Google Data Analytics Professional Certification Practice Test

Which term describes small, specific data points for day-to-day decisions?

1. Big Data

2. Action-oriented Questions

3. Small Data

4. Business Tasks

The correct answer is: Small Data

The term "Small Data" refers to manageable datasets that can be easily analyzed to inform day-to-day decisions. Unlike Big Data, which involves large volumes of data that often require advanced analytics tools and techniques, Small Data is typically structured and gathered with a specific purpose in mind. It allows businesses to draw actionable insights from limited data points, often reflecting immediate situations or decisions. This type of data is practical for operational contexts because it can be quickly understood and leveraged by teams or individuals, making it ideal for decisions that do not require extensive analysis or complex algorithms. Small Data also emphasizes relevance and simplicity, allowing organizations to remain agile and responsive in their decision-making process. In contrast, Big Data would emphasize larger datasets that require different analytical approaches due to their complexity. Action-oriented questions focus on the kind of questions that lead to direct actions based on data insights but do not define the nature of the data itself. Business tasks relate more to specific activities within an organization rather than the data characteristics needed for analytical decisions. Therefore, Small Data aptly captures the essence of the type of information necessary for regular, daily decision-making.