Data Quality (DQ) Assessment

Data quality assessment graphic

Core DQ Dimensions

Etico assessments evaluate data against key dimensions, ensuring a comprehensive view of strengths, gaps, and remediation priorities.

  • Completeness - Is all required information present?
  • Timeliness - Is data available when needed and updated at the right frequency?
  • Validity - Does data conform to defined formats, business rules, and reference standards?
  • Consistency - Is data uniform across systems and processes?
  • Accuracy - Does data correctly represent the real-world objects or events it describes?
  • Uniqueness - Is each record singular and free of duplication?

Etico's Data Quality (DQ) Framework provides a practical structure to assess, monitor, and improve data so it consistently delivers measurable business value.

1. Foundational Elements

  • Data Strategy
  • Principles & Policies
  • Standards & Requirements
  • Metadata
  • Tools

2. Data Quality Management Activities

  • Proactive Prevention
  • Profiling & Assessment
  • Root-Cause Analysis
  • Remediation

3. Data Quality Outputs

  • Rules
  • Scripts
  • Reports & Dashboards

4. Outcomes and Business Benefits

  • Increased data quality and reliability
  • Better, faster decision making
  • Improved organizational knowledge and insights
  • Greater trust in analytics, AI, and automated processes

Testimonials

What Our Clients Have to Say

At Etico, we pride ourselves on delivering expertise, reliability, and flexibility in every engagement. Our clients' success stories are a testament to the value we bring and the strong relationships we build. Here's what some of them have to say about their experience working with us:

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