1. Data-mining applications related to customer-relations management may be of direct benefit to business. Assuming that customer data (e.g., prices paid, items bought, purchase habits, and payment methods) are collected and available, a detailed analysis could lead to an in-depth understanding of customer behavior, not available heretofore, thus allowing companies to structure customized seJJing and marketing programs to achieve better customer satisfaction, enhanced brand loyalty, and improved company profitability.
2. Refined modeling of key components in turbomachinery (e.g., compressors, blowers, and pumps) by using computational fluids dynamics programs could raise aerodynamic performance and reduce energy consumption.
3. Plant operations groups typically have encountered a significant amount of data, observations, and experience in maintaining and trouble-shooting equipment and facilities. Such information is dispersed widely, cannot be easily reapplied, and re mains useless. A data-mining application could help in getting the information organized and ferreting out valuable knowledge from the wasteful piles of raw data. Application of such knowledge could lead to productivity enhancement in plant operations.
4. To design better, safer, faster, and cheaper cars, sophisticated computer models could be devised to impact-test automobiles, instead of crash-test expensive vehicles at up to only 40 miles per hour of speed. I
It is quite certain that engineering managers will be able to envisage many other computationally intensive problems that can be processed to reap business benefits.
1. Data-mining applications related to customer-relations management may be of direct benefit to business. Assuming that customer data (e.g., prices paid, items bought, purchase habits, and payment methods) are collected and available, a detailed analysis could lead to an in-depth understanding of customer behavior, not available heretofore, thus allowing companies to structure customized seJJing and marketing programs to achieve better customer satisfaction, enhanced brand loyalty, and improved company profitability.2. Refined modeling of key components in turbomachinery (e.g., compressors, blowers, and pumps) by using computational fluids dynamics programs could raise aerodynamic performance and reduce energy consumption.3. Plant operations groups typically have encountered a significant amount of data, observations, and experience in maintaining and trouble-shooting equipment and facilities. Such information is dispersed widely, cannot be easily reapplied, and re mains useless. A data-mining application could help in getting the information organized and ferreting out valuable knowledge from the wasteful piles of raw data. Application of such knowledge could lead to productivity enhancement in plant operations.4. To design better, safer, faster, and cheaper cars, sophisticated computer models could be devised to impact-test automobiles, instead of crash-test expensive vehicles at up to only 40 miles per hour of speed. IIt is quite certain that engineering managers will be able to envisage many other computationally intensive problems that can be processed to reap business benefits.
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