DataBuck Trial Request

Data that cannot be trusted will

• Produce inaccurate analytics and reports, and poor business decisions.
• Cause loss of confidence in the IT team’s abilities
• Increase data rework and cost of operations to fix bad data by over 10x

DataBuck helps Data Management teams validate complex data by using automated, no-code ML to detect data errors before they infect multiple systems downstream without needing to hire and train teams of staff OR develop a custom solution on their own. Without coding or human touch, DataBuck objectively establishes Data Trust Reports for every dataset from Lake to consumption (L2C). This:

• Will create transparency to Data Trustability throughout the pipeline
• Will cut data rework efforts by 90%
• Increase analytical models’ accuracy by 70%