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Data Mining and Predictive Analytics Data mining is a business process - a way of finding patterns in your data that provides insight you can use to conduct your business more effectively. Data mining also makes predictions to guide customer interactions and other business decisions. Data mining is not a single topic; it's a loosely related collection of tools, algorithms, techniques, and processes. Much of what's behind data mining is advanced mathematical theory and statistical inference. Data mining shines with very large collections of data. Because data is growing at such a phenomenal rate, the ability to capture and store business data has far outpaced the ability to process and utilize it. This growing challenge has produced massive, data warehouses that are effectively write-only; data is deposited to merely rest in peace. This situation is a significant waste of potential business intelligence (BI). E-commerce websites serve as a good example of how companies overlook the valuable nature of data assets and do not exploit true data mining -- significant knowledge about customer buying patterns, association rules for shopping cart analysis, and classification rules remain unexplored and unutilized. Recognizing these deficiencies, AMULET’s BI services can help. We provide professional data mining consulting services. We design, develop, and deploy custom data mining solutions to suit your specific BI needs. Through years of research experience, AMULET staff is well versed in the cross discipline nature of data mining in fields such as mathematical statistics, computer science, and visualization. AMULET utilizes advanced data mining features in Microsoft SQL Server 2005 and 2000. |
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