Autonomous Trust-Score for Data Go beyond Data Observability, measure Data Trustability with AI/ML
BUCK - Generative AI for Data Trustability
Webinar on the use of generative AI for autonomously monitoring Data Trustability. Register for access.
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
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
boost >80%
Reduction in unexpected errors: 70%
Cost reduction >50%
Time reduction to onboard data set ~90%
Increase in processing speed >10x
Cloud native
Learn More About DataBuck Modules
Module 1
Observability
DataBuck’s unified Observability platform:
Powered by Machine Learning, DataBuck is an advanced Observability tool that prevents critical data issues before it breaks the data pipeline or reaches the data users.
Module 2
Trustability
Beyond Observability:
ML-powered Data Trustability
Measure the trustworthiness and usability of data on the cloud, and 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 that autonomously validates 1,000’s of data sets in a few clicks, with lower data maintenance work & costs.
Module 4
Data Matching
Cross Platform Data Matching powered by ML:
Reconcile complex data across multiple platforms automatically using no-code Machine Learning to detect errors before they infect multiple systems downstream.
In The News Popular publications features FirstEigen
DataBuck customer, Roland Doummar, SVP, Head of Data Gov. First Abu Dhabi Bank, and his team were awarded the Best Use Case of Data Management for 2023 at the Middle East banking AI & Analytics summit #MEBANKINGAI.
Published in Entrepreneur.com
Strategies for Achieving Data Quality in the Cloud
With more and more applications moving to the cloud, the quality of data is becoming a growing concern. Erroneous data can cause all sorts of problems for businesses.
Published in Dataversity
How to Leverage Machine Learning to Identify Data Errors in a Data Lake
A data lake becomes a data swamp in the absence of comprehensive data quality validation and does not offer a clear link to value creation.
Simplify Data Quality Monitoring and Data Quality Validation with DataBuck
Gartner Cool Vendor Award for Data Validation & Data Quality
IDC Innovator Award in
Data Quality
Recognized by Eckerson Group for Data Validation
Recognized by GigaOm for Data Validation
Recognized by CIOReview for Data Quality
Recognized by Intellyx for Data Validation
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.
Technology Partners
