Monitoring Once data is defined it’s key to define what monitoring looks like for your organization. Monitoring all data activities can ensure data quality standards are being followed. In many cases, this will include monthly data quality reports, reviews of duplications, and more. Organizations should develop a plan that will work for the community based on time and efficiency as well as the goals. Example: HMIS Data Quality Reports will be sent out monthly to
Apart from Data Quality improvement other considerations need to be taken into account when improving your data quality. Sometimes the data is available but other environmental situations affect data quality. Two major areas to consider consist of coordination challenges and demands/pace. Considering environmental challenges to your data quality will aid in devising creative actions to improve data quality. Coordination Challenges Coordination challenges happen when there is a breakdown in the overall system to collect the
Before building your data quality plan, a great tool to prep is a SWOT Data Analysis. It is used in the business world to assist and assess agencies to aid in decision making. SWOT analysis is a framework that identifies the strengths, weaknesses, opportunities, and threats within your external and internal view of data management. This tool is all about thinking through possible factors that can affect your data negatively and positively. Here we will
*Presentation from Data Collection & COVID-19: Learning from the Field Webinar for National Alliance to End Homelessness These are stressful times not only for the clients but for our case managers and HMIS and data teams who are not only working with the community but also caring for their families and in many cases being affected directly by COVID themselves. Making such rapid changing decisions during a crisis is big work and can be frustrating.