3.2 Data and Information. Overview Understand the difference between information and data. Discuss features important in form design such as: use of tick.

Slides:



Advertisements
Similar presentations
Collecting data Chapter 6. What is data? Data is raw facts and figures. In order to process data it has to be collected. The method of collecting data.
Advertisements

SADC Course in Statistics The Use of Optical Character Recognition Technology In National Statistical Offices.
Data, Information and Coding In today’s lesson we will look at: The difference between data, information and knowledge How we can code data to make it.
Presented By Md. Habibul Islam Hamdu Deprtment Of Marketing Hamdard University Bangladesh.
Commercial Data Processing Introduction. What is CDP Commercial Data Processing is the use of powerful computer systems to collect and process large volumes.
INFORMATION TECHNOLOGY Data Capture and Input Methods.
Commercial Data Processing Lesson 2: The Data Processing Cycle.
Data Capture Methods. In this topic, we will be looking at: Methods of data capture When it would be appropriate to use each method Advantages and disadvantages.
UNSD-ESCWA Regional Workshop on Census Data Processing in the ESCWA region: Contemporary technologies for data capture, methodology and practice of data.
Input to the Computer * Input * Keyboard * Pointing Devices
AUTOMATIC DATA CAPTURE  a term to describe technologies which aim to immediately identify data with 100 percent accuracy.
Complete the below… Input Complete the below… Processing Input Complete the below…
UNSD-ESCWA Regional Workshop on Census Data Processing in the ESCWA region: Contemporary technologies for data capture, methodology and practice of data.
UNSD Regional Workshop on Census Data Processing for the English speaking African Countries: Contemporary technologies for data capture, methodology and.
OCR GCSE ICT DATA CAPTURE METHODS. LESSON OVERVIEW In this lesson you will learn about the various methods of capturing data.
Chapter 12 Designing the Inputs and User Interface.
 By the end of this, you should be able to state the difference between DATE and INFORMAITON.
UNSD-ESCWA Regional Workshop on Census Data Processing in the ESCWA region: Contemporary technologies for data capture, methodology and practice of data.
Chapter 8: Systems analysis and design
Input Devices Manual and Automatic By Laura and Gracie.
Hardware Lesson 5.
Regional Workshop on the 2010 World Programme on Population and Housing Censuses: International standards, contemporary technologies for census mapping.
CDP Standard Grade1 Commercial Data Processing Standard Grade Computing Studies.
Data Capture F451 - AS Computing. Data and Information Data –Raw Facts and Figures –No structure or context Information –Structured, Organised Data –Processed.
Data Capture Overview United Nations Statistics Division
Topics Covered: Data processing and its need Data processing and its need Steps in data processing Steps in data processing Objectives of data processing.
UNSD Regional Workshop on Census Data Processing for the English speaking African Countries: Contemporary technologies for data capture, methodology and.
Data Capture Understand the concept of data encoding. Describe methods of data capture and identify appropriate contexts for their.
Data Collection Methods. After choosing a sampling method, we need to collect data from the sample selected. Can you name some data collection methods.
Collecting Data Types, coding, accuracy, file formats and the effect of data loss.
Data Capture, Input Methods, and Output Methods
By Blake Stratton. Data Chapter The questionnaire is Printed on paper. People write or tick the boxes. Someone needs to type it in the computer. Some.
Computers in the Library A database application. Input and Output Devices Input Keyboard Mouse Scanner / light pen Output VDU / screen / monitor Printer.
Data Capture.
ICT Techniques Data to Information. Data – the raw, unprocessed facts that passes through a series of operational steps to become useful and meaningful.
Pupil Records Pupil Reports Surveys Club Records Database Applications.
Review of Data Capture. Input Devices What input devices are suitable for data entry? Keyboard Voice Bar Code MICR OMR Smart Cards / Magnetic Stripe cards.
OCR CAMBRIDGE NATIONALS UNIT 1 - UNDERSTANDING COMPUTER SYSTEMS DATA CAPTURE METHODS.
Regional Workshop on the 2010 World Programme on Population and Housing Censuses: International standards, contemporary technologies for census mapping.
Regional Workshop on the 2010 World Programme on Population and Housing Censuses: International standards, contemporary technologies for census mapping.
Data Types and Storing Data. Types of Data Text Allows input of any letter, number, space, punctuation mark or special character like £ % & etc. Cannot.
OMR, OCR and MICR Software Group 2: Maaz Masood(Leader) Haris Khan Talha Mobeen Hasan Shariq.
OCR CAMBRIDGE NATIONALS UNIT 1 - UNDERSTANDING COMPUTER SYSTEMS DATA CAPTURE METHODS.
What are the advantages of using bar code scanner?  Fast  It is fast  It is fast for reading data  It is fast for data input  Accurate  The advantage.
Slide 1 A Free sample background from © 2003 By Default! HANDLING DATA IN INFORMATION SYSTEM 19 July 2005 Tuesday Lower 6.
COSTS of obtaining:- GOOD QUALITY INFORMATION 1.Data Collection Costs 2.Data Entry Costs 3.Data Processing Costs.
Hardware Lesson 5 1. Starter 2 Name these devices and explain if they are input or output devices.
UNSD-ESCWA Regional Workshop on Census Data Processing in the ESCWA region: Contemporary technologies for data capture, methodology and practice of data.
Chapter 11 Data Input and Output. Input Data Capture Forms Data can be collected using a data capture form or questionnaire that is printed on a piece.
Section 6 Advanced Version OMR Software Modules & Features
The Big Picture Things to think about What different ways are there to collect information automatically? What are the advantages and disadvantages of.
ICT IGCSE Theory – Revision Presentation The Systems Life Cycle Chapter 7: The Systems Life Cycle Analysis 7.2 Design 7.3 Development.
2.1 Basic concept of data processing 2.2 Need for electronic data processing 2.3 Examples of electronic data processing 2.4 Effect of introducing computers.
Key Stage 3 ICT. Open the ICT levels spread sheet and find the Database tab Read each orange box and answer in the white box. S TARTER.
GCSE ICT LESSON 5 Booklet Sections: 6 & 7 Data Capture & Checking Data.
Lecture on Input Devices
DATA COLLECTION Data Collection Data Verification and Validation.
MAGNETIC STRIPE READER
Designing the Inputs and User Interface
Selection and Use of Input Devices and Input Media High Volume Devices
MGT-351 Human Resource Management Chapter-04
OCR GCSE ICT Data capture methods.
OCR GCSE ICT Data capture methods.
Data Capture Process Stages
Improving assessment and feedback processes with OCR technology
Optical Data Capture: Optical Mark Recognition (OMR)
Commercial Data Processing
Data Capture F451 - AS Computing.
Electronic Data Processing
(a)(ii) Investigation
Presentation transcript:

