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We analyzed hundreds of warehouses and millions of
tables to help you understand the true cost of your data
downtime.
(It's greater than you think).
A companion guide to the Data Quality Value Calculator
How much does bad
data cost YOU?

Table of Contents
Why we built the Data Quality Value Calculator
How to interpret your results
What is data downtime and how does it happen?
What is data observability and how does it reduce data downtime?
How data observability is different than testing and monitoring
Why companies underestimate their bad data problem
The consequences of data downtime are becoming more severe
7 signs it’s time to invest in data quality
Annual data incidents
Annual data downtime
Annual data downtime labor cost
Annual data downtime efficiency cost
Annual savings with data observability
Bonus: Data quality drives revenue too
Bonus: Calculating build vs. buy
Choozle
Resident
Blinkist
Resources
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I. Introduction
II. Understanding Data Downtime and Data Observability
III. The Cost of Data Downtime
IV. How We Calculate The Value of Data Quality
V. Real World Results: Data Observability In Action
VI. Additional Resources















































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Data Quality Management: 6 Stages For Scaling Data Reliability
Check out these proven data quality management strategies used by today’s
leading data teams to build highly reliable and scalable systems.
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webpage:Data Quality Value Calculator

webpage:How BlaBlaCar Reduced Data Incident Time To Resolution By 100+ Hours Per
Quarter With Monte Carlo

pdf:How Much Does Bad Data Cost You?

webpage:Data Quality Management: 6 Stages For Scaling Data Reliability

webpage:Data Quality Solutions: Build Or Buy? 4 Things To Know

webpage:How To Make Data Anomaly Resolution Less Cartoonish

webpage:The Ultimate Guide To Data Lineage

webpage:Delivering On Data Quality: How Choozle Reduced Data Downtime By 88%
With Monte Carlo

pdf:2022 State of Data Quality Survey

null:How to Design Reliable Data Systems at Scale
Product Tour




REQUEST A DEMO

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within 24 hours.
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