Frameworks

8 Governed Gates

Data Governance

The 8 Governed Gates Data Governance Framework is a structured, step-by-step approach designed to enhance how your business manages data. It methodically addresses each aspect of data governance - from establishing roles and responsibilities to ensuring Data Quality and Compliance.

Roles

Identifies key data roles and responsibilities within your organisation.

Landscape

Maps out your current data assets and how they're used.

Defintion

Establishes clear definitions and standards for your data.

Quality

Ensures the accuracy, completeness, and reliability of your data.

Risks & Issues

Identifies and addresses potential data-related risks and issues.

Monitoring

Sets up ongoing monitoring to maintain data quality and integrity.

Improvement Planning

Continuously refines and improves data processes.

Communications

Keeps all stakeholders informed and engaged in data governance.

8 Governed Gates

Data Quality

The 8 Governed Gates Data Quality Framework is a structured step-by-step approach that improves the quality of your data through eight key stages. Starting with understanding business outcomes, it moves through the data lifecycle, assessing and analysing root causes, before developing and implementing improvement plans. Ensuring that its data is not only of high quality but also aligns perfectly with your strategic goals, driving informed decision-making and operational excellence.

Business Outcomes

Sets clear goals and identifies key data quality issues relevant to your business objectives.

Data Lifecycle

Analyses how data is created, stored, used, and maintained within your business.

Assessment

Evaluates the current state of data quality against specific metrics and standards.

Root Cause Analysis

Identifies the underlying reasons for data quality issues, paving the way for targeted solutions.

Improvement Plan

Develops actionable strategies to address and rectify identified data quality problems.

Prevention Planning

Establishes measures to prevent future data quality issues and correct existing ones.

Governance

Implements oversight and integrates to the Data Governance Framework, to ensure ongoing adherence to data quality policies, standards and improvements.

Communications

Maintains clear and continuous dialogue throughout the process, ensuring all stakeholders are informed and aligned.

Data Governance

The framework simplifies data governance, covering eight essential areas to ensure data is accurate, compliant, and aligns with business goals. This approach supports transparent decision-making and risk reduction.

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Data Quality

The Data Quality Framework streamlines the way data is managed, focusing on eight crucial aspects to guarantee data accuracy and reliability. This approach supports better, well-informed decisions and enhances overall data performance.

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Metadata Management

A methodical approach on how metadata is handled, focusing on the business use. Ensuring that metadata is consistently accurate, relevant, and aligned with business objectives,
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Data Governance

Data Quality