Data quality management is an industry full of business jargon. Here we’ve pulled together some of the most common terms and phrases to help anyone from a DQ new-start to a seasoned professional.
Launched in 2010, Microsoft Azure is one of the world’s leading public cloud computing software, offering over 200 preconfigured services including AI, storage, networks and integration.
Artificial Intelligence is the application of computer science techniques to perform a range of decision-making and prediction activities.
A data catalog is an inventory of an organisation’s data assets, which can be accessed by data stewards and scientists in order to quickly retrieve the information they need.
Customer 360 refers to a 360-degree view of a customer’s journey through an organisation, including accounts, interactions and enquiries.
Environmental, Social and Governance refers to a collection of criteria used to evaluate an organisation’s operations and measure their sustainability.
Data governance refers to a collection of disciplines working together to achieve effective use, monitoring and reporting of enterprise data.
Data lineage is the process of mapping where your data has originated from and where it ends up. It enabled enterprises to track the flow of data and quickly identify where errors have occurred during the data lifecycle.
KYC and AML are fundamental components of regulatory compliance in financial institutions, referring to the prevention of money laundering and other financial crimes.
Master Data Management provides a consolidated, single source of truth for business-critical data.
Data profiling is the process of reviewing data, including its source, to provide helpful summaries of information about the data, including potential data quality issues.
Microsoft Power BI is a technology-enabled business intelligence platform for gathering, analysing and visualizing data.
Data quality refers to how fit your data is for serving its intended purpose. Good quality data should be reliable, accurate and accessible.
Self Service Data Governance (SSDG) is an enterprise-wide initiative incorporating data disciplines such as data lineage, data quality and data analytics.
Self-service data quality & matching specialists based in Belfast, NI, winning awards and recognition for our software, company culture and customer satisfaction.