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Data Processing Concept
2.1 Introduction
Each organisation, regardless of its size or purpose, generates data to keep a record of events and transactions that take place within the business. Generating and organising this data in a useful way is called data processing. In this lesson, we shall discuss about various terms such as data, information, data processing and data processing system.
2.2 Objectives
After going through this lesson, you will be in a position to
l define the concepts of data, information and data processing
l explain various data processing activities
l utilise data processing cycle
l explain data elements, records, files and databases.
2.3 Data
The word "data" is the plural of datum, which means fact, observation, assumption or occurrence. More precisely, data are representations of facts pertaining to
people, things, ideas and events. Data are represented by symbols such as letters of the alphabets, numerals or other special symbols.
2.4 Data Processing
Data processing is the act of handling or manipulating data in some fashion. Regardless of the activities involved in it, processing tries to assign meaning to data. Thus, the ultimate goal of processing is to transform data into information.
Data processing is the process through which facts and figures are collected, assigned meaning, communicated to others and retained for future use. Hence we can define data processing as a series of actions or operations that converts data into useful information. We use the term 'data processing system' to include the resources that are used to accomplish the processing of data.
2.5 Information
Information, thus can be defined as “data that has been transformed into a meaningful and useful form for specific purposes”. In some cases data may not require any processing before constituting information. However, generally, data is not useful unless it is subjected to a process through which it is manipulated and organised, its contents analyzed and evaluated. Only then data becomes information.
There is no hard and fast rule for determining when data becomes information. A set of letters and numbers may be meaningful to one person, but may have no meaning to another. Information is identified and defined by its users.
For example, when you purchase something in a departmental store, a number of data items are put together, such as your name, address articles you bought, the number of items purchased, the price, the tax and the amount you paid. Separately, these are all data items but if you put these items together, they represent information about a business transaction.
2.6 Data Processing Activities
As discussed above, data processing consists of those activities which are necessary to transform data into information. Man has in course of time devised
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(a) Collection
Data originates in the form of events transaction or some observations. This data is then recorded in some usable form. Data may be initially recorded on paper source documents 2.2 and then converted into a machine usable form for processing. Alternatively, they may be recorded by a direct input device in a paperless, machine-readable form. Data collection is also termed as data capture.
(b) Conversion
Once the data is collected, it is converted from its source documents to a form that is more suitable for processing. The data is first codified by assigning identification codes. A code comprises of numbers, letters, special characters, or a combination of these. For example, an employee may be allotted a code as 52-53-162, his category as A class, etc. It is useful to codify data, when data requires classification. To classify means to categorize, i.e., data with similar characteristics are placed in similar categories or groups. For example, one may like to arrange accounts data according to account number or date. Hence a balance sheet can easily be prepared.
After classification of data, it is verified or checked to ensure the accuracy before processing starts.
After verification, the data is transcribed from one data medium to another. For example, in case data processing is done using a computer, the data may be transformed from source documents to machine sensible form using magnetic tape or a disk.
(c) Manipulation
Once data is collected and converted, it is ready for the manipulation function which converts data into information. Manipulation consists of following activities:
Sorting
It involves the arrangement of data items in a desired sequence. Usually, it is easier to work with data if it is arranged in a logical sequence. Most
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often, the data are arranged in alphabetical sequence. Sometimes sorting itself will transform data into information. For example, a simple act of sorting the names in alphabetical order gives meaning to a telephone directory. The directory will be practically worthless without sorting.
Business data processing extensively utilises sorting technique. Virtually all the records in business files are maintained in some logical sequence. Numeric sorting is common in computer-based processing systems because it is usually faster than alphabetical sorting.
Calculating
Arithmetic manipulation of data is called calculating. Items of recorded data can be added to one another, subtracted, divided or multiplied to create new data as shown in fig. 2.2(a). Calculation is an integral part of data processing. For example, in calculating an employee's pay, the hours worked multiplied by the hourly wage rate gives the gross pay. Based on total earning, income-tax deductions are computed and subtracted from gross-pay to arrive at net pay.
Weekly Payroll Summary Report 07/07/ Dept. Employee Name Hours Pay Gross Number Worked Rate Wages 2 170 Pankaj 34 10.00 340. 175 Rekha 32 9.00 288. 158 Param 20 5.00 100. 160 Rajesh 36 8.00 288. 165 Sanju 45 9.00 405. 159 Savini 25 3.00 75. Department 2 Total 192 1496. 4 110 Hari Om 33 7.75 255. 115 Vimla 40 9.25 370. Department 4 Total 73 625. 8 150 Dinesh 38 7.00 266. 155 Upma 40 9.45 390. 156 Arunima 32 8.50 272. 157 Ritwik 40 8.00 320. Department 8 Total 150 1,248. Company Total 415 3,369.
Fig. 2.2(a) : Weekly Payroll Summary
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mechanisms for data processing systems are file cabinets in a manual system, and electronic devices such as magnetic disks/magnetic tapes in case of computer based system. The storing activity involves storing data and information in organised manner in order to facilitate the retrieval activity. Of course, data should be stored only if the value of having them in future exceeds the storage cost.
Retrieving To retrieve means to recover or find again the stored data or information. Retrieval techniques use data storage devices. Thus data, whether in file cabinets or in computers can be recalled for further processing. Retrieval and comparison of old data gives meaning to current information.
(e) Communication Communication is the process of sharing information. Unless the information is made available to the users who need it, it is worthless. Thus, communication involves the transfer of data and information produced by the data processing system to the prospective users of such information or to another data processing system. As a result, reports and documents are prepared and delivered to the users. In electronic data processing, results are communicated through display units or terminals.
