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Datactics Data Quality Suite

By Datactics

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Datactics Data Quality Suite Reviews & Product Details

Datactics Data Quality Suite Media

Datactics Data Quality Suite Demo - ADQ Dashboard Screen
A view of the Dashboard screen for Augmented Data Quality by Datactics
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Datactics Data Quality Suite Reviews (2)

Reviews

Datactics Data Quality Suite Reviews (2)

4.3
2 reviews

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Anant K.
AK
Investment Professional
Small-Business (50 or fewer emp.)
"Solid Value Proposition"
What do you like best about Datactics Data Quality Suite?

Datactics stands out from the other analytics platforms in the market by leveraging AI tools to better cleanse and manage the data. In addition to that, the quality of audit trail is also very robust. It is not just a platform that flags garbage data but also takes useful steps to fix it Review collected by and hosted on G2.com.

What do you dislike about Datactics Data Quality Suite?

I think that Datactics is still early in its life cycle as a result of which the implementation process is still a bit rudimentary. I hope this gets better with time and expertise of the Team Review collected by and hosted on G2.com.

Delia A.
DA
Community Builder
Small-Business (50 or fewer emp.)
"Alot of useful resources for data analysts with an eye-catchy UI."
What do you like best about Datactics Data Quality Suite?

I like that Datactics is a powerful and intuitive data quality solution that allows users to quickly and accurately detect, correct, and standardize data. It provides a comprehensive set of features that enable organizations to quickly and confidently prepare and cleanse data, ensuring that it is accurate and complete. In addition, Datactics enables users to easily create data-driven insights, allowing them to make well-informed decisions. Review collected by and hosted on G2.com.

What do you dislike about Datactics Data Quality Suite?

Like every other website, Datactics can be a little difficult to use for those who are not familiar with the data processing software and its features. Besides that, I do not see any other reason why it shouldn't be used for data science and machine learning. Review collected by and hosted on G2.com.

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