Future State of Data at DOES

What Does the Future State of Data at DOES Look Like?

• Source data will flow from all data systems into the data warehouse
• Controls will be in place to identify and address data errors and data quality issues as data flow into the data warehouse
• A DOES data standard will be applied to all data, allowing for easy integration and analysis across data assets
• Metrics and summary statistics will be calculated in real-time as data flow into the data warehouse
• DOES staff will be able to access data directly from the data warehouse with multiple interface options
• A data inventory (catalog) will be available for all staff, including data dictionaries and data asset metadata
• A front-end application to the data warehouse will provide interactive access to individual- and program-level data
• Staff will be able to drill down into the data from aggregate metrics to gain insights
• The data warehouse will become the source for reports, metrics, and visualizations
• DOES staff will be able to access data directly from the data warehouse and the metadata repository with multiple interface options
• A subset of data in the data warehouse will be classified as “approved for public release”
• Data that are approved for public release will be made available in the DOES public data portal
• The public data portal will provide access to pre-defined reports, data visualizations, and all DOES data that are approved for public release
• A set of data policies and procedures will be applied to all data assets and reviewed by data governance process
• Each data asset will have identified data stewards that are responsible for the management of the data asset
• Program staff will work directly with data team to develop, implement, and automate analyses and reporting