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xvi CoNtENtS
mashups 421
designing queries 421
Query Types 421 / Query Methods 424
Consulting opportunity 14.6 Hey, Look Me Over (Reprise) 425
summary 426
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hYPERCASE EXPERiENCE 14 427
Keywords and Phrases 428
review Questions 428
ProBlems 429
grouP ProjeCts 430
seleCted BiBliograPhy 431
part v qualIty aSSurance and ImplementatIon 433
15 deSIgnIng accurate data entry procedureS 433
effective coding 434
Keeping Track of Something 434 / Classifying Information 435 / Concealing Information
437 / Revealing Information 437 / Requesting Appropriate Action 439 / General
Guidelines for Coding 439
Consulting opportunity 15.1 It’s a Wilderness in Here 440
Consulting opportunity 15.2 Catching a Summer Code 442
effective and efficient data capture 442
Deciding What to Capture 442 / Letting the Computer Do the Rest 443 / Avoiding
Bottlenecks and Extra Steps 443 / Starting with a Good Form 444 / Choosing a Data
Entry Method 444
ensuring data quality through Input validation 448
Consulting opportunity 15.3 To Enter or Not to Enter: That Is the Question 449
Validating Input Transactions 450 / Validating Input Data 450 / The Process of Validation 452
data accuracy advantages in ecommerce environments 453
Customers Keying Their Own Data 453 / Storing Data for Later Use 453
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hYPERCASE EXPERiENCE 15 454
Using Data through the Order Fulfillment Process 454 / Providing Feedback to Customers 454
summary 455
Keywords and Phrases 455
review Questions 456
ProBlems 456
grouP ProjeCts 458
seleCted BiBliograPhy 459
16 qualIty aSSurance and ImplementatIon 460
the total quality management approach 461
Six Sigma 461 / Responsibility for Total Quality Management 461 / Structured
Walkthrough 462 / Top-Down Systems Design and Development 463
Consulting opportunity 16.1 The Quality of MIS Is Not Strained 464
MAC APPEAL 465
Using Structure Charts to Design Modular Systems 465
Service-Oriented Architecture (SOA) 467
documentation approaches 468