Data Science

Haskoning, your go-to advisor for Data Science in the built environment, from strategy to implementation

Why Haskoning for Data Science?

Data science emerges from the combination of computer science (coding), math (statistics) and domain knowledge. Domain knowledge is vital to determine meaningful use-cases, required input data, and model performance requirements. At Haskoning, we have gained ample experience working together with clients for over 140 years. We understand your processes and assets, and the challenges we all face today including climate change and shortages in labour. We now leverage this knowledge in our Digital Business Line to offer a holistic array of services, ranging from data strategy to implementation. Whether you are still wondering what data science could mean for your organization, are ready to create your first pilot, or already have a range of solutions deployed in practice, we can help you take the next step in your digital transformation journey.

Why use data science in my industry?

Data science can help you to automate and improve manual processes across a wide range of tasks.

Reduce operational costs and improve sustainability

reduce resource and energy usage, minimize waste

Reduce reliance on skilled operational staff

address the wave of retirement, 24/7/365 decision support

Prevent downtime

detect inefficiencies in your processes before they become problems

Comply with legislation

forecast upcoming breaches so you can act to prevent them

Unique offer with three essentials from Haskoning

Digital Consultancy

Curious how data science can add value for your organisation? Haskoning’s Novius hosts experienced Analytics translators that help you refine strategy, define and prioritise use-cases, and suggest a roadmap for required processes, people and technology.

More about Novius

Data Solutions

Once valuable and clear use-cases are defined, our expert data-scientists, data-engineers and GIS-specialists help you build data platforms, dashboards and machine learning models.

For example, to detect structures and vegetation from aerial images. Or to detect anomalies from sensor data. Or to forecast overflows and flooding. Or to optimize your supply chain. And much more...

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Software Solutions

When machine learning models have proven value in a pilot, they can be deployed in production to start impacting your live operations. Twinn’s Machine Learning Platform is developed specifically for this purpose.

Twinn also offers Aquasuite, a range of off-the-shelf AI-driven software products to analyse and control processes in the water sector.

More about Twinn

Python package for time series models

The open-source python package that we built internally can help you easily create time series machine learning models. Automate feature engineering and use our neural network templates.

Machine Learning platform

Bring your model to life by connecting it to live data, tracking drift, scaling to many locations, and much more.

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Trainings

Data Science traineeship

A 1-year program that we offer to water utilities to train data scientists, data engineers and analytics translators. We help water utilities define how data science can be of value to the sector, and how to actually build data science solutions.

Analytics translator course

This 3-day course helps you become an interpreter that ensures that the worlds of business and data communicate with each other. Only by connecting the strategic, tactical and operational worlds can data science start to add real value.

MauriceWillekens

Business development Water