[OC] Tiefgehende Durchflussanalyse: Über den Standard-Sankey hinaus. Visualisierung der Customer Journey.

**Data Source:** Synthetic dataset modeled after 2024-2025 e-commerce behavioral patterns and customer journey heuristics.

**Tools:** Custom-built native C# engine (SankeyLogic) integrated directly into Excel.

**Technical Overview (SSOT):**This visualization was generated to demonstrate Deterministic Precision in high-depth networks (10+ levels). Unlike standard drawing tools, this engine maintains a strict Single Source of Truth (SSOT).

Mathematical Integrity: The visual layer is decoupled from the analytical layer, ensuring every Bézier curve is a mathematically accurate reflection of the underlying mass-balance and concentration risk (HHI).

Trace Integrity: The engine utilizes real-time graph traversal to maintain 100% traceability from Level 1 (Origin) to Level 10 (Outcome), preventing „stale“ or out-of-sync nodes.

**Analytical Views Shown (In order):**

**Network Health & Efficiency (Diagnostic View):** Identifies structural imbalances and bottlenecks. The engine automatically detects anomalies in flow integrity and calculates System Entropy and Flow Skew (Gini) to surface hidden inefficiencies.

**Impact Simulator (Propagation View):** Quantifies the „Domino Effect“ of local interventions. It calculates how a change at a single point (e.g., Seasonal Sale) spreads through 10+ connected layers to predict terminal yield and penetration depth.

**Upstream Origin (Attribution View):** Traces the DNA of any terminal state (e.g., Positive Sentiment) back to its system-wide origins. Using real-time graph traversal, it calculates Origin Concentration and Attribution Yield for any selected node.