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Data Science

BI is designed for static, typically structured data that is unchanging. While data science does make use of descriptive data, it usually does so to identify predictive characteristics that are then applied to classify data or generate forecasts. Digitally savvy firms use both to properly comprehend and derive value from their data; data science and BI are not mutually exclusive.

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Data Science

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  1. DESCRIBE DATA SCIENCE. The technology that enables Data preparation, data mining, data management, and data visualization is sometimes referred to as business intelligence (BI). Data-driven decision-making inside businesses across multiple industries is facilitated by business intelligence tools and methods that enable end users to separate useful information from raw data. While business intelligence (BI) tools focus more on historical data and their insights are more descriptive in nature, data science tools and BI tools overlap in many of these areas. It informs a course by using data to understand what happened in the past.

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