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What is Clean Data

Chapter 25
Handbook of Research on Enterprise Systems
For an organization to function effectively, data needs to be easily accessible both to customer sand internal users. Data is dispersed as governments like business organizations work in silos. To make this data accessible to others data conversion is a necessity as multiple sources and input formats, inconsistent styles and complexity of data structures. For any new system to get started it is necessary to convert the existing data from legacy systems or manual records to fit into the new data structures. This is a critical factor in ERP implementation projects. By clean data it is meant that there are no duplicates definitions of data which cause inconsistency.
Published in Chapter:
E-Government and ERP: Challenges and Strategies
Gita A. Kumta (SVKM’s NMIMS University, India)
Copyright: © 2009 |Pages: 16
DOI: 10.4018/978-1-59904-859-8.ch025
Abstract
The chapter introduces the essence of ERP in government as a tool for integration of government functions which provides the basis for citizen services. It discusses the challenges faced in modernization of government “businesses” and discusses strategies for implementation. The basis of Enterprise Resource Planning (ERP) solutions is integration of functions which capture basic data through transactions to support critical administrative functions such as budgeting and financial management, revenue management, supply chain management and human resources management. Today, Enterprise solutions (ES) go beyond ERP to automate citizen-facing processes. The integration of data sources with each contact point is essential to ensure a consistent level of service. The author expects that researchers, governments and solution providers will be able to appreciate the underlying constraints and issues in implementation of ERP and hopes that the learning from industry would be useful to plan implementation of ES in government using emerging technologies.
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