Data & Analytics Platform Development
Hybrid On-Premise
and Cloud Platform
industry
Banking
technology used:
Hybrid On-Premise
and Cloud Platform
Outline of the Challenge:
A prominent German bank sought to modernize its data infrastructure to prepare for a future cloud migration and centralize its data analytics efforts. The existing on-premise system was fragmented, making it difficult to manage data efficiently and comply with regulatory reporting requirements.
The bank needed a hybrid solution that could integrate on-premise and cloud environments, establish a new model-based development process based on business data models and data vault modeling, and streamline regulatory reporting while enhancing data analytics capabilities.
Proposed Solution
Data Hiro proposed a hybrid on-premise and cloud platform that would lay the groundwork for future cloud migration and support the bank’s data analytics objectives. The solution involved creating a robust infrastructure that integrated on-premise systems with cloud resources, utilizing a business data model and data vault modeling approach. The platform aimed to centralize data management, ensuring compliance with regulatory reporting requirements and providing a scalable foundation for advanced data analytics.
Team Size
6 Data Experts ranging from Data Architect to Power BI Developer
Data & Analytics Platform Development
Project Journey
1
Requirement Analysis and Planning:
○ Conducted comprehensive consultations with stakeholders to understand their data management challenges and future cloud migration goals.
○ Defined the project scope, objectives, and key performance indicators (KPIs) to measure success.
○ Developed a detailed project plan outlining timelines, milestones, and resource allocation.
2
Design and Prototyping:
○ Designed a hybrid architecture that integrated on-premise systems with cloud resources, ensuring seamless data flow and interoperability.
○ Created prototypes to demonstrate the new model-based development process using business data models and data vault modeling.
○ Iteratively refined the design based on feedback from stakeholders to ensure it met their requirements.
3
Development and Integration:
○ Developed the hybrid platform, implementing robust data integration mechanisms to connect on-premise systems with cloud resources.
○ Established a new model-based development process using business data models and data vault modeling to ensure consistency and scalability.
○ Built regulatory reporting frameworks to comply with local and international standards.
○ Developed data analytics capabilities to centralize the bank’s efforts and enhance decision-making.
4
Deployment and Training:
○ Deployed the hybrid platform in phases to ensure minimal disruption to the bank’s operations.
○ Conducted extensive training sessions for the bank’s technical and business staff, ensuring they were proficient in using the new system and development process.
○ Provided documentation and support to enable the bank to maintain the solution in-house and facilitate future cloud migration.
○ Offered ongoing support and troubleshooting during the initial rollout phase.
5
Monitoring and Optimization:
○ Implemented monitoring tools to track the performance and effectiveness of the hybrid platform.
○ Collected user feedback to identify areas for further improvement.
○ Made continuous enhancements to optimize the solution’s functionality and efficiency.
1
Requirement Analysis and Planning:
○ Conducted comprehensive consultations with stakeholders to understand their data management challenges and future cloud migration goals.
○ Defined the project scope, objectives, and key performance indicators (KPIs) to measure success.
○ Developed a detailed project plan outlining timelines, milestones, and resource allocation.
2
Design and Prototyping:
○ Designed a hybrid architecture that integrated on-premise systems with cloud resources, ensuring seamless data flow and interoperability.
○ Created prototypes to demonstrate the new model-based development process using business data models and data vault modeling.
○ Iteratively refined the design based on feedback from stakeholders to ensure it met their requirements.
3
Development and Integration:
○ Developed the hybrid platform, implementing robust data integration mechanisms to connect on-premise systems with cloud resources.
○ Established a new model-based development process using business data models and data vault modeling to ensure consistency and scalability.
○ Built regulatory reporting frameworks to comply with local and international standards.
○ Developed data analytics capabilities to centralize the bank’s efforts and enhance decision-making.
4
Deployment and Training:
○ Deployed the hybrid platform in phases to ensure minimal disruption to the bank’s operations.
○ Conducted extensive training sessions for the bank’s technical and business staff, ensuring they were proficient in using the new system and development process.
○ Provided documentation and support to enable the bank to maintain the solution in-house and facilitate future cloud migration.
○ Offered ongoing support and troubleshooting during the initial rollout phase.
5
Monitoring and Optimization:
○ Implemented monitoring tools to track the performance and effectiveness of the hybrid platform.
○ Collected user feedback to identify areas for further improvement.
○ Made continuous enhancements to optimize the solution’s functionality and efficiency.
Data & Analytics Platform Development
Key findings
This case study demonstrates Data Hiro’s expertise in delivering hybrid data management solutions that enhance efficiency, scalability, and governance, leveraging advanced modeling approaches and ensuring future cloud readiness for financial institutions.
● Improved Scalability: The hybrid platform provided a scalable solution capable of handling increasing data volumes and complexity.
● Operational Efficiency: Integration of on-premise and cloud resources led to significant improvements in operational efficiency and data flow.
● Data Quality and Governance: The solution enhanced data quality and governance, ensuring compliance with regulatory requirements and internal standards.
● User Satisfaction: Positive feedback from users highlighted the ease of use and effectiveness of the new system, demonstrating successful adoption and integration.
● Future-Proof Infrastructure: The hybrid platform positioned the bank to leverage advanced analytics and AI capabilities in the future, driving further innovation and efficiency.
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