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Your database is a mess Many of the names and addresses are wrong Many entries lack phone numbers or email names Cleaning it up will be costly But wait a minute Why clean it all up Why not clean up only the easiest 80 percent Your programmers will tell you that those 80 percent can be cleaned up in an afternoon Getting the remaining 20 percent correct will take several months Go ahead and clean up the 80 percent right now Get it done Then clean up the remaining 20 percent at your leisure, in the most inexpensive way possible or, better yet,.

DLL). Macrolike languages, on the other hand, are not as flexible, greatly limiting their usefulness to the advanced system developer. In our view, the ability to access modules written in other languages is absolutely crucial: Different languages have different expressive foci, and even with a powerful language like C+ +, it sometimes makes sense to write one or more modules in another lan guage such as Prolog (a language designed for writing expert systems). One additional design issue, unrelated to the language employed, is relevant when discussing simulator power: whether a simulator can work with whole portfolios as well as with individual tradables. Many products are not designed to perform simulations and optimizations on whole portfolios at once, although sometimes addons are available that make it possible to generate portfolio performance analyses after the fact. On the other hand, an appropriately designed simulator can make multiple-account or portfolio simulations and system optimizations straightforward. RELIABILITY OF SIMULATORS

Trading simulators vary in their reliability and trustworthiness. No complex software, and that includes trading simulation software, is completely bug-free. This is true even for reputable vendors with great products. Other problems pertain to the assumptions made regarding ambiguous situations in which any of several orders could be executed in any of several sequences during a bar. Some of these items, e.g., the so-called bouncing tick (Ruggiero, 1998), can make it seem like the best system ever had been discovered when, in fact, it could bankrupt any trader. It seems better that a simulator makes worst-case assumptions in ambiguous situations: this way, when actual trading begins, there is greater likelihood of having

apply the 80 percent rule to them. What does that mean Run through the remaining 20 percent of bad addresses and pick out the Gold customers. Clean those up. As for the rest, forget about them for now. You want to send out emails to your customers. But some of them are on AOL and can read only text. Others can read HTML. Still others want their copy in Spanish. It is a big job, costing a lot of money and resources. How can you solve this problem Use the 80 percent rule. Pick the easiest 80 percent of your customers and get your message off to them right away. If you have a consumer database, AOL probably represents 80 percent. If it is a business-to-business (B2B) database, 80 percent can probably read HTML. Design your email for the 80 percent and get something done now. If the email is a success, then gure out how to reach the remaining 20 percent. If it is a failure, don t bother with the remainder. Either way, you have kept your costs down.

a pleasant, rather than an unpleasant, surprise. All of this boils down to the fact that when choosing a simulator, select one that has been carefully debugged, that has a proven track record of reliability, and in which the assumptions and handling of ambiguous situations are explicitly stated. In addition, learn the simulator s quirks and how to work around them.