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Business Objects (@ SYSCO) Prediction Markets at Google

Business Objects (@ SYSCO) Prediction Markets at Google. MIS 501. SYSCO. A large food service vender with locations spread across NA Decentralized structure with autonomy at local divisions. Mission and Vision.

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Business Objects (@ SYSCO) Prediction Markets at Google

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  1. Business Objects (@SYSCO) Prediction Markets at Google MIS 501

  2. SYSCO • A large food service vender with locations spread across NA • Decentralized structure with autonomy at local divisions

  3. Mission and Vision • Our path is defined by our specific Mission and Vision statements which guide Sysco associates every day. Our strategy to achieve our Mission and Vision encompasses five points: • Profoundly enrich the experience of doing business with Sysco • Continuously improve productivity in all areas of our business • Expand our portfolio of products and services by initiating a customer-centric innovation program • Explore, assess and pursue new businesses and markets • Develop and effectively integrate a comprehensive, enterprise-wide talent management process

  4. SYSCO • More than 400,000 clients • Wide line of products • Sysco brands • Meat and Seafood brands • Specialty products • Services

  5. Business Objects • Why did SYSCO want to implement Business Intelligence (BI) software?  • What are the potential benefits of this type of software?  • What types of companies are likely to benefit from the use of BI?  • What types of firms aren't as likely to benefit?

  6. BI Options

  7. Business Objects • What obstacles will SYSCO face as the BI software is spread through the firm?   • Organizational • Political • Individual

  8. Business Objects • Why did SYSCO only focus on 2 questions initially?  • Why were they supported by Business Objects?  • What are the risks and potential benefits of this approach?

  9. Business Objects • Can SYSCO gain a strategic advantage through the use of BI software? • How hard would it be for a competitor to copy SYSCO's BI solution? • How about the ERP Solution? Does that offer differentiation?

  10. Business Intelligence • Which types of companies are likely to benefit for Business Intelligence? • Who would likely not benefit?

  11. 2 Questions! • Why did they only focus on two questions? • Do you think it was just because these are important areas for SYSCO? • What other considerations might Ms. Day be evaluating?

  12. Business Objects • Which of the alternative implementation strategies should SYSCO follow? • How will Ms. Day know if she makes the correct choice? • In other words, what are the metrics for defining success?

  13. Googles: Prediction Markets • What are Prediction Markets? • What are their components? • How do they work? • What is similar and unique relative to other markets? • What do they tell us?

  14. Prediction Markets • What does the price of a “stock” mean? • What information is conveyed by the price?

  15. Prediction Markets • Why or why wouldn’t prediction markets be better than … • Polling? • Experts? • What is different about markets compared to these other information sources?

  16. Wisdom of Crowds? • What’s the idea behind the wisdom of crowds? • Do you believe that crowds can be “wise?” • Where does this work? Where doesn’t it work?

  17. So, how should these things be run? • How do you motivate participation? • Why wouldn’t financial incentives work at Google? • What did appear to work? Why?

  18. So, how should these things be run? • Why are longshot bets a problem? • What do we want traders to focus on when trading? • Is insider trading a problem with corporate prediction markets?

  19. Prediction Market Resources • Bo Cogwell’s Blog • Prediction Markets at confab.yahoo • The Science of Success (James Surowiecki • Prediction markets (wikipedia) • Crowdcast (Video)

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