DAVHILL Group

DAVHILL helps organizations build reliable data infrastructure, data products, and Artificial Intelligence (AI) / Machine Learning (ML) capabilities — covering governance, engineering, analytics, and responsible AI practices. Based in Ottawa and serving clients across Canada and internationally, we provide tailored training, practical consulting, and rigorous assessment services to military, federal, provincial, municipal, and large private sector organizations.


AI Trust

We can assess your AI and ML systems to ensure they are compliant (e.g. OFSI E-12, GoC AIA etc.) and are reliable, safe, fair, transparent, explainable and accountable.

  • Algorithmic impact assessments

  • Bias and fairness reviews

  • Technical model validation


Data Science

We will help you to turn data into insight to make decisions through practical, reliable advanced data analysis

  • Artificial Intelligence, Machine Learning and Data Mining Methods

  • Advanced statistical analysis

  • Model development and management


Business Intelligence

We will help you to make key decisions, visualize data and tell compelling data stories.

  • Best practice in data visualization & storytelling

  • BI tool best practice (Power BI, Tableau, R, Python etc.)

  • Integration with data pipeline (Fabric, Azure, Google, SAS, AWS and others)


Data Governance

We help create clarity, consistency and trust in your data.

  • Data quality frameworks

  • Metadata, Reference & master data management

  • Governance operating models

  • Stewardship programs

  • Policy development


Data Engineering

We can help you build modern, scalable data pipelines and architectures.

  • Extract Transform Load (ETL) strategies

  • Medallion architecture design and implementation

  • Automation strategies

  • Development of data self serve environments

Assessment

AI Trust

Data Science

Business Intelligence

Data Governance

Data Engineering

AI Trust Data Science Business Intelligence Data Governance Data Engineering

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Training

Consulting