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Data Quality Management

Don’t let bad data stall your growth. We cleanse, validate, and enrich your data assets to ensure 100% reliability.

Precision is power

In today’s data-driven landscape, inaccurate or inconsistent data can cost organizations time, money, and missed opportunities. Our Data Quality as a Service (DQaaS) ensures your data is continuously cleansed, validated, and optimized, empowering you to make confident, informed decisions.

A data quality scorecard

Every critical field is scored against a clear rule and threshold, with a named owner, so problems show up long before they reach a report.

Data source: Beneficiary register (sample)

  • Beneficiary ID97.4%

    Uniqueness · One record per person

    On targetMEAL officer · 08 Oct 2026
  • Date of birth99.2%

    Completeness · Field is filled in

    On targetData clerk · 08 Oct 2026
  • Phone number88.1%

    Validity · Matches +251 9XX XXX XXX

    WatchData clerk · 07 Oct 2026
  • District code82.5%

    Consistency · Matches the official code list

    Below thresholdGIS officer · 06 Oct 2026
  • Household size94.0%

    Accuracy · Matches the verification visit

    WatchField supervisor · 05 Oct 2026
  • Distribution date96.8%

    Timeliness · Entered within 7 days

    On targetField coordinator · 08 Oct 2026
Missing values
3.1%
Duplicate records
2.6%
Invalid data rate
6.4%
Data downtime this month
4 h
Table uptime
99.9%
Score = valid records ÷ total records × 100. Thresholds: on target at 95% and above, watch from 85%, below threshold under 85%. Sample data, illustrative only.

Key offerings

  • Automated Validation

    State-of-the-art algorithms that check your data against thousands of rules instantly.

  • Real-time Monitoring

    Dashboards that track data health scores 24/7, alerting you to anomalies immediately.

  • Global Compliance

    Full adherence to ISO 8000, GDPR, and local Ethiopian data sovereignty laws.

Our 4-step framework

  1. 01

    Data Profiling

    Analyzing data source structure, content, and quality.

  2. 02

    Cleansing & Standardization

    Correcting errors and enforcing standard formats.

  3. 03

    Validation & Enrichment

    Verifying against trusted sources and adding value.

  4. 04

    Ongoing Monitoring

    Continuous automated checks to conduct health.

Ready to trust your data?

Tell us where your data hurts. Every engagement starts with a free data audit.