BEST PRACTICES
QUALITY ASSURANCE: 5 KEYS TO COLLECTING ACCURATE DATA High-quality data is increasingly important as more organizations transition to data-driven decision-making to manage assets. Providing a few additional resources to your operations teams can go a long way to improve the quality of your data. BY DOUGLAS DENNISTON, APPLICATION PROGRAMMER, AND MEGHAN PETERS, SENIOR BUSINESS PROCESS ANALYST, CITY OF GARLAND, TEXAS
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n enterprise asset management system helps you collect and visualize data. But human error and inconsistent processes can still create gaps in the information you rely on for decision-making. By aligning your workflows and technology with your organization’s data quality standards, you can implement a
strategic quality assurance (QA) program and alleviate the need for constant data monitoring. The most successful quality assurance programs rely on a culture of democratized, rather than governed, data quality management. The City of Garland Water Information Systems team cultivated a collaborative quality
assurance program with five key tactics: custom inboxes, clear communication, ongoing training, routine reporting, and automated GIS database checks. 1. Custom Inboxes We created tailored Cityworks inboxes for each division as well as for specific team members,
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