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Post by juthi52943 on Dec 27, 2023 21:28:56 GMT -6
It's simply real, real-time data, visualized and rich in actionable insights. They can therefore be predictive of new consumption trends and changing buyer preferences. Data science will always be applied in the data industry. The opportunity is to apply this science to real data rather than data that has already been modeled in some way. Applying data science that has already been modeled can dilute the authenticity and value of the original data. Perhaps Steven Casey said it best in his team's speech. Forrester Job Function Email List Report : Businesses should “pay more attention to what your prospects do than what they say” [emphasis added]. Real data on behavior and interests helps teams do just that. In a world already cluttered with data, the opportunity is to reveal hidden value. Adding successive layers of analytics, modeling, and other data science can mask. Weaken this value.When an advertising campaign brings in several additional customers, you might be inclined to call it a success. In some ways it is possible, but not always. Let's assume this campaign costs you most of your advertising budget. However, the customers it attracts don't spend much more than you pay to attract them. Would you still consider this campaign a success.
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