Authors: Ajay Kumar Kota
Abstract: In successful Business Intelligence (BI) projects, the transition from business requirements to technical implementation is often the most critical—and misunderstood—phase. This article introduces a structured approach for translating business logic into robust technical design through a "Mockup-to-Metadata" model. It explores how initial user mockups and conceptual dashboards can be methodically mapped to metadata layers, data models, and technical specifications. Emphasis is placed on identifying KPIs, filter logic, hierarchies, and aggregations early in the design process to avoid ambiguity and ensure alignment. By standardizing the translation process, BI teams can bridge the gap between non-technical business users and data architects, reduce project rework, and deliver consistent, scalable, and validated analytics solutions. Through practical frameworks, step-by-step mapping strategies, and a pharma-based case study, the article demonstrates how to build metadata-driven BI systems that are agile, auditable, and stakeholder-centric. This approach empowers organizations to foster collaboration, maintain governance, and accelerate delivery in complex BI environments.
DOI: https://doi.org/10.5281/zenodo.16022434
