Sydney-based consultancy Data Army has delivered a data solution for Australian non-bank mortgage lender MA Money.
The project was delivered in a six-week timeframe to support MA Money's inaugural $500 million residential mortgage-backed security (RMBS) public term issuance and to underpin company momentum.
Data Army incorporated Microsoft Azure, Snowflake data cloud and Tableau to deliver a solution that included a self-serve analytics platform for tracking mortgage data by MA Money’s treasury department and external parties.
“We selected Data Army as our partner because we had confidence in their team’s expertise and capabilities in information modelling and testing,” says Chris Wyke, joint CEO of MA Money's parent company MA Financial Group.
“Their strong track record of delivery, proven processes and focus on innovation, aligned perfectly with our project needs and tight timeframe. We were also impressed with their willingness to embed their team into our Agile scrum framework.”
Data Army’s scope of work involved data retrieval and ingestion using Azure Data Factory, data staging on Azure Data Lake Gen 2 blob storage, as well using Snowflake for the company’s data lake, data warehouse and data mart.
Tableau was implemented for querying Snowflake for self-service analytics and business intelligence.
Data Army also set up the initial framework of the test suite via DBT which enables alerts of potential issues to reduce the chance of poor information quality or historical data remediation events.
“Since the completion of our inaugural RMBS insurance, our team continue to develop our platform in preparation for future issuances,” Wyke said.
“There’s no doubt that this will help us continue our upward trajectory as one of Australia’s fastest growing non-banks.”