Data Management Services

Data Quality Review

It examines if your organisation’s data meet the needs of its users of the integrity and reliability of your organisation’s data meet the needs of its users. The review evaluates key aspects of your data, including accuracy, completeness, consistency, and timeliness.

Why you need a Data Quality Review

Conducting a Data Quality Review (DQR) helps you:

  • Assess the current quality of your data holdings
  • Define exactly what quality data means to your organisation
  • Identify and remediate data quality issues
  • Improve decision-making based on reliable data
  • Build trust in your data among stakeholders

How to conduct a Data quality review

Conducting a DQR involves the following steps:

  • 1

    Defining the scope: Outline the scope of work, data included and establish data quality objectives.

  • 2
    Assess metrics: Evaluate data quality based on six dimensions, including accuracy, completeness, and consistency.
  • 3
    Profile and assess: Understand data structures, detect potential errors, and assess quality using the available toolkit.
  • 4

    Prioritise issues: Rank data quality issues based on their impact on business and service delivery.

  • 5

    Develop solutions: Identify root causes of issues and establish data quality processes for ongoing monitoring and improvement.

Get a Clear Picture

Performing a Data Quality Review ensures a clear path for more accurate, reliable, and reusable data.

Standardise Guidance

Derilinx follow the guidance* from the Office of the Government Chief Information Officer’s Data Quality Framework.

* Documentation will be available soon

At Derilinx, we take pride in our successful track record of conducting data management assessments and reviews. Trusted by a wide array of customers, our services have been instrumental in enhancing organisations’ data and data ecosystems.

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Organisations have leveraged Derilinx’s Advisory Services

Derilinx’s Data Maturity Assessment provided us with a clear, easily understandable and practical evaluation of our data maturity level. Their insights helped us identify key areas for improvement with associated recommendations, and the support from their team was instrumental in advancing our data maturity understanding. Leveraging the OGP Open Data Technical Framework streamlined our procurement process, saving significant time and effort and simplifying the selection process for a suitably qualified and experience supplier.

Kathleen O'Sullivan, Head of Internal Audit, Waterways Ireland

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Do you want to succeed in your data journey?

We provide end-to-end data management platform and services – from helping you identify and understand your data and data maturity level, to share your data in a robust platform internally or publicly as open data.

Let us know how we can help you.