3.2 Data and Information

Overview Understand the difference between information and data. Discuss features important in form design such as: use of tick boxes, colour, font, position, instructions. Identify advantages, disadvantages and applications for OMR and OCR.

Data Data is raw facts and figures. Data does not have meaning. Examples: 5 John A

Information Information is processed data that gives it meaning. Examples: There are 5 cows in the field. My brother’s name is John.

Gathering information Method Questionnaire Observation Reading documentation Interview

Gathering information Source Paper based Computer based Automated data capture

Sources compared Paper basedComputer basedAutomated data capture Humans enter the dataDirect data capture method Collected data is keyed into a computer Data typed in directly onto an on-line form Two methods available OCR and OMR Prone to human errorLess human errorNo processing errors Instructions need to be clear Marks need to be entered carefully Time consuming if large volumes of data Can cope with large volumes of data

FontInstructionsColourImagesPositioningMethod of answering SizeTitleSuitability Does not obscure Space required Intended audience PromptspurposeClarityLogical orderUse of tick boxes ClarityPurpose Help For each of the following features state the importance of considering them in form design.

Samples of forms

OMR Advantages Direct data capture method High speed reading of large volumes of data Accurate: No processing errors Results can be processed quickly Very little staff training required Disadvantages Forms require pre-printed boxes Forms need to be carefully filled in Requires specialised machinery to read the forms A paper based system so forms need to be carefully handled

Sample OMR form

OCR Advantages Large quantities of text can be input quickly A paper based form can be turned into an electronic one It can read handwriting Disadvantages Handwriting needs to be learnt by the computer Systems are expensive

Applications OMR National lottery School attendance mark sheets OCR Letter sorting Digitising old books

Acronyms OCROptical Character Recognition OMROptical Mark Recognition