CASE STUDIES

CASE STUDY:
TERTIARY STUDENT RETENTION

Prototyping by uncovering existing data sources that are common across 4 institutions nationwide
Achieving an average ROI of $378,000 per institution per year

Enhancing the core offering by including more accurate information using additional factors such as passenger train and weather data
Collaborating with a cross-functional capability to deliver predictions into an existing solution to ensure a seamless customer experience
Saving 18% of front-line cost at the yard

Ranking alerts based on how likely they are to be suspicious.
Enabling compliance officers to investigate the high-risk alerts first and spend less time on the low-risk alerts and increased their efficiency by 1.8x

All potential high-risk alerts

90%identified in 4h

50%identified in 1h

Conduct ideation on what to do with our data

Work with cross-functional team inc legal to access & anonymise data

Upskill engineering teams to decentralise data science activities

Map out potential use cases, prioritise, develop solutions

Ensures we get and test enough ideas, from a diverse range of expertise, on how to best utilise data

Ensures our approach to data is sound from a legal and ethical perspective

Disseminates knowledge across multiple teams and prevents bottlenecks

Ensures we are delivering value to our overall customer offering, which is current, expected, and state-of-the-art