The client had the following challenges:
With such a large subscriber base, one of the main challenges the client faced was the sheer magnitude of datasets, meaning running scripts would take significant periods of time.
- Data-informed stakeholders
Different stakeholders within the business needed data to make informed decisions, a process that involved manipulating and building large datasets and evaluating and presenting the results to the wider team.
The client wanted to know how they could target their campaigns to the appropriate customers and increase engagements using historical data. This would need to be done by creating machine learning models using extremely large volumes of data.