Press release
Data Quality Management Market to Witness an Outstanding Growth, Trends, Opportunities, Size, Future Market Insights 2019-2025: Microsoft, Talend, IBM, Information, Oracle, SAP, SAS Institute, Experian, Syncsort
Data Quality Management Market 2019 presents a comprehensive analysis of the based on their Size, Share, Growth, Trends and forecast. The report focusing on leading key players Information, Talend, Microsoft, Syncsort, IBM, Pitney Bowes Informatics, Oracle, SAP,SAS Institute ,Experian. Real-time data standardization helps in increasing adoption of data analytics. This factor resulted in the huge growth of data quality management market.Get Sample Copy of this Report - https://www.orianresearch.com/request-sample/729767
Market Overview: Data quality management has become a key concern for big companies in various activities such as data integration, customer relationship management, and regulatory requirements etc. Many organizations are extracting data from various sources and using it for multiple purposes. Data quality management is difficult as well as crucially important. Ensuring the quality of data has become very difficult when it integrates data from multiple sources.
In addition, Data quality management tools are linked to data cleansing tools such as data cleansing, data profiling, data monitoring etc. that helps in eliminating inconsistent data. Many organizations have started using this automated data cleansing and profiling tools that help in eliminating unusable data that is created from human data entry error.
No. of Pages: 93
Data Quality Management Market: Competitive Players:
Information
Talend
Microsoft
Syncsort
IBM
Pitney Bowes
Informatica
Oracle
SAP
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Lastly, the report also focuses on Development policies and plans are discussed as well as manufacturing processes and cost structures are also analyzed. This report also states import/export consumption, supply and demand Figures, cost, price, revenue and gross margins.This report focuses on the global Data Quality Management status, future forecast, growth opportunity, key market and key players. The study objectives are to present the Data Quality Management development in United States, Europe and China.
Scopes of this report are:
To analyze global Data Quality Management status, future forecast, growth opportunity, key market and key players.
To present the Data Quality Management development in United States, Europe and China.
To strategically profile the key players and comprehensively analyze their development plan and strategies.
To define, describe and forecast the market by product type, market and key regions.
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Market segment by Type, the product can be split into
On-Premises
SaaS
Market segment by Application, split into
BFSI
Healthcare
Retail
Telecommunication
Government
Transportation & logistics
Education
Others
In this study, the years considered to estimate the market size of Data Quality Management are as follows:
History Year: 2014-2018
Base Year: 2018
Estimated Year: 2019
Forecast Year 2019 to 2025
Major Points from Table of Contents:
Global Data Quality Management Market Research Report 2018
Chapters 1 Data Quality Management Market Overview
Chapters 2 Global Data Quality Management Market Competition by Manufacturers
Chapters 3 Global Data Quality Management Capacity, Production, Revenue (Value) by Region (2013-2018)
Chapters 4 Global Data Quality Management Supply (Production), Consumption, Export, Import by Region (2013-2018)
Chapters 5 Global Data Quality Management Production, Revenue (Value), Price Trend by Type
Chapters 6 Global Data Quality Management Market Analysis by Application
Chapters 7 Global Data Quality Management Manufacturers Profiles/Analysis
Chapters 8 Data Quality Management Manufacturing Cost Analysis
Chapters 9 Industrial Chain, Sourcing Strategy and Downstream Buyers
Chapters 10 Marketing Strategy Analysis, Distributors/Traders
Chapters 11 Market Effect Factors Analysis
Chapters 12 Global Data Quality Management Market Forecast (2018-2025)
Chapters 13 Research Findings and Conclusion
Chapters 14 Appendix
Methodology
Analyst Introduction
Data Source
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