The analytic technique utilized after an adverse event occurs to prevent its recurrence is called Root cause analysis.
<h3>
What are the root cause analysis five steps?</h3>
- Root cause analysis is a technique for problem-solving used in science and engineering to determine the underlying reasons of errors or issues.
- It is frequently utilized in areas like information technology operations, telecommunications, industrial process control, accident investigation, and the healthcare sector.
- Realize the Issue: To start, you must decide what went wrong.
- Gather a Good Amount of Information.
- Determine the Related Causal Factors.
- Create a conclusion.
- Make any necessary adjustments.
- The analytic technique utilized after an adverse event occurs to prevent its recurrence is called
- Root cause analysis.
To learn more about the Root cause analysis, refer to the following link:
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The thing which the data analysts do during the ask phase are:
- Define the problem by looking at the current state
- Identifying how it's different from the ideal state.
<h3>What is Data Analysis?</h3>
This refers to the use of data to find out the similarity and differences between the different data and how to use it to solve problems.
With this in mind, we can see that during the data analysis process phases, we can see that they include:
- Ask
- Prepare
- Process
- Analyze
- Share
- Act.
Then in the ask phase, the data analysts have to define the problem and then identify how to solve it.
Read more about data analysis here:
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Answer with Explanation:
Requirement 1.
The US import will increase by $1,500,000 due to purchase of indian tea product and this import of tea would result in increase of capital outflow as the Net export particular to importation is negative hence capital outflow is genuine effect.
Requirement 2.
The Net exports can be calculated as under:
Net Exports = Exports - Imports = 0 - $1,500,000 = - $1,500,000
The US Net Exports would decrease by $1,500,000.
The answer is false. Learning management systems is not known as knowledge work systems. Knowledge work systems are maintained by knowledge workers who manage and create knowledge. Knowledge, in this context, is universal and can be moved easily. It can include structured and unstructured documents.
