This page presents an excerpt of the available research material, including the Preliminary Pages, Table of Contents, Abstract, Chapters One to Five, and References. It provides a comprehensive overview of the study, enhancing readability and accessibility for students, and researchers seeking complete material on “The Roles and Benefits of Data Validation in an Organizational Information System”.
I am profoundly grateful to everyone who contributed to the successful completion of this project. I am especially grateful to my Supervisor (Name), the Head of Department (Name), and the Lecturers in the Department of Data Science for their invaluable guidance and support. I also acknowledge the contributions of authors and scholars whose works on The Roles and Benefits of Data Validation in an Organizational Information System provided essential insights. Special thanks go to my study area (and any funding organizations, if applicable) for their financial assistance. I am equally thankful to stakeholders, including mentors, teachers, and colleagues, for their encouragement and support. Finally, I deeply appreciate my family and friends for their patience and unwavering support throughout this journey. Your contributions have been instrumental in making this research a reality.
1.1 Introduction
Data validation can be defined through declarative, data integrity rules or procedural based rules. Data that does not conform to these rules will negatively affect business process execution. It is also referred to the activity where one decides whether or not a particular data set is fit for a given purpose. Data validation involves the process of ensuring that a program that is developed operates on a clean, correct and useful data. The validation of this data is applied to a relational database (Arkady, 2007). Formalizing the requirements that drive this decision process allows for unambiguous communication of the requirements, automation of the decision process, and opens up ways to maintain and investigate the decision process itself. In most of the business application, data validation can be defined through declarative, data integrity rules or procedural based rules.
As a prelude to other parts of this study, this chapter will discuss the background upon which this study was initiated, the statement of problems that led to this study, the Aim and Objectives of the study. Others are Significance of the study, Scope of work, Research hypothesis and questions, Limitation of the study and Definition of terms.
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