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Input-process-output. Input incoming data that computers read Process the operation that turns data into information Output displayed or printed information, or perhaps sound. INPUT. PROCESS. OUTPUT. . . Data, Information
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1. Knowledge, Information & Data AS Module 1 10.1
Heathcote Ch. 8
2. Input-process-output Input incoming data that computers read
Process the operation that turns data into information
Output displayed or printed information, or perhaps sound
3. Data, Information & Knowledge Data
the stream of raw facts representing events occurring in organisations
Information
data that has been processed into a useful form
Knowledge
Is concerned with how to do things, with causes and consequences
In ICT terms it is concerned with the application of rules to information
4. Knowledge Knowledge Workers
Generally people in professions
Specialised knowledge makes them experts
They create new products, or provide services, or make decisions:
Based on formal and informal rules that they have learned through training and experience
5. Knowledge 2 Knowledge-based systems (Expert Systems)
Many rules are based on probabilities
Computers can be programmed with subject knowledge
In the form of facts, rules and probabilities
These expert systems or knowledge-based systems can be used to deliver advice to a user
Typical uses are in medicine, oil exploration, finance and fault diagnosis
6. Using a knowledge base There are many on-line knowledge bases
A user will typically be asked to supply answers to a series of questions
The program will then respond:
Either with a course of action
Or with a reduced set of possible answers
Such systems exist for:
Software help
Medical help
Selection of mortgage type and repayment amounts
Etcetera
7. Sources of data Data can be collected from many sources, either:
directly - collected for a specific purpose
For example, library or payroll
Indirectly - derived from data originally collected for an entirely different purpose
Information collected from credit card use
Shopping patterns
Used to target marketing campaigns
8. Encoding information as data Encoded data may often only be meaningful when put into context by some process
For example a string of numbers may represent payroll information
Paynumber, date, start time, finish time, quantity picked
Unless you know where one field starts and the other finishes the data would be meaningless
Encoding information as data may also cause loss of precision, for example:
Encode behaviour ability or eye colour on a scale of 1 to 10
9. Quality of data To be useful, data must be:
Accurate
Up-to-date
Complete
How many web-sites can you be sure of in this respect?