5 Key Mistakes to Avoid in Data Strategy: Insights from an Expert

Starting with Metrics Instead of a Goal

The importance of starting with a clear goal or hypothesis instead of getting lost in metrics.

Rampant Personalization

The importance of starting with a clear goal or hypothesis instead of getting lost in metrics.

Hiring a Dedicated Data Scientist

Discuss how a broader skillset across the team can lead to better analysis and strategy.

Chasing After the Latest Toolset

Highlight the dangers of relying too heavily on the latest tools without clear data definitions and consistent events