Question

Different between mechanical data precessing and manual data precessing

Answer 1

Answer:

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Explanation:

Difference between "manual data processing and electronic data processing": Manual data processing requires humans to "manage and process the data". It requires more effort and cost. ... Electronic data processing is a frequent term used term automatic information processing

Answer 2

Answer:

DATA PROCESSING CYCLE

Introduction

Data procesing refers to the transformating raw data into meaningful output.

Data can be done manually using a pen and paper, mechanically using simple devices eg typewritter or electronically using modern dat processing toolseg computers

Data collection involves getting the data/facts needed for processing from the point of its origin to the computer

Data Input- the collected data is converted into machine-readable form by an input device, and send into the machine.

Processing is the transformation of the input data to a more meaningful form (information) in the CPU

Output is the production of the required information, which may be input in future.

Related image

The difference between data collection and data capture.

Data capture is the process of obtaining data in a computer-sensible form for at the point of origin (the source document itself is prepared in a machine-sensible form for input)

Data collection involves getting the original data to the ‘processing centre’, transcribing it, converting it from one medium to another, and finally getting it into the computer.

Relevance of the term garbage in garbage out (GIGO) in reference to errors in data processing.

The accuracy of the data entered in the computer directly determines the accuracy of the information given out.

Give and explain two transcription and two computational errors committed during data processing.

Misreading errors: -they occur when the user reads source document incorrectly, thus entering wrong values, e.g. a user may confuse 5 in the number 586 with S, and type S86 instead.

Transposition errors: - they result from incorrect arrangement of characters (i.e., putting characters in the wrong order especially when keying data onto a diskette), e.g. the user may enter 396 instead of 369 computational errors

Overflow errors: -An overflow occurs if the result from a calculation is too large to fit in the allocated memory space, e.g., if the allocated memory space is able to store an 8-bit character, then an overflow will occur if the result of the calculation gives a 9-bit number.

Underflow

Truncation: 0.784969 784

Rounding error:30.6666 7

Algorithm or ,logical errors

Data integrity.

Data integrity refers to the dependability, timeliness, availability, relevance, accuracy & completeness of data/information

Threats to data integrity

Explanation:

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