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Business Intelligence Data Mining

Business intelligence data mining describes software and practices in which data mining applications and techniques are used for the purpose of identifying business trends and data.  Through business intelligence data mining companies can identify key patterns in their customer and other in-house data that may not be obvious through normal reporting.  Business intelligence data mining can also be used to create profiles of key business metrics that can be used to help forecasting or to mitigate risk.

Benefits of Business Intelligence Data Mining

Business intelligence data mining can provide a number of significant benefits to an organization.  Through business intelligence data mining companies can create descriptive profiles of key business metrics.  For example, through business intelligence data mining a company might build the profile of a customer who is likely to pay beyond 120 days to help identify late paying customers before they become later payers.  Through business intelligence data mining companies can identify high risk to the organization and put in place strategies and policies that can help minimize or often even eliminate that risks.  While the use of business intelligence data mining in small businesses has not been prevalent over the years due to cost concerns, there are new tools in the market like EMANIO's Insight! business intelligence data mining product that can provide most of the benefits of higher end tools at substantially reduced prices.

Business Intelligence Data Mining Tools

There are a number of business intelligence data mining tools in the market place but most can be classified in two areas.  Enterprise business intelligence data mining products are offered primarily by two companies, SAS and SPSS.  SPSS is by far the established leader in enterprise-grade business intelligence data mining with their Clementine product.  The Clementine business intelligence data mining family has a number of features that can help organizations better understand their business.  The biggest issue with business intelligence data mining from companies like SPSS and SAS is cost - with most implementations for such systems running well over $100,000 these business intelligence data mining tools have traditionally been used only by enterprise organizations.  New tools are becoming available, however, from companies like EMANIO that can provide many of the benefits of business intelligence data mining for as little as $6,000.

Business Intelligence Data Mining and Data Warehouses

One tool that business intelligence data mining products often require is the data warehouse.  A data warehouse is used in business intelligence data mining to help solve two critical problems.  The first is the problem of data availability.  Since business intelligence data mining tools need to perform very complex calculations on data, IT managers have historically been hesitant to allow business intelligence data mining software access to production databases like ERP or accounting systems.  By pooling the vital data into a dedicated database (the data warehouse), this problems is eliminated.  The second issue that can impact the use of business intelligence data mining has been the kind of data that is available.  Specifically, not all fields available in the ERP system for example might be good candidates for business intelligence data mining.  By creating a data warehouse the IT department can export only the fields and data that is going to be beneficial to business intelligence data mining, improving performance and quality of results.

Business Intelligence Data Mining and Excel

For small businesses the question that is often unanswered is - what about Excel?  Microsoft Excel is by far the most used business intelligence tool in small businesses and many organizations want to use their excel spreadsheets for further analysis.  Until recently business intelligence data mining with Excel files was relegated to the world of enterprise organizations because of cost.  While it may be feasible to build business intelligence data mining algorithms into an excel spreadsheet, the process would be horrendously tedious and time consuming.  New products, however, like Insight! provide users with the ability to quickly and easily apply business intelligence data mining to their excel data, giving access to sophisticated forecasting and risk mitigation techniques to any size business.

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