About Data Quality Tools Data quality tools refer to a wide range of tools required to ensure the quality and dependability of data in several business processes, including core business operations, business intelligence (BI), analytics, and strategic decision-making. Data quality tool vendors offer a wide range of functionalities such as data profiling, monitoring, parsing, standardization, and enrichment. These tools are applied to customer data, financial data, and product data to improve the quality of the data. Many organizations use data quality tools to obtain the benefits of big data. Technavio’s analysts forecast the global data quality tools market to grow at a CAGR of 14.41% during the period 2016-2020. Covered in this report The report covers the present scenario and the growth prospects of the global data quality tools market for 2016-2020. To calculate the market size, the report considers the revenue generated from license fees, consulting fees, and annual maintenance fees of data quality tools. The market is divided into the following segments based on geography: • Americas • APAC • EMEA Technavio's report, Global Data... Research Beam Model: Research Beam Product ID: 708222 2500 USD New
Global Data Quality Tools Market 2016-2020
 
 

Global Data Quality Tools Market 2016-2020

  • Category : ICT & Media
  • Published On : August   2016
  • Pages : 72
  • Publisher : Technavio
 
 
 
About Data Quality Tools

Data quality tools refer to a wide range of tools required to ensure the quality and dependability of data in several business processes, including core business operations, business intelligence (BI), analytics, and strategic decision-making. Data quality tool vendors offer a wide range of functionalities such as data profiling, monitoring, parsing, standardization, and enrichment. These tools are applied to customer data, financial data, and product data to improve the quality of the data. Many organizations use data quality tools to obtain the benefits of big data.

Technavio’s analysts forecast the global data quality tools market to grow at a CAGR of 14.41% during the period 2016-2020.

Covered in this report
The report covers the present scenario and the growth prospects of the global data quality tools market for 2016-2020. To calculate the market size, the report considers the revenue generated from license fees, consulting fees, and annual maintenance fees of data quality tools.

The market is divided into the following segments based on geography:
• Americas
• APAC
• EMEA

Technavio's report, Global Data Quality Tools Market 2016-2020, has been prepared based on an in-depth market analysis with inputs from industry experts. The report covers the market landscape and its growth prospects over the coming years. The report also includes a discussion of the key vendors operating in this market.

Key vendors
• IBM
• Informatica
• Oracle
• SAP
• SAS Institute
• Trillium Software

Other prominent vendors
• Ataccama
• DataMentors
• Experian
• Innovative Systems
• Melissa Data
• Pitney Bowes
• RedPoint
• Talend
• Uniserv

Market driver
• Increased need for data quality functions in big data
• For a full, detailed list, view our report

Market challenge
• High implementation and product costs
• For a full, detailed list, view our report

Market trend
• Rising incorporation of data quality tools with data integration tools
• For a full, detailed list, view our report

Key questions answered in this report
• What will the market size be in 2020 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?

You can request one free hour of our analyst’s time when you purchase this market report. Details are provided within the report.






PART 01: Executive summary
• Highlights
PART 02: Scope of the report
• Market segmentation
• Vendors
• Review period
• Target audience
PART 03: Market research methodology
• Research methodology
• Economic indicators
PART 04: Introduction
• Key market highlights
• Emergence of data quality tools
PART 05: Market landscape
• Market overview
• Data quality process in data integration workflow
• Functions of data quality tools
• Data types for data quality tools
• Market size and forecast
PART 06: Market segmentation by deployment type
• Global data quality tools market by deployment type
PART 07: Market segmentation by end-users
• Global data quality tools market by end-users
PART 08: Geographical segmentation
• Geographical segmentation of data quality tools market
• Americas
• EMEA
• APAC
PART 09: Buying criteria
PART 10: Market drivers
PART 11: Impact of drivers
PART 12: Market challenges
PART 13: Impact of drivers and challenges
PART 14: Market trends
PART 15: Five forces model
PART 16: Vendor landscape
• Competitive scenario
• Vendor Matrix
• Comparative chart for vendors
PART 17: Vendor product offerings
• Key vendor offerings
• Key vendor profiles
• Other prominent vendors
• Assumptions
PART 18: Appendix
• List of abbreviations
PART 19: Explore Technavio
List of Exhibits
Exhibit 01: Countries covered for market analysis
Exhibit 02: Overview of global data quality tools market
Exhibit 03: Data quality processes in data integration workflow
Exhibit 04: Core functionalities of data quality tools
Exhibit 05: Channels for collecting customer data (% share)
Exhibit 06: Global data quality tools market 2015-2020 ($ billions)
Exhibit 07: Global data quality tools market by deployment type 2015 (% share)
Exhibit 08: Differences between cloud and on-premises data quality tools
Exhibit 09: Global data quality tools market by end-users 2015 (% share)
Exhibit 10: Geographical segmentation of data quality tools market 2015 (% share)
Exhibit 11: Geographical segmentation of data quality tools market 2015-2020 ($ millions)
Exhibit 12: Data quality tools market in Americas 2015-2020 ($ millions)
Exhibit 13: IT spending by Brazil, Mexico, Argentina and Chile 2014 and 2015 ($ billions)
Exhibit 14: Data quality tools market in EMEA 2015-2020 ($ millions)
Exhibit 15: Data quality tools market in APAC 2015-2020 ($ millions)
Exhibit 16: Buying criteria for data quality tools
Exhibit 17: Global data generation forecast 2015-2020 (in zettabytes)
Exhibit 18: BI process
Exhibit 19: Characteristics of data governance
Exhibit 20: Regulations affecting data quality tools market
Exhibit 21: Impact of drivers
Exhibit 22: Prices of Informatica data quality tools 2016
Exhibit 23: Cost split for data quality tools implementation (% share)
Exhibit 24: Impact of drivers and challenges
Exhibit 25: Features of data profiling
Exhibit 26: Advantages of automation of data profiling
Exhibit 27: Five forces model
Exhibit 28: Deployment model supported by data quality tools vendors
Exhibit 29: Features provided by data quality tools vendors
Exhibit 30: Geographical presence of data quality tools vendors
Exhibit 31: Customer base of data quality tools vendors
Exhibit 32: Comparative chart for data quality tools vendors
Exhibit 33: Product offerings
Exhibit 34: IBM: Company information
Exhibit 35: IBM: Key products and features
Exhibit 36: Informatica: Company information
Exhibit 37: Informatica: Key products and features
Exhibit 38: Oracle: Company information
Exhibit 39: Oracle: Key products and features
Exhibit 40: SAP: Company information
Exhibit 41: SAP: Key products and features
Exhibit 42: SAS institute: Company information
Exhibit 43: SAS Institute: Key products and features
Exhibit 44: Trillium Software: Company information
Exhibit 45: Trillium Software: Key products and features

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