Page 411 - Using MIS
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Key Terms and Concepts   379
            Q8  What are the alternatives for                     occur for data mining applications. Explain the flaw in the use
            publishing BI?                                        of the term information that runs throughout this text.

            Name four alternative types of server used for publishing busi-  using Your Knowledge
            ness  intelligence. Explain the  difference  between static and   with priDe
            dynamic reports; explain the term subscription. Describe why
            dynamic reports are difficult to create.              From this chapter, you know the three phases of BI analysis,
                                                                  and you have learned common techniques for acquiring, pro-

            Q9  2025?                                             cessing, and publishing business intelligence. This knowledge
                                                                  will enable you to imagine innovative uses for data that your
            Summarize the function of the credit card approval appli-  employer generates and also to know some of the constraints
            cation. Explain how you think that application uses data.   of such use. At PRIDE, the knowledge of this chapter will help
            Summarize the way that unsupervised data mining could spi-  you understand possible uses for competition and exercise
            ral out of the control of humans. In your opinion, is this a   data to increase ad revenue, the critical driver for the success
            problem? Why or why not? Describe the singularity that could   of PRIDE Systems.





              Key termS and ConCeptS


            BI analysis   343                   Decision support systems   341      Online analytical processing
            BI application   340                Decision tree   362                   (OLAP)  356
            BI server   372                     Dimension  356                      Pig  366
            Business intelligence (BI)   340    Drill down   357                    Predictive policing   343
            Business intelligence (BI) systems   340  Dynamic reports   371         Publish results   344
            Cluster analysis   360              Expert systems   367                Pull publishing   344
            Confidence  362                     Expert systems shells   367         Push publishing   344
            Content management systems          Granularity  351                    Regression analysis   360
              (CMS)  368                        Hadoop  365                         Reporting application   355
            Cookie  381                         Hyper-social knowledge              RFM analysis   355
            Cross-selling  361                    management  370                   Rich directory   370
            Data acquisition   343              If/Then rules   367                 Semantic security   374
            Data aggregator   352               Knowledge management (KM)   366     Static reports   371
            Data broker   352                   Lift  362                           Subscriptions  372
            Data mart   354                     MapReduce  365                      Supervised data mining   360
            Data mining   359                   Market-basket analysis   361        Support  361
            Data storytelling   364             Measure  356                        The Singularity   373
            Data triangulation   374            Neural networks   360               Third-party cookie   381
            Data warehouse   349                OLAP cube   357                     Unsupervised data mining   359






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