What is data aggregation and why is it important?
An example of an AI chatbot conversation about data aggregation and its significance.
What is data aggregation and why is it important?
Data aggregation is the process of collecting and summarizing data from various sources. It's important because it helps in analyzing trends, making informed decisions, and improving efficiency.
Can you give me an example of data aggregation in real life?
Sure! A common example is how social media platforms aggregate user data to provide targeted advertisements based on user behavior and preferences.
What tools are commonly used for data aggregation?
Some popular tools for data aggregation include Google Analytics, Tableau, and Microsoft Power BI, which help in visualizing and analyzing data.
How does data aggregation impact business intelligence?
Data aggregation enhances business intelligence by providing comprehensive insights, enabling better forecasting, and supporting strategic planning.
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