A modernized enterprise data warehouse delivered up to 40% reduction in manual effort and 2–3× faster reporting, accelerating global climate governance workflows.
Client
Strengthening Global Climate Governance Through Modern Data Infrastructure
A leading international climate treaty organization with near‑universal membership (150+ Parties) plays a crucial role in global climate governance by managing the annual submission, validation, and publication of national greenhouse gas (GHG) emissions data. To improve transparency, scalability, and analytical depth, the organization engaged Hexaware for data warehouse modernization, data integration services, and analytics transformation. The goal was to build a scalable enterprise data warehouse capable of supporting advanced reporting, efficient operations, and the demands of global environmental data management.
Challenge
Fragmented Systems, Inconsistent Data, and Limited Analytical Capabilities
- Data integration complexity: Disparate CRF (Common Reporting Format) and MDA (Model-Driven Architecture) systems used varying formats, units, schemas, and definitions, making integration difficult and requiring robust data integration services to address inconsistencies across structured and semi-structured datasets.
- Data quality at scale: Managing GHG submissions from 150+ countries resulted in incomplete, inconsistent, or duplicate entries, necessitating strong governance and centralized validation.
- Fragmented data silos: Without a unified EDW, cross-country comparability, auditability, and transparency were significantly limited—impacting international climate governance
- Limitations of SSRS: Legacy reporting tools lacked OLAP style exploration, drilldowns, and interactive dashboards, and struggled with large dataset performance.
- High manual reporting burden: Manual extraction, transformation, and formatting slowed reporting cycles and introduced risk in a compliance-heavy environmental data management
Solution
Unified EDW, Scalable Data Warehouse Architecture & Advanced Analytics
- Structured requirements elicitation: Workshops, stakeholder sessions, and document analysis aligned system requirements with reporting obligations, governance expectations, and operational workflows.
- Enterprise Data Warehouse (EDW): Designed and implemented a centralized, scalable EDW based on modern data warehouse architecture, consolidating CRF and MDA systems into a single, authoritative source of truth.
- Advanced ETL pipelines: Built robust ETL workflows to ingest, cleanse, harmonize, and validate data, resolving structural and semantic differences across disparate source platforms.
- Automated SSRS reporting: Standardized and automated SSRS templates replaced manual reports, improving accuracy, reducing cycle times, and ensuring consistency.
- OLAP cube-based analytics: Using SSAS, OLAP cubes delivered multidimensional insights and a modern data analytics platform with drilldowns, cross-country analysis, time-series trends, and exploratory analyti
- Automated validation tools: Integrated automated review and compliance checks that enforced regulatory thresholds and improved reliability of GHG submissions.
- Future-ready foundation: The modernized platform is designed to evolve into a cloud data warehouse and support emerging AI/ML use cases, ensuring long-term scalability and adaptability.
Benefits
Higher Accuracy, Faster Insights, and Stronger Transparency
- Up to 40% reduction in manual effort through automation and standardized workflows.
- 2× faster query and reporting cycles enabled by OLAP analytics and a unified EDW.
- Improved data quality and consistency via centralized validation and governance.
- Richer multidimensional analytics supporting evidence-based climate policy.
- Standardized GHG data management replacing fragmented data silos.
- Enhanced transparency and accountability through audit-ready structures.
- Scalable foundation for future analytics supporting AI/ML and cloud expansion.
Summary
A Modern Enterprise Data Warehouse Supporting Global Climate Objectives
This modernization initiative demonstrates the value of transforming legacy systems into a robust, scalable enterprise data warehouse foundation. By integrating a modern data analytics platform, OLAP‑based insights, automated SSRS reporting, and streamlined data integration services, the organization replaced fragmented, manual workflows with a cohesive and high‑performance system. The solution resolved complex data‑quality challenges, increased reporting speed by 2×, and strengthened transparency in global environmental data management. With a future‑ready data warehouse architecture and support for cloud-data-warehouse evolution, the platform now enables the organization to support global climate governance with greater rigor, agility, and scalability.
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