Tiger Analytics helped trade executives and SRM teams to identify opportunities while enabling Accounts teams to drive growth and add value to retail partners.
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Tiger Analytics built an ML model to assess email response propensity, unveiling key drivers. It identified over 80% of potential email openers and top-decile customers.
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Tiger Analytics developed a computer vision solution identifying elements in 600 hours of 2022 Winter Olympics videos, including sports, athletes, and video segments, enhancing accuracy.
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Tiger Analytics implemented ML models to predict real-time ad inventory wins, optimizing price points, resulting in substantial cost savings, a 116% increase in click-worthy impressions prediction, and a 54% rise in wins.
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Tiger Analytics’ unified data view helped manage siloed subsystems with an enterprise data and analytics platform on Google Cloud.
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