Data Conversations
@dataconversations.bsky.social
Data Conversations is a Creative Europe project aims to empower the Cultural Sector through Data, Creativity, and Digital Innovation.
EU GA 101173136 - Views and opinions expressed are those of the authors only and do not reflect those of the EU or EACEA
EU GA 101173136 - Views and opinions expressed are those of the authors only and do not reflect those of the EU or EACEA
Collecting data without an adequate strategy is like eating a bland soup that doesn't give you the results you expected.
Data doesn't guarantee useful results, if it's not contextualised.
How data can fit your purposes? Follow us on:
📌 dataconversations.eu/blog/a-matte...
Data doesn't guarantee useful results, if it's not contextualised.
How data can fit your purposes? Follow us on:
📌 dataconversations.eu/blog/a-matte...
October 30, 2025 at 9:35 AM
Collecting data without an adequate strategy is like eating a bland soup that doesn't give you the results you expected.
Data doesn't guarantee useful results, if it's not contextualised.
How data can fit your purposes? Follow us on:
📌 dataconversations.eu/blog/a-matte...
Data doesn't guarantee useful results, if it's not contextualised.
How data can fit your purposes? Follow us on:
📌 dataconversations.eu/blog/a-matte...
Number of visitors, social interactions, ticket sales...
Data can be collected in massive quantities but if this data isn't contextualised it remains an unusable block.
How to recognise these traps and move towards a better usage of data? Read on:
📌 dataconversations.eu/blog/too-big...
Data can be collected in massive quantities but if this data isn't contextualised it remains an unusable block.
How to recognise these traps and move towards a better usage of data? Read on:
📌 dataconversations.eu/blog/too-big...
October 23, 2025 at 12:16 PM
Number of visitors, social interactions, ticket sales...
Data can be collected in massive quantities but if this data isn't contextualised it remains an unusable block.
How to recognise these traps and move towards a better usage of data? Read on:
📌 dataconversations.eu/blog/too-big...
Data can be collected in massive quantities but if this data isn't contextualised it remains an unusable block.
How to recognise these traps and move towards a better usage of data? Read on:
📌 dataconversations.eu/blog/too-big...