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Producing insights from raw data is a time-consuming process. Predictive modeling efforts rely on dataset profiles , whether consisting of summary statistics or descriptive charts. The Importance of Exploratory Analytics in the Data Science Lifecycle. There is a risk of injecting bias. ref: [link].
You must be tired of continuously hearing quotes like, ‘data is the new oil’ and what not. Combined, it has come to a point where dataanalytics is your safety net first, and business driver second. These industries accumulate ridiculous amounts of data on a daily basis. AI Adoption and Data Strategy. Source: TCS).
Ever since the digitization of casinos, casino managers are being exposed to a great deal of data. Hidden tangled within this sea of data lie many insights, which can open up new opportunities for growth and revenue. This is what makes the casino industry a great use case for prescriptive analytics technologies and applications.
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