• This tool was developed under the DT4I program funded by DGGF

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  • Evaluate your organisation's data maturity.

    The questionnaire provides a snapshot of your current data capabilities and identifies opportunities for improvement. 40 questions | Estimated completion time: 15–20 minutes

  • Organization

    The information in this section will facilitate benchmarking and interpretation of the results for your organization

  • 1. Data Governance

    (5 Questions)
  • Does the organisation have a formal data governance framework or policy?*
  • Are data ownership and stewardship responsibilities clearly defined?*
  • Are there approved standards in place for how data should be collected, stored, and shared?*
  • Main Sources of Data?*
  • Are data governance processes reviewed and updated regularly?*

  • 2. Data Quality

    (5 Questions)
  • Are there formal processes in place for identifying and correcting data quality issues?*
  • Are validation rules applied during data entry or ingestion?*
  • Is data completeness, accuracy, and consistency regularly monitored?*
  • Are duplicate or conflicting records actively managed?*
  • Are data quality metrics or reports shared with management?*

  • 3. Data Systems and Integration

    (5 Questions)
  • Are core business systems integrated or able to exchange data effectively?*
  • Is there a centralised database for critical data?*
  • Are manual data transfers (e.g., spreadsheets/emails) still heavily relied upon?*
  • Are APIs, automated pipelines, or integration tools used to move data between systems?*
  • Is system downtime or poor interoperability a challenge for reporting or operations?*

  • 4. Data Security and Compliance

    (5 Questions)
  • Are there formal policies in place for data privacy, security, and acceptable use?*
  • Is sensitive or client data classified and protected appropriately?*
  • Are access controls implemented based on user roles and responsibilities?*
  • Are staff trained on data privacy and security practices?*
  • Are compliance requirements (e.g., GDPR, local regulations, client agreements) actively monitored?*

  • 5. Data Analytics and Insights

    (5 Questions)
  • Does the organisation use dashboards or reports to support decision-making?*
  • Are data insights used regularly in operational or strategic planning?*
  • What best describes the organisation's current analytics capabilities?*
  • Are business users able to access and interpret data independently?*
  • To what extent are analytics outputs and insights monitored and acted upon by the organisation?*

  • 6. Data Valorisation

    (5 Questions)
  • Is data viewed as a strategic organisational asset?*
  • Are there initiatives to monetise, optimise, or derive additional value from data?*
  • Is data used to improve products, services, customer experience, or operational efficiency?*
  • Are opportunities for AI, automation, or advanced analytics being explored?*
  • Is there investment in improving the organisation’s long-term data capabilities?*

  • 7. Data Documentation and Metadata

    (5 Questions)
  • Does the organisation maintain a data dictionary or metadata repository?*
  • Are key datasets and reports documented and version controlled?*
  • Are data definitions standardised across departments?*
  • Is data lineage (where data comes from and how it changes) understood?*
  • Are documentation and technical specifications updated regularly?*

  • 8. Data Culture and Awareness

    (5 Questions)
  • Do employees understand the importance of good data practices?*
  • Is there organisation-wide awareness of data governance and quality expectations?*
  • Are teams encouraged to use data in day-to-day decision-making?*
  • Is there resistance or hesitation toward data-sharing across departments?*
  • Does leadership actively promote a data-driven culture?*

  • Prioritizing Data Initiatives

  • Would you be interested in additional expert services?

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