Core Insights - The article emphasizes the importance of the demand analysis phase in BI project implementation, highlighting that its accuracy directly impacts the project's success [1] Group 1: Shallow Traps - Shallow traps stem from communication and experience deficiencies, leading to visible yet frequently encountered issues that drain project teams' energy and credibility [2] - Internal rigor issues arise from unclear definitions of key metrics, such as gross margin, which can lead to disputes among departments and undermine the BI system's credibility. Establishing a living "metric dictionary" is essential for consistency [3] - External friendliness issues occur when attempting to create a one-size-fits-all dashboard, resulting in dissatisfaction among different user roles. Successful BI design requires precise user role segmentation to enhance adoption rates [4] Group 2: Deep Traps - Deep traps are more insidious, relating to the robustness of data architecture and the ultimate realization of project value, necessitating strong technical and project management skills [6] - The choice of data granularity involves a trade-off between analysis and performance. It is crucial to define the "minimum usable granularity" for each analysis theme during the demand phase and implement a layered data architecture [7] - The time paradox of metrics, such as whether to calculate monthly sales based on payment or shipping time, must be clarified early to avoid discrepancies in reports and to maintain data trust [8] - Managing client expectations is critical for project success. Unrealistic expectations can lead to project failure, even with perfect technical implementation. Analysts must manage these expectations through prototypes and clear communication [9] Conclusion - Addressing shallow traps can establish initial trust in BI projects, while overcoming deep traps is essential for evolving BI systems from mere reporting tools to robust decision-making foundations. The depth of understanding regarding these traps defines the professional level of BI demand analysis [11]