Data Quality Tools helps organization to identify and examine data quality issues, strengthen governance information, improve compliance, reduce operational risks, and support in getting informative insight through analytics tools. The tools typically perform functions such as data profiling, scrubbing, matching, transformation, data augmentation, and others to address data quality concerns. Data quality tools may also provide data monitoring and visualization functions to further improve data quality across data sources. Organizations leverage data quality tools to improve data quality from a variety of sources, including on-premises and cloud sources, databases, data warehouses & data lakes, streaming data, and external data sources.
Quadrant Knowledge Solutions’ Data Quality Tools market research includes a detailed analysis of the global market regarding short-term and long-term growth opportunities, emerging technology trends, market trends, and future market outlook. The study provides a comprehensive market forecast analysis of the global market and the overall market adoption rate as well. This research provides the strategic information for technology vendors to better understand the existing market and supporting their growth strategies, and for users to evaluate different vendors’ capabilities, competitive differentiation, and market position.
The research includes detailed competition analysis and vendor evaluation with the proprietary SPARK Matrix analysis. The SPARK Matrix includes ranking and positioning of the leading metadata management vendors with a global impact including – Ataccama, Datactics, Experian, IBM, Informatica, Innovative systems, Melissa, MIOsoft, Precisely, Redpoint Global, SAP, SAS, Syniti, Talend, Tibco.
According to Sreejith PS, Analyst at Quadrant Knowledge Solutions,” Data quality tools enables organizations to identify and correct errors or inconsistencies in the data and ensures that data is consistent across different systems and databases. It helps user find missing data, correct errors in their data, and complete data in order to comply with regulations. Leading vendors offer functionalities like creation of data quality rules, automated data relationship discovery, and transformation to further augment the benefit of adopting data quality tools. Driven by the maturity of artificial intelligence and machine learning, data quality tools vendors are increasingly augmenting the data quality tools capabilities to support advanced functionalities. “
2022 Data Quality Tools SPARK Matrix
Source: Quadrant Knowledge Solutions
Table of Contents
- Key Research Findings
Market Overview and Technology Trends
Factors Influencing Technology Development and Market Growth
Market Adoption Trends
Competition Landscape and Analysis
- Competitive Overview and Analysis
- Key Competitive Factors and Technology Differentiators
SPARK Matrix™: Data Quality Tools
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