Squadra - Data Governance

Solutions

Data Governance Framework.

Connecting the Data Governance dots.

Data principles, policies & standards

Define the baseline principles for the design of your data governance organization. This gives you guidance for the implementation: understanding the characteristics of your organization, identifying the key data assets and assessing existing initiatives or best practices.

Structures & communities

Structures and committees is about where do we discuss and take action on what. What kind of boards do we need to take decisions about data ownership, value creation, compliance, ethical issues and data quality? How should we create committees and communities of data stewards in your organization?

Roles & responsibilities

To effectively manage data as an asset, you need to determine and describe the profiles of your data organization. What kind of roles do we recognize? Who is the data owner? Who takes the role of a data steward and how do we organize this?

Data quality metrics

Managing your data quality is a collaboration between data owners, data stewards and subject matter experts and is the foundation of creating value with data. It’s about defining data quality metrics & monitoring structure.

Culture and Change Management

Culture and change management are key to a successful implementation and realizing the benefits in your organization. Data Governance is about the way of working and the right mindset.

Assets

Leveraging Data Governance Tools.

Squadra brings several assets to implement your data governance.

Data principles, policies, and standards

Describe the starting point and principles as input for your structure.

Data Quality metrics

Define a structure for creating insights in data quality during the data life cycle.

Roles & responsibilities framework

Describe responsibilities within the data management scope for all roles.

Operating model

Design your data governance structure based on the characteristics of your organization.

Data Governance Assessment

Creating insight into your organization’s maturity on all Data Governance elements and beyond. We help organizations to kick start their data journey.

Data principles, policies, and standards

Describe the starting point and principles as input for your structure.

Data Quality metrics

Define a structure for creating insights in data quality during the data life cycle.

Roles & responsibilities framework

Describe responsibilities within the data management scope for all roles.

Operating model

Design your data governance structure based on the characteristics of your organization.

Data Governance Assessment

Creating insight into your organization’s maturity on all Data Governance elements and beyond. We help organizations to kick start their data journey.

Benefits

Invest in Data Governance!

Why is Data Governance key to each organization?

Operational & Customer excellence

Good Data Governance allows you to streamline and automate processes and ensure that everyone can access reliable data. It helps to boost your productivity, reduce costs and improve customer products and services.

Improved decision-making

With reliable and well-governed data, organizations will improve strategic decisions to enable growth and competitive advantage.

Regulatory compliance & data security

Data Governance ensures compliance with industry standards, legal obligations, and sustainability targets, reducing the risk of penalties or reputational damage. It establishes appropriate policies and ensures proper data access controls to protect sensitive information from breaches or unauthorized access.

Operational & Customer excellence

Improved decision-making

With reliable and well-governed data, organizations will improve strategic decisions to enable growth and competitive advantage.

Regulatory compliance & data security

Insights

Transform Your Business With Data-Driven Insights.

Discover the latest insights about data strategy and governance.