The Roles and Benefits of Data Validation in an Organizational Information System

The Roles and Benefits of Data Validation in an Organizational Information System

Project / Seminar Material
Reference ID: PS-26077-TM

DEDICATION

This research material titled “The Roles and Benefits of Data Validation in an Organizational Information System” is dedicated to God for his enabling grace, and to all computer enthusiasts who contributed to make life a pleasant experience during my research documentation.

ACKNOWLEDGEMENT

I extend my sincere gratitude to all those who contributed to the completion of this project. Special thanks to my Supervisor (Name of your Supervisor), the Head of Department (Name of your HOD), the Lecturers in the department of Data Science, Book Authors and Profound Scholars of existing or related project material on “The Roles and Benefits of Data Validation in an Organizational Information System” for their invaluable guidance, support, and expertise throughout the journey.

I am also grateful to your study area (mention any funding organizations, if applicable) for their financial assistance. This research would not have been possible without the encouragement and assistance of some stakeholders (mention any mentors, teachers, or colleagues). Additionally, I would like to acknowledge the understanding and patience of my family and friends during this endeavor. Your unwavering support has been a constant source of motivation. Thank you all for being part of this meaningful endeavor.


The Roles and Benefits of Data Validation in an Organizational Information System

CHAPTER ONE

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.

CHAPTER TWO

2.0 Literature Review

2.1 Introduction

This chapter focuses on the review of related literature. A literature review includes the current knowledge as well as theoretical and methodological contributions to a particular topic. It documents the state of the art with respect to the topic you are writing. It surveys the literature in the topic selected. In this research work the literature review includes the …

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