Valuable data insights that inform marketing strategy.

We used BryteFlow software to built a data lake that maps the journey of a student from sign-up to course completion. The data insights served to pinpoint signs of student disengagement.

Valuable data insights that inform marketing strategy.

We used BryteFlow software to built a data lake that maps the journey of a student from sign-up to course completion. The data insights served to pinpoint signs of student disengagement.

The team at Bryte recently helped us with some complex work in order to build a near-real time Data Hub on AWS featuring Amazon S3, EMR and Redshift. At all times in dealing with them they were professional, knowledgeable and willing to go above and beyond to help us, not only with the complicated design effort, but also with the implementation of that design.

Rob Pickering,

Head of IT
INDUSTRY: EDUCATION

Open Universities

Key Benefits
  • Data-as-a-Service platform on Amazon Redshift and Amazon S3 provided the business a self-serve platform and increased efficiencies as data was always available to be consumed for analytics.
  • They could map the student journey from sign-up to course completion and spot signs of disengagement immediately.
  • Marketing efficiencies – helped in pinpointing and focusing on the marketing initiatives that worked.
Client

Open Universities Australia is an online higher education organisation based in Australia.

Challenges
  • Each business unit was working out their own way of accessing the data, leading to waste of analysts’ time and lengthy access processes.
  • This was also putting undue load on the sources as each business unit accessed data individually.
  • No single source of truth was available.
Solution

BryteFlow software was used to build a near real-time Data-as-a service platform on AWS featuring Amazon S3, EMR and Redshift. This delivered a centralised repository for access for analytics and data science and saved weeks of lost analyst time by providing easy access to the data.

Results
  • Achieved cost efficiencies with a cost-effective platform and a pay-a-you-go model.
  • Productivity gains for analytics and model building.
  • Single source of truth for all data analytics use cases helped verify accuracy of the data.

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