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BiG EVAL

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15 reviews
  • 1 profiles
  • 2 categories
Average star rating
4.7
Serving customers since
2010

Profile Name

Star Rating

13
2
0
0
0

BiG EVAL Reviews

Review Filters
Profile Name
Star Rating
13
2
0
0
0
Verified User in Retail
IR
Verified User in Retail
05/19/2023
Validated Reviewer
Review source: G2 Gives Campaign
Incentivized Review

Reach high quality for your data

Well designed GUI and well balanced opportunities of test methods
Patrick H.
PH
Patrick H.
CCO & Channel Chief | Technology Evangelist | Public Speaker | AI, Intelligent Automation
05/18/2023
Validated Reviewer
Verified Current User
Review source: Organic

Data Quality made easy to use and scale across the business

Easy to use for any type of user and by the looks of it, the upcoming AI features will make it even easier to use. Helped us improve our data quality and massively speed up our testing efforts. Quick ROI for us with a short time to implement thanks to the gallery that got us started very quickly.
CW
Chris W.
05/17/2023
Validated Reviewer
Review source: Seller invite
Incentivized Review

BiG EVAL Review

The standout feature of BiG EVAl for me was its comprehensive and powerful data testing and quality management capabilities. The fact that BiG EVAL simplifies the process of data testing by automating enables significant time saving and effort when compared to manual testing.

About

Contact

HQ Location:
Kloten, ZH

Social

@BiGEVAL

What is BiG EVAL?

BiG EVAL is a software solution designed to enhance data quality and ensure governance within business processes. It offers a comprehensive suite of tools for data validation, testing, and monitoring, allowing organizations to maintain accurate and reliable data across various platforms. The platform facilitates automated data testing and validation, enabling businesses to detect discrepancies, ensure compliance, and improve decision-making through enhanced data integrity. Additionally, BiG EVAL supports integrations with numerous data sources, providing a seamless approach to managing data quality initiatives.

Details

Year Founded
2010