Updated: 2026-09-12
1. Background of Data Analysis
1-1. Why Data Analysis is Necessary
Diagram Structure and Process Content
- Initial Planning Stage (Scalar State): Customer concerns and opinions (such as "Option A should be adopted," "Option B should be adopted," "It has no effect," "It's too early," etc.) face scattered directions and remain unorganized.
- Alignment of Purpose and Means (Vector State): Moving from local optimization to overall optimization through information organization, coordination, and visualization, unifying policies and methods, thereby establishing the preconditions for system design.
- Requirement Evaluation and Review Flow: In evaluations based on required equipment capacity and demand values, if conditions are not met (No: such as equipment feasibility, data reliability, demand satisfaction, etc.), preconditions are modified and re-evaluated.
- Recalculation of Supporting Data: When preconditions are changed, accompanied by adjustments in required functions, scope, scale, and operational schedules, recalculation of supporting data is invariably executed.
- Establishing Design Basis: Fulfilling requirements ultimately establishes the required equipment capacity, which serves as the design basis during delivery and acceptance testing. These processes are advanced through role division among customer-led, business-led, and design-led roles.
Necessity of Data Analysis in the Initial Project Stage
As clearly specified in the diagram, the main reasons why customer data analysis is required in the initial stage are as follows:
- To establish preconditions for system design
- To demonstrate the design basis for delivery and acceptance testing
【Explanation】
In the initial planning stage when stakeholder opinions are not yet consolidated, objectively understanding current status through data analysis creates firm, unwavering preconditions for advancing system design, and establishes clear evaluation criteria (design basis) upon project completion.