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The challenge

Our client, one of Australia’s leading roadside assistance wholesalers, has invested significantly over many years in the development of transactional and financial platforms to deliver their service offerings to clients. However, their reporting and analytical requirements were not being met through these operational systems.

Delivering business intelligence was highly manual, labour intensive and unsustainable as our client’s appetite for more and better information increased. Their competitors were starting to differentiate themselves by providing in-depth reporting and dashboards to their clients.

Our mission was to help leverage our client’s extensive data sets and to deliver valuable insights both internally and for the benefit of their clients.

Data and analytics solution

To satisfy the needs of our client, we delivered a data lake to serve as a powerful, consolidated point of access to operational data. It provided the platform necessary to allow data users to execute complex analytical queries, merging inputs across multiple operational data sets. The data lake was designed to support both ad-hoc data analysis, as well as serve as a foundation for all downstream business intelligence reporting applications.

The Acceler8 Data Foundation framework was used to fast-track the development of the data integration platform via out-of-the-box design patterns, error handling, templates and automated ETL generation. This shifted the focus from data integration to visualisation, and delivering a rich suite of reports and dashboards across the unified data source

Results

We were able to equip our client with user-friendly, cost effective, self-service business intelligence: We provided a solution that could be used to deliver high quality business insights to their clients, and that individual users could independently use to discover new value-adding information without needing expert-level systems expertise. Our approach significantly reduced the cost and inefficiencies of each business intelligence and analytics initiative, as well as the organisational risk associated with discrepancies in published results.

The introduction of standardised data management, rigorous audit control and quality monitoring, shifted the focus from data collection and validation to discovery and much higher levels of client (external) and staff (internal) service.

All of this was achieved by using data our client already had. Contact us to find out how you can start doing more with your own data.