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The steps in the analyze phase are:
- Determine which factors impact the performance, i.e. X’s in Y=f(X)
- Organize the potential X’s
- Shortlist the key X’s
- Develop a data collection plan for the analysis
- Prove the key X’s for Y=f(X)
The possible X’s are determined by brainstorming. The potential X’s are organized using a cause-effect diagram or fishbone diagram. The potential causes are shortlisted by consulting the experts.
We need to develop a data collection plan because a sufficient number of data points have to be collected so that we can d further analysis such as regression. Inferential statistics and hypothesis testing are used to prove the X’s as major factors. At the end of the analysis phase, we have a list of proven X’s that were validated by data-driven analysis.
1.How to Use Cause-Effect Diagram?
It is a diagram o organize the list of causes which impact the effect.
2. Data Collection in Analyze Phase
Planning for data collection starts with the questions:
- What is the hypothesis to be tested?
- What type of hypothesis is to be tested?
- How many data points are needed to draw the collection?
- From whom, when and where should the data be collected?
Planning helps the team save time during the inferential statistics and hypothesis testing.
Background:
After graduating in Mechanical Engineering from IIT (BHU) Varanasi, India, I pursued a dual degree Master's program in Europe (MS in Biomedical Engineering at RWTH Aachen, Germany and MS in Bioengineering at Trinity College Dublin, Ireland). I am currently working as a 'Manufacturing Engineer' in a MedTech company in Ireland.
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