How are you developing the data literacy of your organization, including the skills of your data teams and of your business stakeholders?
I have a comprehensive list of ways to approach and improve data literacy within UNC Health:
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Invest in the Center of Excellence (Community Analytics) model for analytics across the organization.
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Defined the role of central analytics versus the capabilities and support offerings for the community of analytics professionals and enthusiasts.
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Created data and analytics positions for the whole organization that align to training, enablement, and collaboration with IT.
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Analytics leaders forum.
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Community membership listing with skills identification.
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Established stewardship roles to drive data governance.
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Lead bi-weekly analytics community webinars to share knowledge, celebrate success, offer hard and soft skill training, and grow literacy. Jordan Morrow has been a guest speaker twice to promote data literacy.
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Multiple enablement vehicles – Chat via Teams group for over 450 teammates, consultations with an expert, and road shows to engage each of our entities’ leaders and end users.
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Bi-annual community and leader survey to evaluate the success of the programs.
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Data governance at UNC Health began by focusing on enablement.
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Stewardship roles defined and individuals identified.
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Documentation and certification of data and analytics assets for building common vocabulary and institutional trust in assets.
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The Data Governance Council defines priorities and endorses proper use and creation of clean, reusable data and supporting architecture.
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Dashboards in analytics repository must go through certification process.
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Training videos promote tools that enable literacy.
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The Analytics Community (TAC) Orientation to onboard new hires to our data and analytics ecosystem.
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AI training to inform and educate on AI.