Data Diagnostic is a detailed assessment of your current data management practices and systems. Based on our findings, we will provide you with a clearly-defined data management strategy which outlines key areas for improvement, an alternatives analysis, recommended next steps, and estimated costs. A typical engagement also includes a working prototype of the recommended solution.
Evaluates your existing data management practices and systems to eliminate issues
Ensures you achieve maximum value from your data management practices and systems
Builds an optional prototype of your system based on analysis findings
With the workflow improvements that Sitka has helped us identify, our people can stay focused on their core mission of protecting and enhancing lands for the public to enjoy.
Katy Weil | Senior Management Analyst, Metro
It was a serious 'epiphany moment' when we saw the view of our workflows with the overlay of all the data types generated and managed throughout the year!
Jude Trapani | CSRO Habitat Coordinator, US Bureau of Reclamation
Define all stakeholders and data users; Capture motivations and needs; Understand data usage patterns and preferences; Develop personas
Capture user tasks; Map ideal business processes; Prioritize processes and tasks; Identify areas for process improvements
Analyze current data sources and structure; Document data inputs and outputs for key steps; Define data model with definitions for main objects; Cluster entities into related topic areas
Determine existing systems of record; Assess system viability to support vision; Identify missing or sub-optimal system support; Determine system responsibilities; Define interaction and interfaces between systems
Define work efforts; Prioritize and sequence changes; Identify resource needs; Estimate budget and timeline
Tell me, and I will forget. Show me, and I may remember. Involve me, and I will understand.
Confucius | 450 B.C.
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