Data Technologies

  • ADASA’s state-of-the-art data platforms meet a broader range of analytical requirements and workloads, such as real-time analytics, data science and more. Allow better scalability and enable easy access to data via interfaces. Security, data governance and data discovery are all viable functions, too.
  • Powerful data pipeline tools allow authorised users, such as data engineers and data scientists, to write, deploy and monitor data workflows. Data visualisation and data dissemination tools, including dashboards, automated reports and REST APIs, present the information in useful and meaningful ways. Share logic and findings through interactive notebooks.

Internet of Things
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Machine Learning
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Geospatial Data Technologies
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Big Data & Analytics
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Dispersion Models
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Modelling
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Convert complex data into meaningful information and improve thinking and decision-making with analysis of raw data.

See our work

WaterInsights

WaterInsights

WaterNSW

Sydney, Australia

Building customer confidence through insight into decision making.

Operational and Planning System

Operational and Planning System

Murrumbidgee Irrigation Ltd.

Griffith, Australia

Enhancing asset management and customer service levels through business intelligence.

Service Cost Modelling

Service Cost Modelling

Goulburn-Murray Water Corporation

Tatura, Australia

Using machine learning to reduce asset management costs without compromising service levels.

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