Digital Aalto

Data literacy for Aalto community

Data is needed daily to support any collaboration and decision-making, and its amount is constantly increasing. Research work is naturally based on data, but in our operations data is still underutilised. Start your journey towards data-driven way of working already today!

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Data is the new water 

You may have heard the phrase “data is the new oil”. We want to challenge this by proposing “data is the new water”. Oil is a limited and unsustainable resource – where water is a renewable natural resource, there’s plenty of it, it is precious, and everybody needs it to stay alive. What do you think?

There is more data than ever before – how can we ensure its quality?

Today, the challenge is to be able to utilize all the available data we have – and above all – to ensure its quality. These are the preconditions for us to develop truly better solutions. What opportunities could universities offer, if we could take advantage of all the data available?

Data management affects all core areas of our university

Collecting, utilizing, managing data and providing opportunities based on it affects all of Aalto University's core areas - research, teaching, social impact, and lifelong learning. Utilizing data is no longer an option or a choice, it is an enabling factor of all activities. 

Watch videos: Thoughts about data-driven university

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Ilkka Niemelä, President
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Teppo Heiskanen, Head of Advancement and Corporate Engagement
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Kati Hagros, Chief Digital Officer

Data literacy for Aalto community

Data is needed daily to support cooperation and decision-making, and it is vital when developing new solutions.
Without the ability to swim, water may feel scary. Without data literacy, data is only numbers without any meaning. Good data literacy skills will be increasingly important in the future. It’s a skill you can learn by experimenting courageously!

    Data literacy step 1 with text: I think about data

    I think about data 

    I am interested in data. I understand how data can support me in my work. I know data sources relevant to my work. I utilise existing dashboards and reports of data. 
     

    Data literacy step 2 with text: I understand data

    I understand data

    I apply data in my everyday work. I am familiar with the needed tools. I understand what master data is and why it is important. I combine data sources effectively. I create reports and visualisation of data.
     

    Data literacy step 3 with text: I love data

    I love data

    I experiment with data. I develop data beyond the existing tools. I combine data from different domains. I create new analytics.

    The picture shows Professor Henri Schildt. Photo: Mortti Saarnia / Aalto University.

    To understand what we want to accomplish as an organization require us to dig deeper into what data sources we can access.

    Henri Schildt, professor
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