The correct answer is: B. Original version of data
Raw data is the original, unprocessed data that is collected from a source. It is not yet organized or analyzed in any way. Raw data can be in a variety of formats, including text, numbers, images, and videos.
Raw data is important because it is the foundation for all data analysis. Without raw data, it would not be possible to perform any meaningful analysis. Raw data can be used to answer a variety of questions, such as:
- What are the most popular products in our store?
- What are the demographics of our customers?
- What are the trends in our industry?
Raw data can also be used to improve products and services. For example, if a company knows that its customers are most interested in a certain product, it can focus its marketing efforts on that product.
Raw data can be a valuable asset for businesses, but it is important to understand that it is not always easy to work with. Raw data can be messy and disorganized, and it can be difficult to make sense of it without proper analysis. However, with the right tools and techniques, raw data can be transformed into valuable insights that can help businesses make better decisions.
Here is a brief explanation of each option:
- A. Data is ready for analysis: This is not always the case with raw data. Raw data can be messy and disorganized, and it can be difficult to make sense of it without proper analysis.
- B. Original version of data: This is the definition of raw data. Raw data is the original, unprocessed data that is collected from a source.
- C. Easy to use for data analysis: This is not always the case with raw data. Raw data can be messy and disorganized, and it can be difficult to make sense of it without proper analysis.
- D. None of the mentioned: This is not the correct answer. The correct answer is B.