Data quality is vital to achieving the most important and
urgent digital business priorities. In Gartner’s 2018 CEO survey, 64% of
respondents said they have management initiatives or transformation programs to
make their business more digital (see “2018 CEO Survey: CIOs Should Guide
Business Leaders Toward Deep-Discipline Digital Business”). The same survey
found that CEOs expect digital revenue to grow by 10.3% between 2017 and 2020.
The term “data quality” relates to the processes and
technologies for identifying, understanding and correcting flaws in data that
support effective information governance across operational business processes
and decision making. The packaged tools available include a range of critical
functions, such as profiling, parsing, standardization, cleansing, matching,
enrichment and monitoring.
Informatica, SAP, IBM, SAS, Talend, Oracle, Syncsort are the
leaders in "Gartner Magic Quadrant for Data Quality Tools - 2019".
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