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Key Terms and Concepts

Q9-8 What are the alternatives mining applications. Explain the potential flaw in the use of the
for publishing BI? term information that runs throughout this text.
Name four alternative types of server used for publishing busi-
ness intelligence. Explain the difference between static and using your Knowledge
dynamic reports; explain the term subscription. Describe why with priDe
dynamic reports are difficult to create. From this chapter, you know the three phases of BI analysis, and

Q9-9 2026? you have learned common techniques for acquiring, processing,
and publishing business intelligence. This knowledge will enable
Summarize the function of the credit card approval application. you to imagine innovative uses for data that your employer gen-
Explain how you think that application uses data. Summarize erates and also to know some of the constraints of such use. At
the way that unsupervised data mining could spiral out of the PRIDE, the knowledge of this chapter will help you understand
control of humans. In your opinion, is this a problem? Why or possible uses for competition and exercise data to increase ad
why not? Describe how Kurzweil’s singularity pertains to data revenue, the critical driver for the success of PRIDE Systems.

Key terms anD ConCepts

BI analysis 375 Data warehouse 380 OLAP cube 388
BI application 372 Decision support systems 373 Online analytical processing
BI server 403 Decision tree 393 (OLAP) 387
BigData 403 Dimension 387 Pig 397
Business intelligence (BI) 372 Drill down 388 Publish results 375
Business intelligence (BI) Dynamic reports 402 Pull publishing 375
systems 371 Expert systems 398 Push publishing 375
Cluster analysis 390 Expert systems shells 398 Regression analysis 391
Confidence 392 Granularity 382 Reporting application 386
Content management systems Hadoop 396 RFM analysis 386
(CMS) 399 Hyper-social knowledge Rich directory 401
Cookie 413 management 401 Semantic security 406
Cross-selling 391 If/Then rules 398 Static reports 402
Data acquisition 374 Knowledge management (KM) 397 Subscriptions 403
Data aggregator 384 Lift 393 Supervised data mining 391
Data broker 384 MapReduce 394 Support 392
Data mart 383 Market-basket analysis 391 The Singularity 405
Data mining 390 Measure 387 Third-party cookie 413
Data triangulation 406 Neural networks 391 Unsupervised data mining 390

MyMISLab ™

To complete the problems with the , go to EOC Discussion Questions in the MyLab.