Quadratic Analytics

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Data Quality & Governance that Make Data Trusted, Compliant and AI-Ready

Quadratic Analytics helps organisations build data quality and governance capabilities that move beyond checklists and committees. We design practical, technology-enabled frameworks that make data accurate, well-controlled and usable – so leaders, regulators and AI models can trust every decision made on it.

Why Data Quality & Governance Cannot Be Optional

As data volumes grow and AI accelerates decision-making, quality and governance gaps become enterprise risks:

  • Conflicting numbers in reports, eroding business confidence and slowing decisions
  • Critical metrics built on undocumented logic and manual spreadsheets
  • Limited visibility of where sensitive data lives and who can access it
  • Difficulty evidencing controls to regulators and audit committees

Quadratic Analytics helps you move from fragmented, ad-hoc practices to a coherent data quality and governance framework integrated into your platforms, processes and culture.

What We Build with You

Enterprise Data Quality Frameworks

We define and implement data quality strategies that are risk-based, measurable and embedded into your data platforms.

  • Data quality dimensions, policies and metrics aligned to business risk
  • Rule frameworks (profiling, validation, reconciliation, anomaly detection)
  • Operational processes for issue management, triage and remediation
  • Dashboards that show quality levels by domain, product and data set

Governance Operating Model

Governance succeeds when roles and decisions are clear. We help you design operating models that balance central control with domain autonomy.

  • Data ownership and stewardship across domains and products
  • Decision forums and escalation paths for standards, exceptions and risk
  • Policies for access, retention, classification and sensitive data handling
  • Integration with existing risk, compliance and security functions

Metadata, Lineage & Controls Automation

Governance is most effective when it is automated. We design architectures that connect catalogues, lineage tools and platforms so quality and control become part of the delivery pipeline.

  • Technical and business metadata captured at source and through pipelines
  • End-to-end lineage from source systems to KPIs and dashboards
  • Automated policy enforcement on access, encryption and data residency
  • GenAI-assisted documentation, rule generation and impact analysis

How Quadratic Analytics Is Distinctive

Governance that is designed for modern data platforms and AI – not legacy warehouses.

Quadratic Analytics combines data architecture, platform engineering and governance expertise. We understand how policies, models and tooling must work together across your lakehouse, BI tools and AI ecosystem.

  • Experience with leading platforms (Databricks, BigQuery, Snowflake, Fabric) and catalogues
  • Deep knowledge of regulatory expectations in sectors such as financial services and healthcare
  • Pragmatic, implementation-focused approach – less theory, more working controls
  • Frameworks that support both human decision-making and AI/ML model reliability

Ready to Raise the Trust in Your Data?

If you are strengthening regulatory compliance, modernising reporting or scaling AI, robust data quality and governance are non-negotiable. Quadratic Analytics can help you design and implement a practical framework that makes data reliable, controlled and ready for decisive action.

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