Data processing algorithms can show you which advertising campaigns work well, and which ones are clunkers. They can track whether your loss-leader deals are really driving customers to your stores. They can help a new business find price-points that work, or help established businesses deal with price increases. Automated reasoning algorithms can produce thousands of web-pages for product bundles based on any specifications you like. They can determine everything from which machines work well together to which outfits clash. Big businesses know this. Target uses automated reasoning algorithms to write customized catalogs for every customer on their mailing list. Starbucks uses data processing to know when to offer treat receipts to keep their stores busy in between their rush periods. Big chain grocery stores fluctuate their prices based on data processing algorithms that tell them which loss leaders sell which big ticket items. The good news is, algorithms aren't that complicated. I've worked with small business for the past 5 years writing everything from data processing algorithms that track advertising ROI and individual sales statistics, to automated reasoning algorithms for e-commerce sites that produce thousands of product bundles and web-pages every couple of days. I'm here to level the playing field, and put big business tools into the hands of entrepreneurs. If you've got a question about your business that you don't know how to answer, if you want to track the money you spend on your business with the same level of detail that you track your stock market investments, if you're sick of sinking time into a repetitive managerial task, reach out to me here, on Guru.com