Data in Future Cities - Improving the Quality of Analytics through Simplified Data Quality Assessment Framework
7 Pages Posted: 19 Mar 2019
Date Written: March 5, 2019
With ample data floating in and around enterprises today, Analytics has become an integral part of almost every business process, decision, and action. However, the effectiveness, efficiency, and reliability of analytics services is governed by the quality of data in information systems. Also for a smart city environment, a huge amount of data is generated from heterogeneous sources such as individuals, social media, hospitals, financial institutions, power and gas companies, water services, transport areas, and government institutions, etc. The solutions to smart/future city projects are based on such nonuniform type of data to make the city ‘future smart’. However, the systems, methodologies, processes, and tools are highly complex in nature. The aim of this paper is to propose a simplified data quality framework, method, and tools to ease future cities participants and information management stakeholders to monitor data quality towards improving the overall quality of analytics. This paper illustrates a prototype for implementation, usage and concept reusability by relevant stakeholders in the future cities program.
Keywords: Big Data Governance, Data Quality assessment framework
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