Identifying data-driven opportunities
Together we identify and clarify your data-driven opportunities to innovate and improve performance across sectors within your organization.
Together we identify and clarify your data-driven opportunities to innovate and improve performance across sectors within your organization.
We deliver impactful cutting-edge data analytics and machine learning solutions to help you achieve desired outcomes and gain competitive advantages.
Understanding your data structure and knowing what data to prioritize to your organizational desired outcomes is key. Together we assess, analyze and build your essential data ecosystems.
We capture and visualize data in simple and intuitive ways. The tools we develop break down complexity and optimize operational decision making.
We refine, structure, aggregate and normalize vast amounts of data to help you establish the correct platform to become truly data-driven. By structuring the unstructured we are able to create true and reliable informational insights for better decision-making.
Our team of physicists, engineers, computer scientists, data scientists and researchers can work either within your existing infrastructure and visualization platform, or help you establish new platforms. We work across a variery of platforms and tools delivered by Microsoft Azure, Amazon (AWS), Google Cloud, Tableau, Power BI, Qlik and many more.
With an analytical data-driven approach, and one of the strongest data analytics teams in Scandinavia we assess, identify, analyze and prioritize needs and desired outcomes.
We relate data to business challenges and desired outcomes. We construct datasets from initial raw data and use both internal and external data.
Our team designs, builds and tests predictive models and algorithms, evaluates performance technically and tests effectiveness against business objectives.
We create new insights and simplicity, thereby improving your decision-making process.
We build capabilities to ensure that data-driven decision-making processes are successfully enacted upon across all stakeholder levels.
We believe that the coming decade will be all about using data better. This is where organizations will find their true competitive advantages. We work across a variety of verticals and are here to help organizations unleash their maximum potential through data.
Our advisory board is a who's who of leaders and inspirers from within their fields, providing insight, guidance and best practices.
Dr. habil. Christian Igel is a professor in machine learning at DIKU and Director of SCIENCE AI Centre, University of Copenhagen. He is widely recognized for his knowledge within machine learning / artificial intelligence and has published a vast number of groundbreaking papers within the area of machine learning algorithms.
Christian Igel joined DIKU in 2010 and has been Director of Science AI Centre since 2018, which is set out to strengthen research and collaborations within artificial intelligence across the Faculty of Science and to manifest University of Copenhagen as a key player within artificial intelligence.