Challenges

Data Silos: Data was scattered across various departments, leading to siloed information and inefficiencies in decision-making processes.

Scalability Issues: As the company grew, the legacy system struggled to scale, leading to slow data processing times and performance bottlenecks.

Data Security and Compliance: Compliance with Australian financial regulations and data security standards was increasingly challenging to maintain with the outdated infrastructure.

Lack of Real-time Insights: Access to real-time data and analytics was limited, preventing the company from responding swiftly to market changes and customer demands.

Cost and Maintenance: The high costs associated with maintaining the legacy system were a significant concern for the company's bottom line.

Solutions

To achieve these objectives, our team proposed a comprehensive data modernisation strategy centered around Snowflake, a cloud-native data platform known for its scalability, security, and real-time analytics capabilities.

Cloud Migration: We helped the client migrate their data from on-premise servers to Snowflake's cloud-based infrastructure, ensuring a smooth transition without data loss or downtime.

Data Integration: We integrated data from various sources, including transactional systems, customer databases, and external data feeds, into Snowflake's data warehouse.

Real-time Analytics: Snowflake's capabilities were leveraged to build real-time dashboards and reporting tools, enabling the client to make data-driven decisions promptly.

Cost Optimisation: By leveraging Snowflake's pay-as-you-go pricing model, we helped the client optimise their IT expenses and reduce the total cost of ownership.

Technology Used

- Chief Operating Officer

"Intelligen's willingness to come and be really honest, and call us out when we weren't always thinking about it the right way got us to a point where we not only could execute quickly but we were able to achieve all of the objectives we set for ourselves on that piece of work."