Visualizations provide a great tool for gaining the initial insights into data, which can be further refined based on expert opinions. Visualizations also aid in generating ideas for obscured business problems, which can be pursued in build ing predictive models What is a classification problem? Classification is a technique used in developing pred ictive analytical applications In this example, various kinds of data, such as severity of injury and healing time, were classified for purposes of making decisions about how to handle injuries and which players might be available to play in the future 4. What can be derived by performing sequence analysis Drawing sequel nce rules can predict the relationship among types of data-in thi case, the relationship among the injuries and the various body parts afflicted with Application Case 1.5: A Specialty Steel Bar Company Uses Analytics to Determine Available-to-Promise dates Why would reallocation of inventory from one customer to another be a major issue for discussion? This would be an important consideration because of promised delivery times and potential penalties if deliveries were missed for existing/previous customers How could a Dss help make these decisions? A DSS would have the ability to examine all current stocks of goods(as well as incoming stocks) and perform cost-benefit analysis on potential changes to existing delivery promises Application Case 1.6: CenterPoint Energy Uses Real-Time Big Data Analytics to Improve customer service Copyright C2018 Pearson Education, Inc.14 Copyright © 2018Pearson Education, Inc. Visualizations provide a great tool for gaining the initial insights into data, which can be further refined based on expert opinions. Visualizations also aid in generating ideas for obscured business problems, which can be pursued in building predictive models. 3. What is a classification problem? Classification is a technique used in developing predictive analytical applications. In this example, various kinds of data, such as severity of injury and healing time, were classified for purposes of making decisions about how to handle injuries and which players might be available to play in the future. 4. What can be derived by performing sequence analysis? Drawing sequence rules can predict the relationship among types of data—in this case, the relationship among the injuries and the various body parts afflicted with injuries. Application Case 1.5: A Specialty Steel Bar Company Uses Analytics to Determine Available-to-Promise Dates 1. Why would reallocation of inventory from one customer to another be a major issue for discussion? This would be an important consideration because of promised delivery times, and potential penalties if deliveries were missed for existing/previous customers. 2. How could a DSS help make these decisions? A DSS would have the ability to examine all current stocks of goods (as well as incoming stocks) and perform cost-benefit analysis on potential changes to existing delivery promises. Application Case 1.6: CenterPoint Energy Uses Real-Time Big Data Analytics to Improve Customer Service