In this section, you should analyze and discuss the relationships and any sensitivity/correlation between your KPIVs and KPOVs. For example, you should discuss those KPIVs and KPOVs that have a direct cause-and-effect relationship.
For your quantitative analysis, you should provide some data analysis that demonstrates a more systematic and comprehensive assessment of your key output variable and/or the main causes for lack of performance. Please recognize that the purpose of the project is to solve a problem and not necessarily to use a specific quality/statistical analysis tool or method. Thus, use the tool/method that is appropriate to solving the problem, even if the tool used is fairly simple analytically.
Similar to the Measure Phase, your team is required to demonstrate its use and understanding of quality and Lean Six Sigma concepts and tools by showing evidence of the use of at least three (3) appropriate data analysis tools/methods – however, the more the team properly uses, the better. You should support this requirement by including at least one summary table, graph, or diagram for each tool/method within the main body of the text (e.g., you might include a Pareto chart, stratification analysis table, cause-and-effect diagram, scatter plot, histogram, correlation analysis, process control charts, analysis of variance, value stream map, simulation, etc.). These tables and figures must be integrated into the main body of your report; additional background material may be included in the Appendix. The instructor and Master Black Belt mentors who are assigned to your project may request resubmission of the project report, so that additional analysis is included, if appropriate.
KPIV: location of the meters (list them, map them, include the pipe size) , meters themselves, wifi nodes( 800 sqft which is 40 linear feet)
KPOV: flow rates, graphs, data
We are lacking data because of the trouble we are having putting in the flow meters.
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