International Journal of Research in Social Sciences
  • Year: 2019
  • Volume: 9
  • Issue: 4

An Exploratory study on Business Data Integrity for Effective Business; a Techno Business Leadership Perspective

  • Author:
  • C. Karthikeyan1,4, Krishna2,4, Anna Benjamin3,4
  • Total Page Count: 35
  • Page Number: 167 to 201

1Director and Professor, Management, Studies, T. John College, Bangalore, Affiliated to Bangalore University, Bangalore, Karnataka

2Asst Professor, Management Studies, T. John College, Bangalore Affiliated to Bangalore University, Bangalore, Karnataka

3Asst Prof, T. John Institute of Management Science, Bangalore, Affiliated to Bangalore University

4Accredited by NAAC ‘A ’, and Approved by AICTE, New Delhi

Online published on 27 September, 2019.

Abstract

Data integrity is the maintenance of, and the assurance of the accuracy and consistency of, data over its entire life-cycle, and is a critical aspect to the design, implementation and usage of any system which stores, processes, or retrieves data. The term data integrity is broad in scope and may have widely different meanings depending on the specific context-even under the same general umbrella of computing. Data integrity is the opposite of data corruption, which is a form of data loss. The overall intent of any data integrity technique is the same: ensure data is recorded exactly as intended (such as a database correctly rejecting mutually exclusive possibilities,) and upon later retrieval, ensure the data is the same as it was when it was originally recorded. In short, data integrity aims to prevent unintentional changes to information. Data integrity is not to be confused with data security, the discipline of protecting data from unauthorized parties. Any unintended changes to data as the result of a storage, retrieval or processing operation, including malicious intent, unexpected hardware failure, and human error, is failure of data integrity. If the changes are the result of unauthorized access, it may also be a failure of data security. Depending on the data involved this could manifest itself as benign as a single pixel in an image appearing a different color than was originally recorded, to the loss of vacation pictures or a business-critical database, to even catastrophic loss of human life in a life-critical system. An example of a data-integrity mechanism is the parent-and-child relationship of related records. If a parent record owns one or more related child records all of the referential integrity processes are handled by the database itself, which automatically ensures the accuracy and integrity of the data so that no child record can exist without a parent (also called being orphaned) and that no parent loses their child records. It also ensures that no parent record can be deleted while the parent record owns any child records. All of this is handled at the database level and does not require coding integrity checks into each applications.

Keywords

Data, Integrity, Storage, Warehouse, Protecting data, Integrity Concerns, Data Security