Global Data
Quality Tools Market: Introduction
Increasing global data volume i.e. in terabytes and petabytes, across
various business sectors is the key factor contributes the growth of
global data
quality tools market. Data quality software enhances the quality
of the data through various standardised process, in order to
maintain the quality of the data according to specific industry
standards. Data quality tools addresses the critical issue in all
areas of information resources management, typically across various
critical applications, including CRM, ERP, and BI. Data quality tools
enhances the accuracy, timeliness, completeness, and consistency of
information across various enterprise operations. Data quality tools
available in the market are equipped with various functionalities,
including data cleansing, data profiling, data matching, data
standardization, data enrichment and data monitoring.
Global Data
Quality Tools Market: Market Dynamics
Expanding data quality investment across big data, cloud, and hybrid
environments, increasing reliability of data for strategic decision
making across various organizations, and changing regulatory
compliance requirements for data quality across various industries,
are the key factors drives the growth of global data quality tools
market. Additionally growing importance to maintain a standard data
quality discipline across various organizations, increasing interest
on finding innovative approaches to data quality strategy, and
expanding systematic information governance programs within end-user
organizations, accelerates the growth of global data quality tools
market. Convergence of the data quality tools with data integration
tools and MDM products is identified as the prominent trend in the
global data quality tools market. Also, expanding business
applications across varies industries and growing importance to
create structured processes for efficient workflow, task management
and issue tracking across organizations of all size, further expected
to fuel the growth of global data quality tools market. However, high
cost, less flexible pricing models and longer deployment time, are
the factors identified as restraints likely to deter the progression
of global data quality tools market
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Global Data
Quality Tools Market: Segmentation
The global data quality tools market is segmented on the basis of
deployment type, component, end-user type and region. On the basis of
deployment type, the global data quality tools market can be
segmented into on-premises and cloud. On the basis of component the
global data quality tools market can be segmented into profiling,
parsing & standardization, generalized "cleansing",
matching. monitoring, and enrichment. On the basis of end user type,
the global data quality tools market can be segmented into enterprise
and government. Regionally, the global data quality tools market can
be segmented into North America, Latin America, Western Europe,
Eastern Europe, Asia-Pacific excluding Japan, Japan and Middle East &
Africa.
Global Data
Quality Tools Market: Regional Outlook
Among all region data quality tools market in North America is
expected to dominate the market, due to expanding enterprise
information management initiatives across various industries. In
terms of revenue Asia Pacific is identified as the fastest growing
data quality tools market, due to growing interest on data quality
improvement solutions and rising focus on data driven technical and
strategic decision making practices.
Global Data
Quality Tools Market: Competition Landscape
Some of the prominent vendors in the global data quality tools market
includes Informatica, IBM, SAP, SAS Institute Inc., Oracle, Trillium
Software, Microsoft, Pitney Bowes Inc., Tamr, Experian Data Quality,
BackOffice Associates, Talend, RedPoint Global Inc., Information
Builders, and Alteryx, Inc.
The report offers a comprehensive evaluation of the market. It does
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projections about market size. The projections featured in the report
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applications.
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