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Department of Employment Services
 

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DataWorks Project

DataWorks

What is DataWorks

DataWorks is the DOES project that will improve, standardize, and modernize data management and data use practices at DOES to ensure that:

  • Data are accurate, reliable, and maintained by high-quality systems
  • Data are readily available and consistently used to make well-informed decisions
  • Appropriate and accurate data are regular released to the public, improving transparency and confidence in DOES and our data

Why are We Doing This / Why is DataWorks Important?

  1. DOES has been unable to consistently provide accurate metrics and data in testimonies and reports.
  2. Data are siloed in separate systems with no common data standard and little to no integration.
  3. There is a consistent lack of business and technical documentation for most programs and data systems.
  4. There are no consistent policies or procedures that govern how DOES data are managed and/or used.

What are the Goals of DataWorks?

  • Internal goals
    • Establish a data governance program
    • Perform a comprehensive data gap analysis
    • Design a master data architecture
    • Create a data warehouse for all DOES data assets
    • Develop a front-end application to the data warehouse to allow staff to quickly access all workforce data and monitor program status in real-time
  • External goals
    • Create a public portal to help residents make more informed decisions about workforce opportunities
    • Improve interagency data integration

How Long Will It Take to Realize the DataWorks Goals?

The DataWorks project will take 2 ½ to 3 years to fully complete, but there will be incremental changes and progress during that time with major milestones throughout the course of the project.

What are Some of the First Year Milestons of DataWorks?

  • Release a sustainable business glossary solution
  • Release a complete data asset inventory
  • Create data dictionaries for all data assets
  • Create business process maps for all programs
  • Establish a data governance program
  • Create/adopt an agency data standard
  • Draft architecture and models for the data warehouse

View the Future State of Data at DOES