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It required a lengthy, detailed analysis to prove that Avon s supply chain wouldn t be able to handle the projected growth of the business. Even then, it took 18 months to build the business case and get executive buyin to move forward with the far-reaching changes needed. Convincing the organization to invest money that wouldn t be recouped until the later years of the transformation was a tough sell. In fact, the first two years would result in a net loss. This delayed payback was an uncomfortable notion, especially given that Avon had never invested much in the supply chain before and wanted quicker results, explains Michael Watson, director of Avon s supply chain transformation. It was very difficult getting that initial momentum going. By the time Avon started the project, however, corporate buy-in was absolute, and management had committed an extraordinary level of resources. Notes Watson, We took 45 of our best people in Europe out of their existing positions and put them into the project full time for 18 months. Removing these people from day-to-day operations was extremely

Every person living in the developed world has a data shadow of some description Your data shadow consists of the computer record of your transactions with companies, your government-held tax and social security details, the Web sites you have visited, information pertaining to your credit rating and so on Nobody s data shadow exists in one place on one computer, but in principle, somebody with the right motivations could pinpoint your movements and the private details of your life with astonishing accuracy, if the data already available were mined A part of your data shadow consists of your tastes and preferences Amazoncom already holds preference data for millions of book readers It uses this to direct them to other books that people of like mind have already enjoyed This has obvious benefits to consumers.

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One set of anomalies, however, has been identified as very promising. We have designed our investment program and valuation approach around this research. Dr. Eugene F. Fama, the leading proponent of ECMs, and Dr. Kenneth R. French designed and conducted the breakthrough study.4 The study was published in the June 1992 issue of the Journal of Finance, the world s most prestigious academic finance publication. The study compares the performance of portfolios of stocks with certain similar characteristics. For example, Fama and French grouped stocks by book-value-to-market value ratios (BV/MV) and studied their return performance over time. They also grouped stocks by earningsto-price (E/P) ratios, and by the size of stock market capitalization. The study showed, among other things, that portfolios of stocks with a high ratio of book value of equity (BE) to market value of equity (ME), consistently outperformed portfolios with low BE/ME ratios. The study also found that stocks with high earnings-to-price ratios (low price to earnings ratios) consistently outperformed portfolios of stocks with low earnings-to-price ratios (high price-to-earnings ratios) and that stocks with small market capitalization outperformed stocks with large market capitalization. This study called to question the validity of efficient capital markets and was a very troubling result for Professors Fama and French. The F&F study examines monthly stock returns during the period from July of 1963 until December of 1990 and includes nearly all of the nonfinancial stocks traded on the New York Stock Exchange, American Stock Exchange, and NASDAQ. The portion of the study that examines BE/ME ratios was designed so that, at the beginning of July

A list of favorite Web sites and the sites visited is another part of that shadow already stored, though often held privately It can be very useful for your list of favorite streaming media presentations to be available for access, no matter where you are or which device you are accessing from This would let you watch your favorite movie, for example, wherever you happen to be Indeed, what you watch, where, and when is also a part of your data shadow, which may have real commercial value and may be sold by consumers who wish to do so, in exchange for cheaper access to media, for example More advanced rights management systems could make use of this data shadow to provide more flexible licensing than the currently touted per-PC licenses.

painful, costly, and risky from a business perspective, but it was absolutely critical to success. Explains Watson, If we had tried to do this on the side with a small project team, it would never have worked and we d never be seeing the benefits we are now.

The richness of a streaming media shadow could provide tangible benefits to consumers (as well as some dangers for civil liberties and privacy) On balance, as with the Web, many consumers will consider that the benefits of having such a rich data shadow outweigh the disadvantages Indeed, rich data shadows are likely to be inevitable as more and more.

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