Case Study: Instituto Colombiano para la Evaluación de la Educación (ICFES) saves time and improves decision-making with Data Ladder's DataMatch Enterprise

A Data Ladder Case Study

Preview of the ICFES Case Study

Saving time making the best decisions

ICFES (Instituto Colombiano para la Evaluación de la Educación) manages nationwide student data and faced very large, poorly structured databases with widespread duplicate records and other quality issues. These problems forced extensive manual processing, causing delays in control and information workflows. To address this, ICFES partnered with Data Ladder and implemented DataMatch Enterprise™ to tackle duplication and data-quality challenges.

Data Ladder implemented DataMatch Enterprise™ to automate duplicate detection and streamline data processing, which decreased labor hours, simplified integration, and improved decision making for ICFES. The vendor’s solution resolved the institute’s record-duplication issues and delivered measurable gains in matching accuracy and operational efficiency—DataMatch Enterprise™ has been shown in studies to find approximately 5–12% more matches than leading competitors.


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ICFES

Adriana Arboleda

Leader of the Data Quality Group


Data Ladder

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