics Lab, Carlson School of Management, University of Minnesota

Ravi Bapna currently serves as the Curtis L. Carlson Chair in Business Analytics and Information Systems, Associate Dean for Executive Education and the Academic Director of the Carlson Analytics Lab and the Analytics for Good Institute at the University of Minnesota’s Carlson School of Management. He has also served as Chief Data Scientist at Mississippi River Capital LLC, a Minneapolis based hedge fund. He is one of the foremost exponents of engaged scholarship that involves the full cycle of partnering with companies to conduct top-tier research, impacting practice, and taking the learning back into the classroom via executive teaching, writing teaching cases and running the Carlson Analytics Lab experiential program.

Bapna has been teaching executives at Carlson, NYU, ISB and other leading business schools since 2008. His core topics are digital strategy and transformation, digital and social media marketing, advanced analytics, ML and AI. He started the CIO Academy at the Indian School of Business and has done open and custom executive education in partnership with WU Executive Academy, Vienna, Tsinghua University, and the Indian School of Business. He regularly keynotes corporate leadership events.

Bapna’s career is built on very deep corporate partnerships that have been of mutual benefit to all parties involved. He has been a pioneer of online auctions research. He created and ran, a real-world sniping agent for eBay auctions, to accurately estimate consumer surplus. Bapna was invited to present this at the Federal Trade Commission in addition to a variety of leading universities. Bapna is one of the foremost proponents of the gold-standard method of randomized field experiments in social media, partnering with companies such as OkCupid,, and others to develop new knowledge and impact practice. His research in this arena had significant impact in deconstructing how social media can be used to create economic and social value, and has been featured widely in the media (including, FT, NPR, Star Tribune, CBS, USA Today, ABC among other) and invited keynote talks at companies around the world (3M, Google, Facebook, Carlson Wagonlit Travel and Cargill among others). This work not only has had a huge theoretical impact in uncovering important causal mechanisms in important areas such as online dating and peer influence, but has had a huge impact on practice and teaching at the MBA and executive level.

Most recently he has been helping some pioneering ecommerce companies take their referral marketing to the next level. Referral programs are designed to accelerate organic word-of-mouth (WOM) exposure using financial incentives. He uses large scale RCTs to determine how firms can benefit from framing calls-to-action for referral programs in such a way as to move closer to the original intent of organic, intrinsically motivated, WOM marketing, and yet at the same time reap the benefits of using a financial incentive to increase referral rates. The research based approach is now the basis of the ongoing referral marketing program at, a major online retailer in the printed products category in the US.

As the academic director of the Carlson Analytics Lab since fall of 2015, he has led close to $2.8 million of analytics consulting that spans descriptive, predictive, causal and prescriptive analytics across 54 companies in 14 industries and all possible functions.

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Individual Ticket

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Cancellation Policy:

Refund and Substitution Policy (Differ from one programme to other, please read carefully): No refunds will be granted for cancellations made within 15 days of the workshop. Those delegates, who have confirmed and do not attend, are liable to pay the full course fee and no refunds will be granted. Cancellation fee of 50% will be applicable 30 days prior to the workshop. Cancellation fee of 25% will be applicable up to 45 days prior to the workshop. Company reserves the right to amend content, expert, policy, venue & date(s) of the workshop. Participants will be refunded the registration fee in full in case the workshop gets cancelled. In case of refunds or cancellation mentioned above - the inward and outward Forex transaction cost (s) and currency fluctuation differential will be charged while accounting for the refund. Company assumes no liability for any costs including transportation, hotel reservations or any other costs incurred by participants in the event of cancellation.

Substitution Policy:

Substitutions within a company are permitted through the workshop/training date, request must be by email to

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