What is the importance of quantitative analysis in decision-making?
Quantitative analysis is crucial as it provides data-driven insights, helping to make informed decisions based on numerical data.
Can you give me some examples of how it's used in business?
Sure! It's used in finance for risk assessment, in marketing for customer segmentation, and in operations for efficiency analysis.
What tools are commonly used for quantitative analysis?
Common tools include statistical software like R, Python libraries, Excel, and specialized platforms like SAS and SPSS.
How does it differ from qualitative analysis?
Quantitative analysis focuses on numerical data and statistical methods, while qualitative analysis explores subjective insights and experiences.
What skills are needed to perform quantitative analysis?
Key skills include statistical knowledge, proficiency in data analysis tools, critical thinking, and the ability to interpret data effectively.
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