All about Data, quality assurance, and even literacy.
As there’s nothing to analyze without any data, data capture is the second fundamental building block of Digital Analytics after define.
Captured data is inherently bias.
21: High level concept Reference: Domain Language <–> Vendor Features
22: Documentation: Governance & Ownership
23: Process & Tasks: Data Quality
24: Human Captured (eg event log, Campaign Tagging)
29: Good & Best Practice Guides, Tools & Vendors
“[Simo Ahava] is especially interested in communication structures within organizations, as he firmly believes that communication breakdowns are the underlying cause to practically all data-related problems.”
do you know
quality assurance, test, governance process,
who does this?
- goes back to culture
Observations are theory-laden. Someone decided what data to collect, how to collect that data, how to store that data, how to summarize that data, how to present that data. - https://twitter.com/lukasvermeer/status/1111351917421215744