Planning the Data Collection
Decide which data sources, tools, and timeframes will be used for collection.
Title | AURORA Skincare – Planning Data Collection for #RealGlow |
Challenge | With KPIs defined, AURORA’s team now needed reliable data from six platforms. Each used different formats and access limits, making integration inconsistent and accuracy uncertain. |
Insights | Through a Data Blueprint Workshop, the team mapped every KPI to a data source, owner, and update cycle. A hybrid model balanced automation for speed with human checks for accuracy while new ethics rules ensured transparency and privacy. |
Takeaway | A clear data-collection plan gave #RealGlow structure and trust. By combining automation, verification, and ethics, the team built a foundation for consistent, high-quality analytics. |
