What is data science used for?#
Data science helps businesses make sense of this complexity by identifying hidden patterns, predicting future trends, and answering critical questions with evidence. This allows leaders to make informed, data-driven decisions that reduce risk and improve performance, rather than relying on intuition alone.
How does data science work?#
The process begins by collecting and cleaning relevant data from various sources (e.g., customer databases, website traffic, financial records) to ensure it is accurate and usable. This prepared data is then explored to uncover initial trends and relationships.
Practitioners, called data scientists, then apply statistical analysis and machine learning models to the data. These models can be used to forecast future outcomes, such as predicting which customers are likely to leave, or to classify information, such as identifying fraudulent transactions. The final results are typically presented in reports or dashboards to help business leaders understand the findings.
How is data science different from business intelligence?#
Data science is focused on asking new questions and predicting future outcomes using advanced statistical models. It differs from traditional Business Intelligence (BI), which typically uses historical data to report on what has already happened (e.g., creating a dashboard of last quarter's sales). While BI answers "What happened?", data science answers "Why did it happen?" and "What is likely to happen next?".