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UTM parameter management. Inconsistent UTMs = Dirty data: “facebook” vs. “Facebook,” missing parameters, or random naming conventions lead to messy, unreliable reports. 📊 Data Management: Including data strategy, data engineering, data pipelines, AI-driven data quality, and AI-supported data governance.
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One that supports change management across every element of the current workflow that needs to evolve. The following four recommendations address how to manage these challenges. Data governance and metadata management should be directed at the enterprise level with guidance from the AI council.
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