To: Crazy Canuck who wrote (464 ) 4/11/1999 5:05:00 PM From: AriKirA Respond to of 1006
What is data mining all about? The annual report had an excellent tidbit regarding data mining. Here is a summary: Definition Technically, data mining involves the use of software to automatically explore data to identify patterns, anomalies and correlations which yield useful knowledge about trends, processes, and relationships among the data elements. At a business level, data mining involves the ongoing search for actionable business information to enhance revenues, increase efficiency and productivity, lower expenses, and improving profitability. Use and Application Data mining can be a very valuable asset in a variety of industries (financial services, telecom, retail, utilities, health care / pharma, and manufacturing being notable examples). Moreover, within specific enterprises data mining has application in a variety of contexts — from customer interfaces (sales, marketing and service) through operational interfaces (production and administration) to high level strategy. Difference between data mining and analytical tools The key technical difference between data mining and other analytical tools is that while data mining permits the automated exploration of data to reveal unknown knowledge, other analytical tools generate predefined reports or respond to specific user queries for information. Future potential Two key issues have made data mining investments — in relative terms — lower priorities on most corporate agendas. Y2K compliance has absorbed a disproportionate share of corporate technology budgets, as everyone knows. Y2K solution providers have been winners; others have been losers. Among enterprises investing in business intelligence, the bulk of free technology purchase dollars have been allocated to building the “infrastructure” required to facilitate the capture and analysis of corporate data — through data warehouses, data marts and similar projects to upgrade and modernize legacy operational systems. Much of this investment, to date, has focussed simply on getting access to operational data and being able to generate timely and useful “line of business” operational reports. As Keith mentioned in one of his earlier posts, data mining will be $1-3 billion/year market by the year 2000. IMO once everyone is Y2K compliant, companies will allocate their resources in products such as data mining softwares. Due to the growth rate of this type of industry, I think an early investment is worth a shot. Once people realize the effectiveness and usefulness of such a product, the company will get noticed and the shareholders will be rewarded for accumulating at these levels. Kind Regards AK