NDLI: Data Quality Issues and Solutions for Enterprise Energy Management Applications

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Data Quality Issues and Solutions for Enterprise Energy Management Applications

Content Provider	Scilit
Author	Thompson, Greg Yeo, Jeff Tobin, Terrence
Copyright Year	2021
Description	Web-based enterprise energy management (“EEM”) systems are delivering the information and control capabilities businesses need to effectively lower energy costs and increase productivity by avoiding power-related disruptions. However, the quality of energy decisions is directly affected by the quality of the data they are based on. Just as with CRM, ERP and other business intelligence systems, EEM systems have data quality issues, issues that can seriously limit the return on investment made in energy management initiatives. Data quality problems result from a number of conditions, including the reliability and accuracy of the input method or device, the robustness of the data collection and communication topology, and the challenges with integrating large amounts of energy-related data of different types from different sources. This chapter describes how dedicated data quality tools now available for EEM applications can be used to help ensure that the intelligence on which an enterprise is basing its important energy decisions is as sound, accurate, and timely as possible. Book Name: Web Based Energy Information and Control Systems:
Related Links	https://content.taylorfrancis.com/books/download?dac=C2006-0-16299-1&isbn=9781003151173&format=googlePreviewPdf
Ending Page	446
Page Count	12
Starting Page	435
DOI	10.1201/9781003151173-40
Language	English
Publisher	Informa UK Limited
Publisher Date	2021-01-07
Access Restriction	Open
Subject Keyword	Book Name: Web Based Energy Information and Control Systems: Information Systems Intelligence Energy Management Data Quality Eem Enterprise Energy Quality Issues Based Enterprise
Content Type	Text
Resource Type	Chapter

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