Understanding data

Data governance refers to the general handling of the availability, usability, integrity and security of the data used in an organisation. It ensures that the data fulfils quality standards and compliance requirements.

Data governance

Data governance is the framework that defines how data is managed, protected and used within an organisation. It comprises guidelines, standards and procedures that regulate the collection, storage, access and use of data.

The most important aspects of data governance are
Data Ownership: Defining data ownership and responsibilities
Data Quality: Ensuring the accuracy, completeness, consistency and timeliness of the data
Data Security: Protection of data against unauthorised access, breaches and misuse
Data Privacy: Compliance with the relevant data protection regulations (e.g. DSG, GDPR, CCPA).
Data Retention: Definition of guidelines for data storage and disposal on the basis of data protection (right to be forgotten)
Data Lineage: Tracing the history and origin of data

Data Management

Data management is the systematic collection, organisation, protection, storage and maintenance of data to ensure its accuracy, accessibility and reliability throughout its lifecycle. Effective data management is critical for decision-making, business operations, regulatory compliance and data-driven strategies.

The most important aspects of data management are:
Data Storage: Selection of suitable storage solutions (e.g. databases, data warehouses, cloud storage)
Data Retrieval: Development of efficient methods for accessing and retrieving data
Data Processing: Transforming and analysing data to generate meaningful insights.
Data Integration: Combination of data from different sources into a standardised view.
Data Backup and Recovery (BCM): Implementation of procedures to protect data from loss and for recovery in the event of a disaster.

The relationship between data governance and data management forms the overarching framework for data management activities. Effective data governance ensures that data management practices are aligned with organisational objectives and comply with relevant regulations.

By combining data governance and data management, companies can:

Improve decision making by utilising accurate and reliable data.
Increase operational efficiency and reduce costs.
Protecting sensitive data and reducing risks.
Comply with the data protection regulations.
Gain a competitive advantage through data-driven insights.

Data governance is the key

Data governance and data management are two interlinked concepts that play an important role in ensuring the quality, integrity and security of an organisation's data assets.

01

Optimising Data Management Practices

Data Management involves the organisation and administration of data resources to ensure accessibility, reliability, and security. It encompasses data storage, retrieval, and processing.

02

Implementing Effective Data Governance

Data governance refers to the overall management of the availability, usability, integrity, and security of data used in an enterprise. It ensures that data meets quality standards and compliance requirements.

03

Data Management for Better Insights

Understanding your data is critical to making informed decisions. By using data analysis and visualisation tools, companies can gain insights and drive business growth based on data-driven strategies.

04

Ensuring Data Governance Compliance

Data management comprises the organisation and management of data resources to ensure their accessibility, reliability and security. It includes the storage, retrieval and processing of data.