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Datactics

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2 reviews
  • 1 profiles
  • 1 categories
Average star rating
4.3
Serving customers since
1999

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Datactics Reviews

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Star Rating
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Anant K.
AK
Anant K.
Multiples PE | CA (Final-AIR 31, Inter-AIR 32) | Gold Medalist- St. Xavier's College, Kolkata | AIR 3 (ISC)
06/14/2024
Validated Reviewer
Review source: G2 invite
Incentivized Review

Solid Value Proposition

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
Delia A.
DA
Delia A.
AWS Community Builder
12/09/2022
Validated Reviewer
Verified Current User
Review source: G2 invite
Incentivized Review

Alot of useful resources for data analysts with an eye-catchy UI.

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.

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HQ Location:
Belfast, Northern Ireland, United Kingdom

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What is Datactics?

Datactics is a company focused on providing innovative data quality and matching software to various industries, including finance, healthcare, and government. With a robust platform that simplifies data management and governance, Datactics empowers organizations to achieve data accuracy and consistency, facilitating seamless integrations and reliable analytics. Their solutions are designed to help clients quickly clean and match vast datasets, enabling better decision-making and operational efficiencies. By emphasizing self-service data quality and powerful data matching capabilities, Datactics meets the growing demand for scalable, high-quality data solutions in a data-centric world.

Details

Year Founded
1999