Topic 3 Flashcards
What is Data?
Data refers to the collection of raw and unorganized facts and figures, which may be in the form of numbers, letter, characters or images.
What is Information?
Information refers to the output of the data after it has been processed, organized or structured to convert it into something that is more reliable, easier to measure, and ready to be visualized or analysed.
What is Knowledge?
Is the meaning that can be derived from information and applied to set a goal.
What is Wisdom?
Wisdom is the application of knowledge.
What is Data Visualisation?
Data visualization is the process of converting large sets of data into charts, graphs or other visual presentations.
Why do we use data visualization?
Visualizations organize data and information in a way that is more understandable.
Qualitative?
Deals with words and meanings.
Quantitative?
Deals with numbers and statistics.
What is data mining?
The process of finding patterns and correlations, as well as anomalies, within large data sets.
What is data matching?
The process of comparing two different sets of data with the aim of finding data about the same identity.
What is the first stage of the data life cycle?
Is data creation.
New data may be created through manual data entry by a member of the organization or some other way like sensors or forms.
What is the second stage of the data life cycle?
Is storage.
Once the data has been created, it needs to be stored and protected with the appropriate level of security and access configured.
What is the third stage of the data life cycle?
Is usage.
Data is collected and stored for many reasons At this stage of the data life cycle, the data can be viewed in its raw format, be processed so that it can be presented in a more visually appealing manner, or specific information can be extracted out.
What is the fourth stage of the data life cycle?
Is preservation.
Maintained support for current analysis and decision-making in the future.
What is the fifth stage of the data life cycle?
Is destruction.
As the volume of the data grows, so does the cost of the storage.
The data must be destroyed once the agreed retention period is over.