Data Audit

AI Data Audit & Preparation Services

Our AI Data Audit and Preparation services are designed to ensure your organisation is ready to implement AI efficiently and ethically.


We assess your current data landscape, address data quality, privacy, and bias concerns, and ensure your data is clean, well-documented, and primed for AI-driven success.

Contact Matrix

WE PREPARE YOUR DATA FOR AI SUCCESS

Our AI Data Audit Services

Expert AI Data Management Services


Matrix Consulting offers AI Data Audit and Preparation services to help businesses integrate AI technologies smoothly. We ensure your data is accurate, secure, compliant, and free of bias. From audits to data cleaning and feature engineering, we prepare your organisation for efficient AI deployment, enabling better decision-making and operational efficiency.

  • Comprehensive Data Audit

    We begin by conducting a thorough audit to assess your data sources, quality, privacy compliance, and potential biases. This helps us create a roadmap for data preparation.

  • Data Inventory and Documentation

    We catalog all relevant data, assess metadata, and ensure data lineage is clear, providing a strong foundation for AI implementation.

  • Data Cleaning and Normalisation

    Our team cleans and standardises your data, ensuring it’s free from errors, duplicates, and inconsistencies, preparing it for AI use.

  • Data Privacy and Security Compliance

    We implement robust privacy measures, removing personally identifiable information (PII) and ensuring compliance with relevant regulations.

  • Feature Engineering and Vectorisation

    We enrich your data with additional features and transform it into numerical formats suitable for AI model training.

Contact us today to learn more about how we can support your AI change management needs.

Contact Matrix
AI Data Audit Service

Benefits of a Data Audit

  1. Improved Data Quality: Ensures your data is accurate, complete, and up-to-date, enhancing its reliability for AI models and decision-making processes.
  2. Regulatory Compliance: Identifies gaps in data handling practices to ensure compliance with data privacy laws such as the NZ Privacy Act.
  3. Bias Detection: Uncovers potential biases in your data that could affect AI performance, ensuring fair and ethical AI applications.
  4. Increased Efficiency: Streamlines data management by organizing and cleaning data, reducing inefficiencies and errors.
  5. Enhanced Data Security: Strengthens access controls and data privacy measures, protecting sensitive information from unauthorized use.
  6. Optimised Data Integration: Ensures data from various sources can be seamlessly integrated for AI and other applications, boosting operational efficiency.
  7. Cost Savings: Prevents costly errors and inefficiencies by identifying and addressing data issues early in the process.
  8. Strategic Insights: Provides a clear understanding of your data landscape, enabling better strategic planning and decision-making with AI.

AI Data Audit Enquiry

Contact Us

Share by: