Data error is data-cancer. Hard to detect and spreads fast Detect data errors early and autonomously with AI/ML

Trusted data, without coding

Autonomous Data Monitoring for Cloud and Lake

Data Warehouses, Lakes and Clouds are notoriously error prone. The process of validating their Data Quality (DQ) is laborious manual work and is far from satisfactory. Unfortunately, >95% of your data is dark data – unmonitored, unvalidated and unreliable. Every step it moves downstream, errors get exponentially compounded. It takes 10x cost to fix it, if you can detect it all. What you don’t detect is unmitigated business risk.

What Is DataBuck?

Data errors due to “Systems Risks” are the biggest contributors to untrustworthy data. As ETL jobs move data around, errors creep in and steadily multiply like cancer across an enterprise. For every step the error spreads, it takes 10x more cost and effort to fix it.

DataBuck is an autonomous data quality validation s/w. It automatically detects 100% of all Systems Risks with minimal human intervention using AI/ML. It automatically sets 1,000s of validation checks and their thresholds. It is >10x faster than any other tool or your own custom scripts. AI/ML enables the tool to be set up and validate entire databases or schemas in just a few clicks.

Customer’s report benefits of:

(i) Higher trust in reports, analytics & models
(ii) Lower data maintenance work & cost
(iii) 10x efficiency in scaling Data Quality ops

First Eigen

When is DataBuck powerful?

Current data monitoring and validation tools and processes fare very poorly under these conditions listed below, and DataBuck is perfect for these:

  • Cloud/Lake use
  • Dynamic data, for example, operational and transactional data
  • The high volume of data
  • New sources or changing structures of data
  • Data is being used for purposes it was not intended for when it was collected. (New uses for data)
People Productivity

People productivity
boost >80%

Reduction in unexpected errors

Reduction in unexpected errors: 70%

Cost reduction

Cost reduction >50%

Time reduction to onboard data set

Time reduction to onboard data set ~90%

Increase in processing speed

Increase in processing speed >10x

Cloud native

Cloud native

Learn More About DataBuck Modules

Module 1

Observability

DataBuck’s unified Observability platform prevents critical data issues before it breaks the data pipeline or reaches the data users. 

Powered by Machine Learning, DataBuck is an advanced Observability tool. It autonomously observes critical errors at all points in the data pipeline and alerts data engineers to control data flow.

Module 2

Trustability

Beyond Observability:
ML-powered Data Trustability

Measure the trustworthiness and usability of data on the cloud, without IT intervention.

Monitor Data Trustability across the entire data pipeline with the help of DataBuck's Trustability Module.

Module 3

Data Quality

Autonomous Data Quality Validation

DataBuck is an automated data monitoring and validation software.

Autonomously validate 1,000’s of data sets in a few clicks
10x in scaling Data Quality operations
Lower data maintenance work & cost

What DataBuck users say…

In The News Entrepreneur Magazine features FirstEigen

entrepreneur-logo
Published in Entrepreneur.com

Strategies for Achieving Data Quality in the Cloud

Adopting a strategy for achieving data quality in the cloud is essential for any business that relies on data. By considering the factors that contribute to data quality issues and putting processes and tools in place, you can ensure the highest-quality data, and your cloud data projects will have a greater chance of success.

Simplify Data Quality Monitoring and Data Quality Validation with DataBuck

Gartner Cool Vendor Award for Data Validation & Data Quality

An innovative tool that Gartner has recognized has the potential to change the big Data landscape. Big Data Quality Validation and Data Matching is done autonomously and effortlessly by Machine Learning algorithms that learn the expected behavior of data without manual intervention. Without coding, Data Quality deviations are picked out.

IDC Innovator Award in
Data Quality

AI/ML-powered Data Quality validation tool, DataBuck, was recognized by IDC for innovative solution in the DQ space. DataBuck’s AI/ML-powered business rule discovery automates a tedious, labor intensive and time consuming process for validating Data Quality from 6-9 months to just a few days.

Machine Learning-Guided Cloud, Lake Data Monitoring and Validation Tool

DataBuck can validate your Big Data autonomously and at 10x the speed of any other data validation tool or your own custom scripts. Clean data in 3 clicks with no coding.

Privacy of our customers is important to us, a sample of a few organizations that trust DataBuck

  • Bank

    Financial Services

    •  Top-3 US Bank
    •  Top-3 African bank
    •  Top-3 Middle Eastern bank

     

  • Healthcare

    Healthcare

    •  Top-10 US Hospital
    •  Top Telehealth provider

  • Hi Tech

    Hi Tech

    •  Fortune-50 Hi Tech manufacturer

  • Retail

    Retail

    Top-3 Retail IoT services provider

  • Streaming

    Streaming

    •  Top-3 Streaming music service

  • Government

    Government

    •  3rd largest city is US

Privacy of our customers is important to us, a sample of a few organizations that trust DataBuck

  • Bank

    Financial Services

    •  Top-3 US Bank
    •  Top-3 African bank

  • Healthcare

    Healthcare

    •  Top-10 US Hospital
    •  Top Telehealth provider

  • Hi Tech

    Hi Tech

    •  Fortune-50 Hi Tech manufacturer

  • Retail

    Retail

    Top-3 Retail IoT services provider

  • Streaming

    Streaming

    •  Top-3 Streaming music service

  • Government

    Government

    •  3rd largest city is US

Get Started With DataBuck Today!