Future ready: enhancing data architecture for strategic success

The Australian Finance Group introduced a new architecture to achieve greater control over its data processing capabilities.

Overview

About Australian Finance Group

Australian Finance Group (AFG) is one of Australia’s most secure and prosperous mortgage aggregators.

Established in 1994 to help create a fairer financial future for Australians, AFG is one of the country’s largest mortgage broking groups and leaders in financial solutions. It has over 3,700 brokers nationally and offers more than 7000 products across 70+ lenders.

To continuously support its ever-evolving business demands, offer exceptional customer experience, and reduce operational costs, AFG identified the need to improve their legacy analytics and insights (A&I) system. As an organisation with critical dependency on data, their first step was to review the data landscape of the existing A&I system.

Logo of Australian Finance Group

Solution

Reviewing AFG’s end-to-end data architecture

AFG needed a technology partner to review its complex legacy analytics and insights platform. Further support to this existing platform or a move to its newest version, would likely result in additional operational costs and disruption to the business.

AFG engaged Telstra Purple to review its architecture, identify opportunities, improve efficiency, and reduce costs. Engagement began with a series of internal one-on-one interviews to gain a rapid understanding of AFG's data landscape. Next, several user workshops across a broad audience were conducted in order to learn more about business pain points and uncover unique insights.

Throughout the discovery phase, the team collaborated to create an architecture and migration strategy that could be implemented in parallel to its existing data architecture. This approach helped to ease the transition from proprietary tooling to modular, scalable and reversible components that would form the new end-to-end data architecture.

Approach

A design-led approach to discovery

The team employed a comprehensive design-led approach, identifying key themes to shape a new data architecture. This architecture was designed to improve key areas like performance, demand on specific skill sets and vendor lock-in.

AFG’s IT systems were reviewed, processes analysed and documented, and internal SME and user workshops conducted, to identify and improve overall business-critical functions.

It was deemed that a modular, scalable, and reversible way of working provided total flexibility for AFG and made them future-ready, should further changes be required for tooling and demand.

AFG now have greater control of their A&I data processing capabilities; to address their budgets, customer requirements, and business demands.

Telstra Purple have done a great job throughout the engagement, providing detailed and considered recommendations for our future state A&I architecture. The attention to detail has been pivotal in the success of the engagement.

Vanessa Robinson
Head of Analytics & Insights, AFG

Impact

Data driven architecture for continued efficiency

One of the outcomes of this collaboration model included a complete end-to-end data architecture report, presented to the IT team’s Architecture Review Committee. This report documented the entire engagement to showcase methodologies, key insights and pain points discovered, and how these insights drove the decisions in the proposed new data architecture.

It was imperative to ensure that the proposed data architecture could be implemented within AFG's existing environment to help save operational costs. By analysing and understanding AFG’s requirements and recommending solutions that focused on known key internal processing pain points and internal user feedback from a broad audience across AFG, the looming deadline was framed into an exciting impetus for change.

It was recommended that AFG adopt an end-to-end architecture solution, empowering them to utilise the full extent of its A&I data, increase its internal operating efficiencies and open the door for innovative, strategic and data-led decisions.

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