Architecture, quality, identity, governance, and measurement, planned deliberately.
Data architecture, quality, identity resolution, enrichment, governance, and measurement, planned deliberately rather than accumulated. This is the work that decides whether AI and reporting are trustworthy later.
It includes the parts organizations tend to defer: privacy and responsible-use planning, ownership, and how attribution will actually be measured.
Tell us what you want to measure or automate, and we will look at whether the data can support it.
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