-
Our Services
Data & Analytics Strategy
Modern Data Ecosystems
Management & Governance
Management & Governance
Management & Governance
Data Integration & Engineering
Data Integration & Engineering
Data Integration & Engineering
Analytics & Data Science
Analytics & Data Science
Modern Data Ecosystems
Analytics & Data Science
Artificial Intelligence
- Technology Partners
- About
What is data quality?
Data Quality refers to both the characteristics associated with data, and the processes used to measure or improve the quality of data. Data quality is often characterised by six data quality dimensions: accuracy, completeness, consistency, timeliness, validity, and uniqueness. "Data is considered high quality to the degree it is fit for the purposes data consumers want to apply to it" DAMA.
Related Content
The Importance of Data Quality
5 tips for better Data Quality
BackOur Services
Strategic Consultancy
We work with our clients to understand your business vision and objectives, allowing us to curate a data strategy that compliments your goals. We provide a future state vision with concise requirements and the frameworks to make the right technology selection for you, alongside the organisational change roadmap required for you to become a data driven organisation.
Delivery & Implementation
Amplifi has become the most trusted name globally for the successful delivery of data driven solutions. Our delivery methodology is focused on all the key aspects that make data initiatives successful, focusing on not just the technology implementation but the required change initiative and the supporting quality metrics to ensure long-term, and sustainable success.
Support & Enhance
People see data initiatives as projects, but in fact there is a long term operation that needs to be run and evolve with your changing business. We provide consultancy and support to enhance and troubleshoot your data issues, ensuring the long term success of your initiative.
