복잡한 비즈니스 인텔리전스를 위한 확장 가능한 다중 관계 쿼리 설계

You are tasked with architecting a scalable querying framework for [companyName]'s business intelligence platform, focused on analyzing data across [targetMarket] and [productCategory]. Your objectives include:

1. Designing multi-relational queries that efficiently join and aggregate data from at least three normalized tables, ensuring minimal latency.
2. Optimizing query execution plans considering indexed columns and partitioned datasets.
3. Incorporating dynamic filtering parameters based on [timePeriod], [region], and [customerSegment].
4. Ensuring the queries support incremental data refreshes without full table scans.
5. Integrating data from disparate sources (e.g., CRM, sales DB, and inventory systems) maintaining referential integrity.
6. Implementing advanced window functions or common table expressions (CTEs) to enable trend analysis over [analysisDuration].
7. Evaluating query scalability for a projected 3x growth in data volume over the next [forecastPeriod].
8. Providing detailed documentation of the query logic and optimization rationale to facilitate maintenance.

Deliver a comprehensive report summarizing the designed queries, optimization techniques employed, and recommendations for future-proofing the data retrieval system.