We think you have liked this presentation. If you wish to download it, please recommend it to your friends in any social system. Share buttons are a little bit lower. Thank you!
Presentation is loading. Please wait.
Published byShawn Bickham
Modified over 3 years ago
©G. Millbery 2003Data, Information, Knowledge and Processing Slide 1 Validation Making sure that the data value entered is sensible and reasonable Types of Validation: Field Presence Check Field Length Check Range Check Format/Picture Check Check Digit
©G. Millbery 2003Data, Information, Knowledge and Processing Slide 2 Types of Validation Field Presence Check Makes sure data has been entered into a field »Called a required field in MSAccess Field Length Check Checks the number of characters entered (minimum and maximum) Range Check To check that the value entered is within a pre-determined range.
©G. Millbery 2003Data, Information, Knowledge and Processing Slide 3 Types of Validation (cont.) Format/Picture Check Makes sure that the data entered follows a known pattern (e.g. Postcodes, National Insurance Numbers) Check Digit Allows a number to be self checking – the computer applies a set of rules which determines of the numbers entered are valid. (ISBN)
©G. Millbery 2003Data, Information, Knowledge and Processing Slide 4 Validation and Verification Can only ensure that the data is reasonable Cannot guarantee accuracy If the source data is wrong then the data entered into the system will also be incorrect Verification makes sure the source is the same as the object Validation makes sure the data is within acceptable boundaries Neither ensures accuracy of data
1 AQA ICT AS Level © Nelson Thornes 2008 Good quality data and information Data terms.
3.2 Data Checking.
© Boardworks Ltd of 5 Validation. © Boardworks Ltd of 5 Teacher’s notes included in the Notes Page Flash activity. These activities are.
Data Verification and Validation
AS computing Validation and verification. Introduction It is important to maintain the integrity of any database of information. Any data item must always.
© Boardworks Ltd of 9 Validation. © Boardworks Ltd of 9 Teacher’s notes included in the Notes Page Flash activity. These activities are.
© Boardworks Ltd of 9 Validation. © Boardworks Ltd of 9 TASK 1 – MINI Test Complete the mini test. The mark will be going towards a Sims.
Data Capture Forms What are they?. Example 1 Example 2.
Chapter 3 Data Control Ensure the Accurate and Complete data is entering into the data processing system.
RNJ 10/02/091 3 Computing System Fundamentals 3.6 Errors Prevention and Detection.
OCR ICT for AS © Hodder Education 2008 Chapter 1 Data, information, knowledge and processing.
System Development Lifecycle Verification and Validation.
Commercial Data Processing Lesson 3: Data Validation.
Verification & Validation. Batch processing In a batch processing system, documents such as sales orders are collected into batches of typically 50 documents.
Encoding, Validation and Verification Chapter 1. Introduction This presentation covers the following: – Data encoding – Data validation – Data verification.
What is Validation Understanding Validation (Different from Verification)
©G. Millbery 2003Data, Information, Knowledge and Processing Slide 1 Testing Every system must be reliable and the data it produces trusted This is.
GCSE ICT Checking data. Why do errors happen? Computers do not make mistakes. However if incorrect data is put in errors happen. In ICT this is called.
Validation and Verification
Objectives of Control The objectives of control are: To ensure that all data are processed To preserve the integrity of maintained data To detect,
© 2017 SlidePlayer.com Inc. All rights reserved.