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Information Quality Applied: Best Practices for Improving Business Information, Processes and Systems
book

Information Quality Applied: Best Practices for Improving Business Information, Processes and Systems

by Larry P. English
October 2009
Beginner to intermediate content levelBeginner to intermediate
839 pages
29h 16m
English
Wiley
Content preview from Information Quality Applied: Best Practices for Improving Business Information, Processes and Systems
Chapter 15 n IQ Applied to Information Management and Systems 753
Involve Knowledge Workers throughout development, including in
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Human Factors Design and active prototyping.
Reuse data — do
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not create redundant data structures.
Eliminate
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redundant data entry. Create a single “Create” application
program for data of a given type, such as Customer, Product or Order.
Create modules for subtypes as necessary, such as Personal Customer or
Organizational Customer.
Automate data capture where feasible — do
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not require people to capture
data if machines can capture it accurately.
Place data capture at the point of Knowledge Acquisition.
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Allow a value of “Unknown” or “missing” for attributes whose value may
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not be known to the information Producer at creation time.
Use Standard data Names and Labels across the Enterprise — not by
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department or Business Area.
Make Forms and Screens simple, intuitive, and unambiguous — actively
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prototype (QFD*).
Check Information capture activites for span of attention.
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Place text and check boxes unambiguously close together to prevent
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wrong selection.
Allow for explanations of anomalies in data.
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Use value selection as opposed to free-form entry where possible.
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Avoid long pick lists — break codes into multi-level codes.
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Minimize data entry keystrokes.
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Use multi-sensory techniques (dynamic color, highlighting, audio), but
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be considerate ...
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Publisher Resources

ISBN: 9780470134474Purchase book