Article Data Management Data Quality Data Security 
Dataversity
AUGUST 7, 2023
Businesses increasingly rely on real-time data to make informed decisions, improve customer experiences, and gain a competitive edge. However, managing and handling real-time data can be challenging due to its volume, velocity, and variety.
Dataversity
APRIL 22, 2022
As the saying goes, “data is the new oil.” However, in order for data to be truly useful, it needs to be managed effectively. This is where the following 16 internal Data Management best practices come […]. The post 16 Internal Data Management Best Practices appeared first on DATAVERSITY.
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Dataversity
MAY 4, 2021
Regardless of one’s industry or field, every organization always uses data in their everyday operations to help them attain their goals or help monitor their performance. However, without incorporating Data Management best practices, your data analysis may be flawed. […].
Dataversity
DECEMBER 11, 2020
Looking within the lenses of Data Management, data security, and privacy, the same holds true. The internet is awash with data that is […]. The post Why Data Privacy and Data Governance Will Be Even More Mission-Critical in 2021 appeared first on DATAVERSITY.
Dataversity
JANUARY 8, 2024
However, the sheer volume and complexity of data generated by an ever-growing network of connected devices presents unprecedented challenges. The Internet of Things (IoT) has rapidly redefined many aspects of our lives, permeating everywhere from our jobs to our homes and every space in between.
Dataversity
APRIL 18, 2024
Leaders want to avoid these types of issues and rely on sound internal data management to mitigate risk and maintain confidence and […] The post Data-Driven Defense: AI as the New Frontier in Business Security appeared first on DATAVERSITY.
Sisense
AUGUST 28, 2020
However, as a data team member, you know how important data integrity (and a whole host of other aspects of data management) is. In this article, we’ll dig into the core aspects of data integrity, what processes ensure it, and how to deal with data that doesn’t meet your standards.
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