Abstract
Background: Water service providers invoice most South African urban consumers for the water they use every month. A secure treasury system generates water invoices at municipalities’ financial departments. Information about the water usage of customers initially comes from reading the water meters, usually located in gardens near the front boundaries of properties. Until as recently as 1990, the main purpose of the water meter readings was to generate invoices for water usage. There are various treasury systems for this purpose.Objective: The objective of this research article was to describe the development of Swift, a locally developed software tool for analysing water meter data from an information management perspective, which engineers in the water field generally use, and to assess critically the influence of Swift on published research and industry. This article focuses on water usage and the challenge of data interchange and extraction as issues that various industries face.Method: This article presents the first detailed report on Swift. It uses a detailed knowledge review and presents and summarises the findings chronologically.Results: The water meter data flow path used to be quite simple. The risk of breaches in confidentiality was limited. Technological advances over the years have led to additional knowledge coming from the same water meter readings with subsequent research outputs. However, there are also complicated data flow paths and increased risks. Users have used Swift to analyse more than two million consumers’ water meter readings to date. Studies have culminated in 10 peer-reviewed journal articles using the data. Seven of them were in the last five years.Conclusion: Swift-based data was the basis of various research studies in the past decade. Practical guidelines in the civil engineering fraternity for estimating water use in South Africa have incorporated knowledge from these studies. Developments after 1995 have increased the information processing capacity for water meter data.
Highlights
Background to water information managementWater is a scarce resource, in South Africa
Research in various fields is addressing the need to manage water use and water resources better as well as to ensure the equitable distribution of water to all South Africans. This responsibility usually rests with engineers who face increasing volumes of data from millions of water meter readings gathered over time
This study has adopted the term ‘water information management’ (WIM) from Jacobs (2008:4) because it relates to residential water usage and managing related data
Summary
Background to water information managementWater is a scarce resource, in South Africa. Research in various fields is addressing the need to manage water use and water resources better as well as to ensure the equitable distribution of water to all South Africans. This responsibility usually rests with engineers who face increasing volumes of data from millions of water meter readings gathered over time. Information about the water usage of customers initially comes from reading the water meters, usually located in gardens near the front boundaries of properties. Until as recently as 1990, the main purpose of the water meter readings was to generate invoices for water usage.
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