Practical guides on Salesforce data quality, CRM hygiene and AI readiness — from the Data Quality Sense team.
See all articles
Artur KolasaA free AI data readiness assessment: 20 yes/no questions grouped by data quality dimension, plus a red/yellow/green scoring rubric to run before any AI project.
Michał BajdekSalesforce duplicate rules prevent new dupes at save time but miss existing records, API loads, and cross-object matches. Where they stop and what to do.
Michał BajdekSalesforce reports showing wrong numbers? A diagnostic decision tree to tell report config, permission, and data problems apart, and fix the data at the source.
Artur KolasaA week-by-week Salesforce data cleanup plan with owners, effort ranges, and a clear done definition for each phase, from baseline scan to lasting guardrails.
Michał BajdekB2B contact data decays 22-30% a year through job changes. See which Salesforce fields rot fastest, the two-year math, and how to detect stale records.
Michał BajdekA practical cadence for cleaning CRM data: what to check weekly, monthly, and quarterly, who owns each task, and how to keep the schedule from slipping.
Michał BajdekCRM projects fail more from lost rep trust than bad software. See the dirty data death spiral, the symptoms team by team, and how to break the loop for good.
Michał BajdekBad Salesforce data has a price. Learn the famous stats, the five cost buckets that hit your org, and a formula to calculate your own number in minutes.
Artur KolasaA copy-ready business case template for data quality: quantify the annual cost, run a cheap pilot, and show finance a payback period they will approve.
Artur KolasaAI agents fail in production far more than in demos. The usual cause is not the model but the data feeding it. Here is what breaks, why, and how to gate it.
Artur KolasaStop AI agents from hallucinating on CRM data with a 4-layer checklist: grounding hygiene, the data itself, pre-launch data gates, and honest evaluations.
Artur Kolasa
Co-Founder, Data Quality Sense
Michał Bajdek
Co-Founder, Data Quality Sense
