2.2 Data And Information Flashcards
Data
Raw facts and figures not been processed or given context
Information
Data that has been given meaning by processing or putting in context
Knowledge
When humans apply rules to information
Way to make decisions and way to interpret information.
Factors affect quality of information
Accuracy Relevance Currency Completeness Reliability Presentation
Data validation
Length check
Presence check
Format check
Check digit
Type check
Confirms if a piece of data is a certain type
E. G. Price values must be currencies
Format check
Check if pattern or sequence of characters that have been entered are correct.
Evaluate check digit
Advantages
Checked automatically
Processed fast
Disadvantages
Input barcode- input inaccurately
Only useful for numeric data
C+C hash and control totals
Both only apply to batches of data
Both worked on in advance.
Control total creates information that has a useful meaning in itself.
Hash total creates information which has no instrinct value.
How control total preferable to a hash total when validating input of following data
Candidate numbers and exam scores for 100 pupils
Control total preferable- information it creates is useful as it has a meaning in itself.
Eg. Adding up all the scores is useful info.
Hash total would mean information has no instrinct meaning.
Eg. Adding up the value off all candidate numbers in an exam which no one would ever need to know.
Two differences between data validation and data verification
Data verification is an attempt to ensure that data is consistent with its source and hasn’t been corrupted.
Involves using double entry and proof reading to ensure data is correct
Human has to proof read or re enter.
Data validation ensure data is sensible, reasonable, within boundaries and complete.
Involves using number of checks eg. Length and presence check. To make sure data is correct.
Automatic on data entry.
Evaluate use of data validation and verification when inputting following data.
Candidate numbers and exam scores for 100 pupils.
Useful in ways to ensure that data entered is correct and feasible.
Using data validation on the candidate numbers and exam scores will ensure while data is being entered it is the correct data.
Type check we can ensure that data entered Is of right type e. G. Candidates numbers are numbers.
Presence check useful as ensures nobody’s grade is left blank.
Verification- e. G. Proof reading- allows user to confirm they have read data to check its accuracy.
Helpful as it means that user can enter correct data and makes less mistakes when entering data.