What Is Indicator Data (quantitative And Qualitative)
Summary:
Quantitative indicators are numerical and objective measures of quantities or amounts such as sales, revenue, and productivity. On the other hand, qualitative indicators are non-numerical assessments of qualities, opinions, and experiences that provide more subjective insights. While quantitative indicators are easy to measure and compare, qualitative indicators are usually expressed in descriptive terms and focus on experiences and intangible values. Both types of indicators are discussed in guidance from PPC and IG, with HQI also mentioning hybrid indicators. Qualitative KPIs measure non-numerical data while qualitative data refers to subjective interpretations of opinions.
Indicator data can be broadly categorized into quantitative and qualitative data. Quantitative indicators involve numerical and objective measures of quantities or amounts such as sales, revenue, and productivity. These measurements are typically expressed in numerical terms and are more easily measured and compared.
On the other hand, qualitative indicators refer to non-numerical assessments of qualities, opinions, and experiences. They provide more subjective insights and are usually expressed in descriptive terms. Qualitative indicators often focus on experiences and intangible values, offering a more nuanced understanding of certain aspects of data.
So, in essence, quantitative indicators focus on numerical measurements, while qualitative indicators provide a more subjective and experiential analysis of data. Both types of indicators play unique roles in data analysis, providing comprehensive insights into various aspects of a given topic or situation.
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