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Data Science is a disciplinary mix of data inference, algorithm development and technology, the goal of which is to solve complex analytical problems. At the heart of this great mix is ​​data, the massive amounts of raw information stored in companies’ data warehouses. In concrete terms, data science enables data to be used creatively to generate value for businesses.

First, Data Science uncovers insights within the data. By delving into this information at a granular level, the user can discover and understand complex trends and behaviors. It’s about bringing information to the surface that can help companies make smarter decisions.

For example, Netflix mines the data to uncover patterns of viewing its content to understand what is of interest to users, and uses that information to decide which series to produce. Target identifies its main customer segments and buying behavior to be able to reach new audiences. Proctor & Gamble relies on data to predict future demand in order to optimize production.

To extract this valuable information, Data Scientists first explore the data. Faced with a complex question, the Data Scientist becomes a detective. He is investigating and trying to understand the patterns within the data. To achieve this, it is necessary to show analytical creativity. Data-driven information retrieval is essential for strategic business guidance. In fact, Data Scientists act as consultants.

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