Introduction
In pursuit of optimizing real asset investments, our client, a prominent financial institution, sought to create a data platform that would serve as the canonical model for real asset investments across various fund classes. This initiative aimed to ingest data from diverse sources, transform it into a unified model and provide stakeholders with insightful dashboards tailored to different business scenarios.
Analyzing the Problem
The challenges confronted in this endeavor included:
Monolithic Application Re-platforming: The existing monolithic application required re-platforming to a cloud-native stack to enhance scalability, reliability, and performance.
Incomplete Work by Previous Vendor: Previous efforts by a vendor left the project incomplete, necessitating a comprehensive overhaul and redevelopment.
Data Integration Complexity: Ingesting data from over 80 different providers posed significant technical and logistical challenges.
Data Governance and Quality: Incomplete data governance exposed the firm to contractual compliance issues, highlighting the need for robust governance and quality assurance measures.
Initial Challenges
Monolithic Application Re-platforming: Refactoring the existing monolithic application to a cloud-native stack to leverage modern technologies and enhance scalability and reliability.
Addressing Incomplete Work: Overcoming the shortcomings left by the previous vendor and redefining the project scope to align with business objectives.
Complex Data Integration: Developing robust data ingestion pipelines capable of ingesting data from many sources while ensuring accuracy, reliability, and efficiency.
Ensuring Data Governance and Quality: Implementing comprehensive data governance and quality assurance measures to address compliance issues and maintain data integrity.
Our Solution
Cloud-Native Re-platforming: Re-platformed the monolithic application to a cloud-native stack, leveraging modern cloud technologies for enhanced scalability, reliability, and performance.
Comprehensive Data Integration: Developed robust data ingestion pipelines capable of ingesting data from over 80 different providers, ensuring accuracy, reliability, and efficiency.
Data Governance and Quality Assurance: Implemented rigorous data governance and quality assurance measures to ensure compliance, maintain data integrity, and mitigate risks.
Stakeholder-Centric Dashboards: Built Power BI-based dashboards tailored to different business scenarios, providing stakeholders with insightful visualizations and actionable insights.
Key Results Achieved
Canonical Data Platform: Successfully created a data platform representing the canonical model of real asset investments across different fund classes, providing a unified view of investment data.
Reliable Data Ingestion: Implemented high-reliability data ingestion pipelines with integrated quality checks and data governance rules, ensuring accurate and timely data delivery.
Stakeholder Empowerment: Delivered Power BI-based dashboards tailored to various business scenarios, empowering stakeholders such as asset managers, property managers, fund administrators, and finance teams with actionable insights.
Application Modernization: Successfully modernized the real estate assets investment line of business (LOB) through application modernization, enhancing agility and efficiency.
Conclusion
Developing a comprehensive data platform for real asset investments represents a significant milestone in our client's journey toward optimizing investment strategies. By overcoming complex challenges and leveraging innovative solutions, we have empowered stakeholders with actionable insights, enhanced data governance, and streamlined business processes. This endeavor underscores our commitment to delivering impactful solutions that drive business success and innovation.
