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Online Orientation Session on

Making Money Out of Data

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  • About the Webinar


    60 mins


    May 1, 2019


    3:00 pm

    Who is the Speaker?

    Shailendra is the Chief Evangelist for Analytics and Leonardo in the APJ&GC region. He is responsible for driving innovative ideas and discussions with SAPs clients in the region.

    With an experience of over 25 years working with Corporates, Software Vendors and Consulting companies to deliver over One Billion Dollars through advanced analytics, Shailendra joined SAP in July 2017.  He has established and lead several data science businesses to generate revenue and drive incremental growth by creating multiple cognitive solutions across a variety of sectors, including High Tech, Financial Services, Retail and Public Sector.

    He has published multiple articles about analytics and cognitive solutions, and recently published an Amazon bestseller “Making Money out of Data” which showcases five business stories from various industries on how successful companies make millions of dollars in incremental value using analytics.

    Prior to joining SAP, Shailendra held senior executive level positions at IBM, Accenture, Woolworths and Coles.

    Shailendra Kumar

    Key Takeaways
    • Demystify the myths of analytics
    • Walkthrough a step-by-step approach to delivering successful projects that created an incremental value of hundreds and millions of dollars.
    • Three use cases where large organizations are using analytics to their advantage by creating value by generating incremental revenue and optimizing costs.

    Session Agenda

    In the recent past, we have learned that data is the lifeline of any business and it is really important to collect data, more and more of it. But no one is telling us what to do with large volumes of data.

    Shailendra has successfully delivered over One Billion Dollars in incremental value and will spend 30 minutes in showcasing how many large organizations are using data to their advantage by creating value through generating incremental revenue and optimizing costs using analytics techniques

    Who Should Attend?


    Computer Science Graduates

    Aspiring Machine Learning Engineers


    Aspiring Data Analysts

    Aspiring Data Scientists

    Software Engineers