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Data Validation

Data Validation

Data-validation tools test whether information is complete, consistent, timely, correctly formatted, and appropriate for its intended use.

By applying shared rules before data reaches reports or downstream systems, districts can catch problems early, assign corrections, and build greater confidence in decisions and required submissions.

What these systems support

  • Business rules, format checks, cross-field tests, and duplicate detection
  • Exception queues, ownership, correction workflows, and rechecks
  • Quality dashboards, certification, reconciliation, and audit history

Note: SDLA does not endorse or resell any of the systems listed on this site.

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2 results - showing 1 - 2
Certica (Now a part of Instructure) logo
Certica (Now a part of Instructure)

Product Details

Website
https://community.instructure.com/en/kb/elevate_data_quality-guide
Overview

Instructure Elevate Data Quality, formerly Certify by Certica Solutions, is a K–12 data-validation platform that runs maintained business rules against student information and state-reporting data. It identifies missing, conflicting, illogical, or out-of-range records and delivers role-specific results to the district and school staff responsible for correcting them.

A validation rule connects an expected data condition with a source record that may need correction. School data owners and district reporting teams share responsibility for resolving findings before reuse. A reported issue becomes a lasting improvement when the source owner reviews and corrects it. Validation and final reporting approval remain related but separate responsibilities.

Level Data State Validation Service logo
Level Data State Validation Service

Product Details

Website
https://www.leveldata.com
Overview

Level Data State Validation is a PowerSchool-embedded data-quality service that applies state-specific and district-defined business rules to student information. It identifies missing or inconsistent records and presents findings for the staff responsible for maintaining the source data.

Validation findings connect reporting rules with the staff who maintain the source fields. Correcting a record in the SIS preserves the improvement for later extracts and operational uses. A reported issue becomes a lasting improvement when the source owner reviews and corrects it. Validation and final reporting approval remain related but separate responsibilities.

2 results - showing 1 - 2