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Autonomous Cloud Data Monitoring and Validation
Data error is data-cancer. Hard to detect and spreads fastDetect data
errors early and autonomously with AI/ML
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)
Current data monitoring and validation tools
and processes fare very poorly under these
conditions listed below, and DataBuck is
perfect for these:
WHEN IS DATABUCK POWERFUL?
DataBuck is an autonomous
data quality validation s/w.
It automatically detects
100% of all Systems Risks
with minimal human
intervention using AI/ML.
WHAT IS DATABUCK?
FINANCIAL
SERVICES
HI TECH STREAMING
HEALTHCARE RETAIL
ORGANIZATIONS THAT TRUST DATABUCK
Trustability
DATABUCK MODULES
DataBuck
People productivity
boost >80%
Reduction in unexpected
errors: 70%
Cost reduction >50%
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.
DATA-CANCER
www.firsteigen.com
Cloud native
Increase in processing
speed >10x
Time reduction to
onboard data set ~90%
Observability Data Quality
DataBuck’s unified
Observability platform
prevents critical data
issues before it breaks
the data pipeline or
reaches the data users.
Beyond Observability:
ML-powered Data
Trustability
Measure the trustworthiness
and usability of data on the
cloud, without IT intervention.
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

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DataBuck - Detect data errors early with FirstEigen

  • 1. Autonomous Cloud Data Monitoring and Validation Data error is data-cancer. Hard to detect and spreads fastDetect data errors early and autonomously with AI/ML 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) Current data monitoring and validation tools and processes fare very poorly under these conditions listed below, and DataBuck is perfect for these: WHEN IS DATABUCK POWERFUL? DataBuck is an autonomous data quality validation s/w. It automatically detects 100% of all Systems Risks with minimal human intervention using AI/ML. WHAT IS DATABUCK? FINANCIAL SERVICES HI TECH STREAMING HEALTHCARE RETAIL ORGANIZATIONS THAT TRUST DATABUCK Trustability DATABUCK MODULES DataBuck People productivity boost >80% Reduction in unexpected errors: 70% Cost reduction >50% 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. DATA-CANCER www.firsteigen.com Cloud native Increase in processing speed >10x Time reduction to onboard data set ~90% Observability Data Quality DataBuck’s unified Observability platform prevents critical data issues before it breaks the data pipeline or reaches the data users. Beyond Observability: ML-powered Data Trustability Measure the trustworthiness and usability of data on the cloud, without IT intervention. 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