COVID provides an opportunity to adopt a broader perspective on core concepts, to reimagine how we approach the foundational frameworks behind data management and use, to catalyse meaningful change. Feel the same, join us.
This page describes traditional data governance, when it is useful, and what it involves. It also highlights some of the limitations of a traditional approach to data governance.
This questionnaire complements the guide to ensure the best use of the Data capability framework. Look through the guide first, as it will cover the purpose of the framework and the context for its use.
Stats NZ's dashboard for March 2019 quarter which highlights key deliverables for its data leadership role under the Government Chief Data Steward function.
The following tables show the capabilities in one the 7 possible categories (i.e., capabilities get repeated across the categories as applicable). This view is useful if…
This guide provides expanded information about the Data capability framework, including the levels of capability, descriptions of use, and example use cases.
Stats NZ's quarterly data dashboard profiles key deliverables and how they contribute to the relevant visions of success:
innovation
data-driven decisions
valuable data.
The dashboard also documents the number of…
The following tables show the capabilities in one of the 7 possible categories (i.e., capabilities get repeated across the categories as applicable). This view is useful…
Stats NZ's dashboard for December 2018 quarter which highlights key deliverables for its data leadership role under the Government Chief Data Steward function.
The following tables show the capabilities in one of the 7 possible categories (i.e., capabilities get repeated across the categories as applicable). This view is useful…