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Be(come) Data Fluent
Read the latest trends on big data, data cataloging, data governance and more on Zeenea’s data blog.
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Guide to Data Quality Management #2 – The challenges and risks associated with Data Quality
Data Quality refers to an organization’s ability to maintain the quality of its data in time. If we were to take ...
Guide to Data Quality Management #1 – The 9 Dimensions of Data Quality
Data Quality refers to an organization’s ability to maintain the quality of its data in time. If we were to take ...
What is the difference between data governance and data management?
In a world where companies aspire to become data-driven, data management and data governance are concepts that ...
The 5 product values that strengthen Zeenea’s team cohesion & customer experience
To remain competitive, organizations must make decisions quickly, as the slightest mistake can lead to a waste of ...
Zeenea is now SOC 2 Type II compliant
Faced with the increase in cyber threats, organizations endure a slew of customer requests for security assurance. ...
Interview with Ruben Marco Ganzaroli – CDO at Autostrade per l’Italia
We are pleased to have been selected by Autostrade per l'Italia - a European leader among concessionaires for the ...
What makes a data catalog “smart”? #5 – User Experience
A data catalog harnesses enormous amounts of very diverse information - and its volume will grow ...
What makes a data catalog “smart”? #4 – The search engine
A data catalog harnesses enormous amounts of very diverse information - and its volume will grow ...
What makes a data catalog “smart”? #3 – Metadata Management
A data catalog harnesses enormous amounts of very diverse information - and its volume will grow ...
What makes a data catalog “smart”? #2 – The Data Inventory
A data catalog harnesses enormous amounts of very diverse information - and its volume will grow ...
What makes a data catalog “smart”? #1 – Metamodeling
A data catalog harnesses enormous amounts of very diverse information - and its volume will grow ...
What is data fragmentation and how to overcome it?
Data-driven companies do everything they can to efficiently collect and exploit data. But if they are not careful, ...
