The Cost of Bad Data
What Automatic CRM Record Repair Actually Does to Your Data Debt Ledger Over Time
Automatic repair slows data debt's spread, but only sustained governance prevents it from returning.
Tomás Berquist
· 8 min read
The Reliability Ledger
The Cost of Bad Data
The Deduplication Decision Framework Your Data Steward Actually Needs Before Touching a Contact Record
Define your merge rules before your steward touches a single contact record.
Garrett Siu9 min read
The Cost of Bad Data
When Your CRM Is Drowning in Duplicates and Broken Hierarchies Start Here
Fix duplicate records and broken links before they corrupt your pipeline and reporting.
Tomás Berquist8 min read
The Cost of Bad Data
The Data Reliability Case for Auditing Duplicate Accounts and Broken Hierarchies Before They Compound
Fixing duplicate accounts now prevents errors from cascading through sales and AI.
Garrett Siu9 min read
The Cost of Bad Data
Enterprise CRM Deduplication and Hierarchy Vendors Evaluated Against Real Data Debt
Test deduplication vendors against your actual data, not their polished demos.
Priya Nambiar9 min read
The Cost of Bad Data
Why CRM Data Degrades and the Operational Debt It Leaves Behind
Four structural forces degrade CRM data faster than cleanup can repair it.
Garrett Siu9 min read
The Cost of Bad Data
Deduplicating and Merging CRM Records at Scale Without Breaking Parent-Child Relationships
Preserve CRM relationships by merging parents first and defining survivorship rules upfront.
Tomás Berquist9 min read
DataOps Practices
Data Ownership Models for Cross-Functional Analytics Teams
Choosing the right model determines who answers for data quality as organizations scale.
Priya Nambiar8 min read
DataOps Practices
Data Quality SLAs Between Data Teams and Business Stakeholders
Measuring data quality requires named owners, clear targets, and a remediation path.
Garrett Siu8 min read
DataOps Practices
Measuring DataOps Team Performance With Reliability Metrics
Trust reliability metrics, not just pipeline uptime, to measure DataOps team maturity.
Adaeze Okonkwo8 min read
DataOps Practices
Data Contract Standards Between Producers and Consumers
Enforcement at data boundaries prevents breaking changes from cascading to consumers.
Tomás Berquist9 min read
DataOps Practices
Runbook Design for Recurring Data Quality Issues
Standardized runbook design closes the gaps that let recurring data quality issues resurface.
Garrett Siu12 min read
