INTRODUCTION TO DATA PROCESSING
DATA PROCESSING SSS1 FIRST TERM
WEEK 1
INTRODUCTION TO DATA PROCESSING
Contents
In this chapter, you shall learn about what is data and information; the difference between data and information. Attempt to distinguish between manual and electronic data processing.
DEFINITION OF DATA
The term data means any basic fact which may be input into some processing system. A processing system is one where computations, comparisons and general manipulation of data are done. The processing may be people or machines e.g the computer.
Information, on the other hand, is the end – result of a processing system. The information is needed by management for decision-making. The relationship between data and information is shown in the diagram below:
INPUT PROCESSING OUTPUT
WHAT IS DATA PROCESSING?
Data processing is the task of using a collection of basic facts to produce information, usually, it has no value in itself until it is subjected to analysis, validations and comparisons with other data to produce results (information), for example, a collection of weights of individuals do not turn useful information for decision making.
However, when the set of data is processed such as searching for an individual with a maximum or minimum weight or the weight of all concerned in the study, information is produced.
Management can decide on the basis of each piece of information to assign special duties to the fellow with the maximum or minimum weight. Other use could be made on such information depending upon the situation prevailing in the organization and their special needs.
Therefore, data processing is an operation on computer data which involves the entering, sorting, updating and retrieving of information using the computer.
PROPERTIES OF DATA
- Collected/Captured
- Prepared
- Presented
- Precise
- Complete
- Accurate
- Purposeful
- Assigned
DATA PROCESSING CYCLE
The data processing cycle describes the stages of data processing. It involves the following stages:
- Data gathering
- Data collation
- Input stage
- Processing stage
- Storage stage
- Output stage
Element of data processing;
INPUT PROCESSING OUTPUT
Data is often required for various purposes. Even the same item of data may be used in a great variety of ways depending on the user’s objectives.
Most data processing work may be viewed as consisting of data, processor and output. Usually, storage also features since both data and program instructions need to be stored.
EVALUATION
- Differentiate between data and information
- Define data processing
DATA PROCESSING ACTIVITIES
Data processing activities involve the following:
- INPUT: involves three steps; collection, verification/validation and coding
- PROCESSING: involves classification, sorting, calculating, converting and storing
- OUTPUT: involves retrieving, converting and communicating.
INPUT ACTIVITY
- COLLECTION: involves gathering data from various sources and assembling it at one location.
- VERIFICATION/VALIDATION: after data have been gathered, their accuracy and completeness must be checked. This is an important step that helps to eliminate the possibility of Garbage-In – Garbage-out(GIGO)
- CODE: data must be converted into machine readable form so that it can be entered into the processing system. Entering data via a computer terminal and keyboard is one example of coding.
PROCESSING ACTIVITY
a) CLASSIFICATION: Classification involves categorizing data according to certain characteristics to make it meaningful to the user. For example, sales data can be grouped according to the salesperson, product type, customer or any other classification useful to management.
b) SORT: This involves arranging the grouped data element into the predetermined sequence to facilitate processing. For example, an employee number can be last. Sorting can be done on numbers, letters, special characters or a combination of them. After it has been classified, data may be stored.
c) CALCULATION: The arithmetical or logical manipulation of data is referred to as calculation. Examples include the computation of students’ grade–point averages, customers’ bank balances and employees’ wages.
d) SUMMARISE: reducing a large amount of data to a concise, usable form is called summarizing. The logical reduction of data is necessary to provide information that is useful.
e) STORE: this involves the storing of data not immediately needed; data could be stored on a disk, tape or CD-ROM.
OUTPUT ACTIVITY
This involves retrieving data, printing data and data communication.
IMPORTANCE OF DATA PROCESSING
The art of management is increasing as our society becomes more competitive and technologically advanced. The volume of data being generated is correspondingly increasing and becoming unmanageable. On the other hand, the need to make information available, timely and accurate is becoming more vital in the competitive world in which we have found ourselves. It is when a large volume of data is required to be processed speedily and accurately that Data Processing becomes indispensable.
GENERAL EVALUATION
- What is data processing?
- Describe a typical data processing cycle.
- Describe what is involved in each stage of data processing.
- Why is the computer a better tool for data processing?
- Discuss why data processing is important in the business organization.
READING ASSIGNMENT
Data Processing For Senior Secondary School By Hiit.
WEEKEND ASSIGNMENT
- ……….is a basic fact that needs to undergo processing. A. information B. data C. output D. input
- The methodology of converting data into information is A. data and information B. data processing C. decision making D. none of the above
- The major reason for data processing is A. decision making B. conflict promotion C. information generation D. data manipulation
- In data processing, input activity involves A. collection B. verification C. retrieving D. all of the above.
- One of these is not data property A. presentation B. collection C. misuse D. accuracy
THEORY
- What is data processing?
- Describe and explain a typical data processing cycle.