All data that is collected and stored by the organization should undergo some form of evaluation and assessment for accuracy and completeness before it is accepted for business or planning purposes. Data quality assurance focuses on preventing defects in the data that is collected and used; whereas quality control focuses on correcting defects that occur. In general, a small water company should develop procedures for collecting and storing data to minimize the possibility that defects occur in handling the data. Processes are simplified if data collection occurs using instrumentation, such that human error in handling and manipulation is minimized[1]. Following trends in water production, water treatment and water use can be used to identify inaccuracies in meter readings, meter inaccuracies, and changes in system conditions (e.g., finding a leak). Therefore, water organizations should establish policies and procedures for collecting, storing and using those data listed above.
[1] For this reason, electronic collection of customer water use data is better than meter data collected by hand using hand written notes – since handwriting can be misread, and incorrectly transcribed.