(f) Reproduction
To reproduce is to copy or duplicate data or information. This reproduction activity may be done by hand or by machine.
Intext Questions 2.
- Differentiate between the following :
(a) Data and Information (b) Data processing and Data processing system
- Define the following terms briefly:
(a) Sorting (b) Summarizing
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2.7 The Data Processing Cycle
The data processing activities described above are common to all data processing systems from manual to electronic systems. These activities can be grouped in four functional categories, viz., data input, data processing, data output and storage, constituting what is known as a data processing cycle.
(i) Input
The term input refers to the activities required to record data and to make it available for processing. The input can also include the steps necessary to check, verify and validate data contents.
Fig. 2.3 Data Processing Cycle
(ii) Processing
The term processing denotes the actual data manipulation techniques such as classifying, sorting, calculating, summarizing, comparing, etc. that convert data into information.
(iii) Output
It is a communication function which transmits the information, generated after processing of data, to persons who need the information. Sometimes output also includes decoding activity which converts the electronically generated information into human-readable form.
Communicate and Reproduce
Output
Sorting Calculating Summarizing Comparing
Data and Storage Information (^) Processing
Store and Retrieve
Collection Conversion
Input
Data
Data and Information
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2.9 Data Processing System
The activity of data processing can be viewed as a "system". According to James O'brien a system can be defined as "a group of interrelated components that seeks the attainment of a common goal by accepting inputs and producing outputs in an organised process". For example, a production system accepts raw material as input and produces finished goods as output.
Similarly, a data processing system can be viewed as a system that uses data as input and processes this data to produce information as output.
INPUT PROCESSING OUTPUT
There are many kinds of data processing systems. A manual data processing system is one that utilizes tools like pens, and filing cabinets. A mechanical data processing system uses devices such as typewriters, calculating machines and book-keeping machines. Finally, electronic data processing uses computers to automatically process data.
2.10 Data Organisation
Having discussed the Data Processing Cycle (also called Information Processing Cycle) and the components of a computer, we will now describe how data is organised before processing on a computer. Data can be arranged in a variety of ways, but a hierarchical approach to organisation is generally recommended.
lllll Data Item
A data item is the smallest unit of information stored in computer file. It is a single element used to represent a fact such as an employee's name, item price, etc. In a payroll application, the employee number 170 is a data item. PANKAJ the name is a data item.
lllll Field
Data items are physically arranged as fields in a computer file. Their length may be fixed or variable. Since all individuals have 3 digit employee numbers, a 3-digit field is required to store the particular data.
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Hence, it is a fixed field. In contrast, since customer's name vary considerably from one customer to another, a variable amount of space must be available to store this element. This can be called as variable field.
lllll Record
A record is a collection of related data items or fields. Each record normally corresponds to a specific unit of information. For example, various fields in the record, illustrated in Fig. 2.4 are employee number, employee's name, basic salary and house rent allowance. This is the data used to produce the payroll register report. The first record contains all the data concerning the employee PANKAJ. The second record contains all the data concerning the employee REKHA. Each subsequent record contains all the data for a given employee. It can be seen how each related item is grouped together to form a record.
Fig. 2.4 Data Record
lllll^ File
The collection of records is called a file. A file contains all the related records for an application. Therefore, the payroll file shown in Fig. 2. contains all records required to produce the payroll register report. Files are stored on some medium, such as floppy disk, magnetic tape or magnetic disk.
lllll Database
The collection of related files is called a database. A database contains all the related files for a particular application.
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R 1 R 2 R 3 R 4 R 5 R 6 R 7 R 8 R 9 R 10 R 11 R 12 R 13 R 14 R 15 R 16 R 17 R 18 R 19 R 20 R 21 R 22 R 23 R 24 R 25 R 26 R 27 R 28 R 29
Physical Record Physical Record^ Physical Record^ Physical Record
be located in different physical records or several logical records may be located in one physical record. For example, in case of magnetic tape, number of logical records are stored in the form of a block to increase the data transfer speed and this block is referred to as a physical record as shown in Fig. 2.
Fig. 2.6 Physical and logical Record
Intext Questions 2.
- Identify various data processing activities.
- define the various steps of data processing cycles.
2.13 What you have Learnt
In this lesson, we have learnt how raw data is converted into useful information. The importance of computer in carrying out the various data processing activities has been explained. Discussion about hierarchy of data is also included in this lesson.
2.14 Terminal Questions
- Define the terms data, data processing and information.
- Identify various activities involved in manipulation.
- Write down the various computer processing operations briefly.
- How data is organised before processing on a computer starts? Discuss briefly.
Inter Block Gap (IBG)
IBG IBG^ IBG
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2.15 Feed back to In-Text Questions
In-Text Questions 2.
- (a) The word "data" is the plural of datum which means fact, observation, assumption or occurrence. On the other hand, information can be defined as data that has been transformed into a meaningful and useful form for specific purposes. (b) Data processing is the process through which facts and figures are collected, assigned meaning, communicated to other and retained for future use. It is a series of actions or operations that converts data into useful information. In data processing system, we include the resources that used to accomplish the processing of data.
- (a) It involves the arrangement of data items in a desired sequence.
(b) It means to condense or reduce masses of data to a more usable and concise form.
Intext Questions 2.
- Data processing activities are grouped under following five basic categories.
(i) Collection (ii) Conversion (iii) Manipulation (iv) Storage and retrieval (v) Communication
- The various steps involved in data processing cycle are as follows:
(i) Data input (ii) Data processing (iii) Output (iv) Storage
