Service

GIS Data Quality Remediation

Every GIS system accumulates data quality issues over time. Features with missing attributes, geometric errors, connectivity gaps, duplicate records, and inconsistent schemas are the normal result of years of data entry by multiple people with varying skill levels and standards.

These issues compound downstream. A missing attribute becomes a blank cell in a dashboard. A connectivity error becomes a wrong answer in a network analysis. An inconsistent schema becomes a failed data export. The cost of poor data quality is paid every day in wasted time, wrong answers, and lost trust in the GIS.

GeoLever performs systematic data quality remediation. We audit your data against defined quality standards, identify the scope and severity of issues, prioritize corrections, and execute the cleanup with validation at every step. We also design the attribute rules and quality controls that prevent the same issues from recurring.

Deliverables

What You Get

Every engagement is scoped with clear deliverables. Here is what a typical project includes.

Data Quality Audit

Systematic assessment of data quality across all feature classes: attribute completeness, geometric validity, topological integrity, and schema consistency.

Prioritized Issue List

Documented list of data quality issues ranked by severity, impact, and effort to correct. Clear scope for remediation work.

Automated Corrections

Batch correction of systematic errors: coordinate system issues, geometric errors, domain value mismatches, and attribute formatting.

Manual Review and Correction

Expert review and correction of issues that require spatial judgment: feature alignment, connectivity, and attribute accuracy.

Prevention Controls

Attribute rules, domains, and topology rules designed to prevent the same quality issues from recurring after remediation.

Quality Report

Documented report of all corrections made, remaining issues, and recommendations for ongoing data quality management.

Process

How We Work

A structured engagement process designed for clarity at every step.

1

Audit

We run systematic quality checks across your geodatabase and produce a comprehensive assessment of data quality issues.

2

Prioritize

We rank issues by severity and impact, and agree on the scope of remediation work.

3

Remediate

We correct issues using a combination of automated batch processes and manual expert review, with validation at each step.

4

Prevent

We configure attribute rules, domains, and topology that prevent the same issues from recurring.

5

Report

We deliver a quality report documenting all corrections, remaining issues, and ongoing quality management recommendations.

Pricing

$5,000 - $12,000

GeoConsult tier

Depends on the size of the geodatabase, number of feature classes, and severity of quality issues.

Book a discovery call to discuss your data quality challenges and get a remediation assessment.

Free 30-minute discovery call. We will scope your project and provide a clear proposal.