By 2022, 60% of organizations will leverage machine-learning-enabled data quality (DQ) technology for suggestions to reduce manual tasks for data quality improvement.
Augmented data quality, driven by metadata and AI, is a key dynamic driving the data quality solutions market.The discipline of data quality assurance ensures that data is “fit for purpose” and trusted by users in the context of existing business operations, analytics and emerging digital business scenarios.
“Data quality solutions” are the processes and technologies for identifying, understanding and correcting flaws in data that support effective data and analytics governance across operational business processes and decision making. The packaged solutions available include a range of critical functions, such as profiling, parsing, standardization, cleansing, matching, monitoring, rule creation and analytics, as well as built-in workflow, knowledge bases and collaboration.
Informatica, IBM, SAP, SAS, Talend, Ataccama, Precisely are the leaders in "Gartner Magic Quadrant for Data Quality Solutions 2021"
