It is vitally important to give data consumers an indicator of the quality of your information. This helps to build a trust in the completeness and review state related to what they are consuming. What we have implemented is real-time, includes embedded business rules and a pretty little display.So what did we do?Created a Five tiered rating system Data Quality(DQ) StateMoving through each tier means that data completeness and audited quality checks are performedAs the software application moves through its life cycle, additional data elements become mandatory, which effects the dynamically calculated ratingDQ State value exposed for interfaced consumptionShown on-screen with graphical representationWhat is involved in each DQ State tier level?DQ State 0: does not meet minimum required dataDQ State 1: Name, Business Description, Status, Manufacturer, Owner (Group/Contact)DQ State 2: State 1 plus - Host, Software Type, User (count/location), Data Classification, Technology categoriesDQ State 3: State 2 plus - Cost AssessmentDQ State 4: State 3 plus - Capability categories, Network communication details, Business Continuity detailsThis tiered approach begins to define higher quality for the data completeness as it moves up the defined levels. Not only having the blanks filled in, but the application of embedded business rules-based analysis to validate content, drives the state calculation. These are updated based on any change to any of the evaluated content.What do you do in your organization? How do you ensure that the data "freshness" is preserved?Previous topics include Application inventory, what do you capture?, Application inventory starts with a definition, Application inventory as a cost savings initiative and Application Inventory, the start of data sustainability?.>