Data Science Team Development
In this case study, we take a high-level look at how a large New Zealand Water Utility company partnered with Harmonic to quickly set up and develop the right data science capabilities they needed to tackle a range of business challenges, laying the foundation for future growth.
As part of a major business transformation, a large New Zealand Water Utility company wanted to utilise analytics and insights to drive operational decision making and planning. To support this objective, they required increased data science capability to quickly develop and deploy proofs of concept projects coming from their change programme.
Harmonic worked closely with the Utilities’ teams to provide data science team development. By helping with recruitment, setting a data science cloud platform and providing ongoing technical mentoring (data science best practices and expertise), Harmonic enabled the utility company to quickly build up to a team of five data scientists and accelerated solution development.
As data science capabilities have advanced, the team has tackled a wide variety of business problems together, including using machine learning to predict wastewater overflows and analysis of wastewater infrastructure performance in wet weather.
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