Data & Analytics Platform Automation
Custom-Made
Data Vault Automation
industry
Public Sector
technology used:
Custom-Made
Data Vault Automation
Outline of the Challenge:
A public sector company was struggling with data integration, scalability, and governance due to an outdated data management system. They sought a robust data vault automation solution that could be developed and maintained in-house, avoiding vendor lock-in and ensuring long-term sustainability.
The new solution needed to use an enterprise model as input to automate the creation of a physical data model, generate data processing scripts, and orchestrate these scripts using the company’s scheduler. An important feature of the orchestration algorithm was to include numerous steps, such as exclusion unintended long-running scripts.
Proposed Solution
Data Hiro proposed a custom-made data vault automation solution based on the company’s enterprise model. The solution included automated physical model generation, creation of data processing scripts, and their orchestration within the company’s scheduler. The orchestration algorithm was designed to handle multiple steps, incorporating the Isolation Forest algorithm to ensure efficiency by excluding unintended long-running scripts. The solution was designed to be vendor-independent and maintainable in-house.
Team Size
Data & Analytics Platform Automation
Project Journey
1
Deployment and Training:
○ Deployed the solution in a controlled environment to ensure minimal disruption to existing operations.
○ Conducted extensive training sessions for the company’s technical staff, ensuring they were proficient in using the new system.
○ Provided documentation and support to enable the company to maintain the solution in-house, avoiding vendor lock-in.
○ Offered ongoing support and troubleshooting during the initial rollout phase.
2
Development and Integration:
○ Developed the custom data vault automation solution using the enterprise model as input.
○ Automated the creation of the physical data model, ensuring adherence to best practices and standards.
○ Generated data processing scripts for data loading, transformation, and integration.
○ Developed the orchestration algorithm, incorporating multiple steps and using the Isolation Forest algorithm to exclude unintended long-running scripts.
○ Integrated the solution with the company’s scheduler to ensure seamless execution of data processing tasks.
3
Design and Prototyping:
○ Designed the enterprise data model to serve as the foundation for the data vault automation.
○ Created prototypes to demonstrate the physical model generation, data processing scripts, and orchestration processes.
○ Iteratively refined the design based on feedback from stakeholders to ensure it met their requirements and could be maintained in-house.
4
Requirement Analysis and Planning:
○ Conducted detailed consultations with stakeholders to understand their data management challenges and requirements.
○ Emphasized the need for a vendor-independent solution that could be maintained in-house.
○ Defined the project scope, objectives, and key performance indicators (KPIs) to measure success.
○ Developed a comprehensive project plan outlining timelines, milestones, and resource allocation.
5
Monitoring and Optimization:
○ Implemented monitoring tools to track the performance and effectiveness of the data vault automation solution.
○ Collected user feedback to identify areas for further improvement.
○ Made continuous enhancements to optimize the solution’s functionality and efficiency.
1
Deployment and Training:
○ Deployed the solution in a controlled environment to ensure minimal disruption to existing operations.
○ Conducted extensive training sessions for the company’s technical staff, ensuring they were proficient in using the new system.
○ Provided documentation and support to enable the company to maintain the solution in-house, avoiding vendor lock-in.
○ Offered ongoing support and troubleshooting during the initial rollout phase.
2
Development and Integration:
○ Developed the custom data vault automation solution using the enterprise model as input.
○ Automated the creation of the physical data model, ensuring adherence to best practices and standards.
○ Generated data processing scripts for data loading, transformation, and integration.
○ Developed the orchestration algorithm, incorporating multiple steps and using the Isolation Forest algorithm to exclude unintended long-running scripts.
○ Integrated the solution with the company’s scheduler to ensure seamless execution of data processing tasks.
3
Design and Prototyping:
○ Designed the enterprise data model to serve as the foundation for the data vault automation.
○ Created prototypes to demonstrate the physical model generation, data processing scripts, and orchestration processes.
○ Iteratively refined the design based on feedback from stakeholders to ensure it met their requirements and could be maintained in-house.
4
Requirement Analysis and Planning:
○ Conducted detailed consultations with stakeholders to understand their data management challenges and requirements.
○ Emphasized the need for a vendor-independent solution that could be maintained in-house.
○ Defined the project scope, objectives, and key performance indicators (KPIs) to measure success.
○ Developed a comprehensive project plan outlining timelines, milestones, and resource allocation.
5
Monitoring and Optimization:
○ Implemented monitoring tools to track the performance and effectiveness of the data vault automation solution.
○ Collected user feedback to identify areas for further improvement.
○ Made continuous enhancements to optimize the solution’s functionality and efficiency.
Results
The custom data vault automation solution significantly improved data integration, scalability, and governance, providing a robust foundation for the company’s data management needs.
The solution was designed to be maintained in-house, eliminating vendor lock-in and ensuring long-term sustainability.
Automated generation of the physical data model and data processing scripts reduced manual effort and minimized errors, increasing overall efficiency
The sophisticated orchestration algorithm, including the Isolation Forest algorithm, ensured efficient execution of data processing tasks by excluding unintended long-running scripts.
Training and support enabled the company’s technical staff to effectively manage and utilize the new data vault system, fostering self-sufficiency and empowerment.
Data & Analytics Platform Automation
Key findings
This case study demonstrates Data Hiro’s expertise in delivering custom data management solutions that enhance efficiency, scalability, and governance, leveraging advanced algorithms and automation while ensuring vendor independence and in-house maintainability for public sector clients.
● Improved Scalability: The automated data vault generator provided a scalable solution capable of handling increasing data volumes and complexity.
● Operational Efficiency: Automation and efficient orchestration of data processing tasks led to significant improvements in operational efficiency.
● 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.
● Long-Term Maintainability: The vendor-independent design ensured the solution could be maintained and updated by the company's in-house team, providing long-term flexibility and control.
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