When initiating a process improvement in your organization, you always begin with a Define or Measure stage that often involves in-depth organizational data analysis.
            
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Assessing Data Quality

9 Best Practices For Data Validation

government-agency-process-mappingWhen initiating a process improvement in your organization, you always begin with a Define or Measure stage that often involves in-depth organizational data analysis.

Yet, before you dive into the data analysis process, you need to complete a critical step: assessing data quality. Without quality data, every decision and process improvement you make is at risk, and for your business or defense agency, mistakes at that level are too costly to make.

You know that your data analysis is going to be used for decision-making, presentation and persuasion, so you need to ensure the quality of information you use for all dependent applications, analytics and final decisions.

So, during your data collection phase, put the following nine best practices for data validation into action: