Case Study: Česká pojišťovna achieves over 90% data‑cleansing success and reliable, error‑free client records with SAS Data Quality

What are the benefits of improving data quality?

Česká pojišťovna (ČP), the Czech Republic’s largest insurer with over 9 million active policies and a legacy of client records going back to punch cards, faced severe data-quality issues in an aging life-insurance system holding millions of policies and claims. Inconsistencies and duplications—missing diacritics, invalid or gender-mismatched national IDs, combined name/title fields, obsolete postcodes, heavy abbreviations and misplaced remarks—caused mismatches between policies and claims, incorrect premiums and blocked migration to a modern platform.

ČP deployed SAS Data Quality to cleanse and deduplicate its primary client database. Over a four-month project more than 20 million historical records across policies and claims were processed, achieving better than a 90% success rate for cleansed or verified records, resulting in more consistent, error-reduced data and enabling reliable downstream systems and future system migration.

Česká pojišťovna

Štepán Cábelka

Head of Data Quality