Simplest explanation on data validation/ validation rules

1. Data Validation
Auhammad
Muzaffar
Prepared by:

2. What is Data Validation?
It is the process of ensuring that a
program operates on clean, correct
and useful data. It uses routines, often
called "validation rules" or "check
routines", that check for correctness,
meaningfulness, and security of data
that are input to the system
that is the computer checks
thr data you enter and if it
is correct and make sence.

3. Methods for checking
for data validity
•Visual/manual
•Aggregation
•Reviewers guide
•Auto data checks
•Record counts
•Spell checks
•Have data
provider review

4.  Differences bt validation and
verification
 Types of validation

5. Data Type

6. How?
 List menu
 Create a validation rule
 Input mask

7. Validation types
Format check – e.g. two letters followed by two numbers
– PR15 would be valid but PRX71 would not.
Presence check – checking that the field contains any data.
Range check –checking that the data is between certain
numbers or letters, e.g. A–E.
Lookup check – checking that only values from a set list
can be entered, e.g. M or F.
Size check – checking data falls within a minimum or
maximum number of characters.

8. Validation and
Verification
Summary

9. Verification
 Is done by the user
 By entering the data twice and
comparing the values entered is a
form of verification.
 Verifying that there are no spelling
mistakes
 Correct data is entered - ie correct
name, address, postcode

10. Validation
 Is checked by software
 Is it the correct data type – date of
birth in a currency field
 Would not pick up spelling mistakes
 Would not detect incorrect data of
the same data type being entered