Revolutionising An
Australian Investment
Management Funds
Data Platform Ecosystem
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Project:
An intensive four-week evaluation of their existing architecture and a deep dive into their primary obstacles and business motivator allowing us to craft a comprehensive roadmap to a
Modern Platform Ecosystem.
Challenges
Overhead and Duplications Across Business Units: Data assets are replicated across different data warehouses.
Dependencies on Legacy Systems: The use of legacy solutions, such as stored procedures and C# codes lead to performance issues and limiting self-service capabilities.
Data quality and Integration Challenges: Gaps in data quality and complexities of integration are affecting the reliability and accuracy of data analytics, impacting decision-making processes.
Performance Bottlenecks: Data warehouse performance issues lead to slow response times, affecting user experiences and productivity.
Solution
A new technology ecosystem transforming their legacy technology stack into a modern tech haven. The combination of Snowflake, Fivetran and Coalesce will transform their processing and analytics capabilities providing:
Enhanced Agility: Facilitates adaptation to changing business needs and market conditions.
Reduced Time to Value: Accelerates the delivery of data projects, shortening the cycle from development to actionable insights.
Increased Flexibility: Offers the ability to easily scale resources up or down based on demand, optimising cost.
Speed of Development: Employs modern tools and practices that streamline the development process, enabling faster creation and deployment of data solutions.
Improved Data Quality and Governance: Establishes a solid foundation for managing data quality, compliance, and governance across the organisation.
Cost Efficiency: More efficient use of resources, translating to lower operational costs by leveraging cloud-native services.
Scalability and Performance: Ensures the infrastructure can handle growing data volumes and complex analytics without performance degradation.
"The implementation of a new and modern data stack will allow the data team to speed up their time to value. By leaving behind complex on-prem data storage and integration tools, they can now focus on business value, serving their internal customers more efficiently, which translates into providing better services to their customers."
- Cristian Gomez, Principal Consultant
