What is the difference between quantitative and qualitative data?

Quantitative data is based on numbers, counted or measured, whereas qualitative data is descriptive, language-related, and interpretation-based. Quantitative data provides information like – how many, how much, or how frequently in calculations. On the other hand, qualitative data provides information like – why, how, or what happened behind specific behaviors.

How can data analytics techniques help me make better-informed business decisions?

Businesses can benefit from data analytics by getting a more accurate picture of their operations, customers, and market trends. In addition, businesses might find hidden patterns and trends by utilizing data analytics tools, techniques, and methods that cloud go undetected with traditional approaches.

Which data analytics techniques are most suitable for small businesses with limited resources?

Small businesses with limited resources can still benefit from data analytics by focusing on techniques that are cost-effective, relatively easy to implement, and provide actionable insights. Here are some data analytics techniques that are well-suited for small businesses: 1) Data Mining (Text analysis), 2) Statistical Analysis, 3) Diagnostic Analysis, 4) Predictive Analysis, 5) Prescriptive Analysis

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