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These statistics come from an extensive global survey of 1,600 decision makers in genAI strategy or data analytics in organizations across key sectors conducted by Coleman Parkes for data management and analytics vendor SAS. What we do is position ourselves as that analytical horsepower that can sit behind them.”
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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.
For instance: Senior management needs clear performance indicators like percent against sales targets or YoY comparisons. Data inputs in a media performance report, its crucial to validate conversion tracking tools, such as Adobe, Google Analytics (GA), or other platforms, to ensure confidence in performance metrics. Processing.
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