Data preparation and analysis skills
The foundation of an effective AI-driven strategy lies in proper data preparation. This process involves a comprehensive approach to data preparation.
data structure
You need a system to manage data input and denmark email list optimize data for more accessible AI analysis.
Create a consistent data storage format, develop standardized taxonomies, and establish clear categories that work for everyone.
Collect data from multiple sources
During the collection phase, data is collected from all relevant sources to ensure comprehensive coverage.
Slack conversation
Excel spreadsheet
HubSpot records
Email newsletter
Customer interviews
sales records
When transferring data, record data provenance, metadata, and context to maintain data integrity.
Adams shares an innovative way to protect sensitive data while maintaining the value of analytics—the zoo metaphor.
Strategic Artificial Intelligence Analysis Thorn Bud Rose Framework
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