Report forecast the Global Data Quality Tools market to grow at a CAGR
of 17.11 percent over the period 2014-2019.
Data quality tools refer to the wide range of tools required for
ensuring quality and reliability of data in various business processes
including core business operations, BI, analytics, and decision making. The
data quality vendors offer a wide range of functionalities including data
profiling, monitoring, parsing, standardization, and data enrichment. These
tools are applied on customer data, financial data, and product data to improve
the quality of data. Many organizations use data quality tools to avail the
benefits of Big Data.
This report covers the present scenario and the growth prospects of
the Global Data Quality Tools market for the period 2015-2019. To calculate the
market size, the report considers revenue generated from the sales of data
quality tools. The report also specifies the revenue generated from software
and services. The report also details the revenue generated from the deployment
of on-premises and cloud models.
According to the report, the increased demand for data quality
functions in big data is one of the major drivers for the market. Organizations
have a huge amount of data, and need data quality tools to collect, extract,
and analyze them to make better decisions, improve processes, and achieve
desired corporate goals.
Further, the report states that inconsistency in data collection poses
a major challenge for the market. Inconsistency in data collection prevents
enterprises from eliminating poor quality data from their warehouses, and this
acts as a potential threat to business operations.
It presents the vendor landscape and a corresponding detailed analysis
of the top five vendors in the Global Data Quality Tools market. To calculate
vendor share, the report considers revenue generated from software licenses and
services. In addition, the report discusses the major drivers that influence
the growth of the Global Data Quality Tools market. It also outlines the
challenges faced by vendors and the market at large, as well as the key trends
emerging in the market.
Key players in the Global Data Quality Tools Market: Experian Plc,
Informatica Corp., SAP AG, SAS Institute Inc. and Trillium Software (Harte
Hanks Company)
Other Prominent Vendors in the market are: ActivePrime, Attaccama,
Business Data Quality, DataMentors, Datiris, DQ Global, IBM, Infoglide
Software, Infoshare Systems, Innovative Systems, Intelligent Search Technology,
Melissa Data, Oracle, Pitney Bowes, RedPoint , Talend and Uniserv.
Key Regions
- Americas
- APAC
- EMEA
Market Driver
- Increased Demand for Data Quality Functions in Big Data
- For a full, detailed list, view our report
Market Challenge
- Inconsistency in Collection of Data
- For a full, detailed list, view our report
Market Trend
- Increased use of Data Quality Tools for Marketing
- For a full, detailed list, view our report
Key Questions Answered in this
Report
- What will the market size be in 2019 and what will the growth rate be?
- What are the key market trends?
- What is driving this market?
- What are the challenges to market growth?
- Who are the key vendors in this market space?
- What are the market opportunities and threats faced by the key vendors?
- What are the strengths and weaknesses of the key vendors?
Spanning over 83 pages “Global
Data Quality Tools Market 2015-2019” report covers the Executive
Summary, List of Abbreviations, Scope of the Report, Market Research
Methodology, Introduction, Market Description, Market Landscape, Market
Segmentation by Deployment Model, Market Segmentation by Revenue, Geographical
Segmentation, Buying Criteria, Market Growth Drivers, Drivers and their Impact,
Market Challenges, Impact of Drivers and Challenges, Market Trends, Trends and
their Impact, Vendor Landscape, Key Vendor Analysis
For
further information on this report, please visit- http://mrr.cm/4xq
Find all Software Reports at: http://www.marketresearchreports.com/software
No comments:
Post a Comment
Note: only a member of this blog may post a comment.