Data quality tools are used to ensure that the quality of data delivered, used, or received is fit for purpose, including core business operations, business information analytics and decision making. Vendors in this market offer a wide range of data quality tools to improve data for their customers, including data profiling, monitoring, parsing, standardization, and data enrichment tools. These tools are applied to various types of data such as customer data, financial data, and product data to provide high-quality information or improve data quality.... Research Beam Model: Research Beam Product ID: 17789 2500 USD New
Data Quality Tools Market in the APAC Region 2014-2018
 
 

Data Quality Tools Market in the APAC Region 2014-2018

  • Category : ICT & Media
  • Published On : March   2014
  • Pages : 106
  • Publisher : Technavio
 
 
 

About Data Quality Tools

Data quality tools are used to ensure that the quality of data delivered, used, or received is fit for purpose, including core business operations, business information analytics and decision making. Vendors in this market offer a wide range of data quality tools to improve data for their customers, including data profiling, monitoring, parsing, standardization, and data enrichment tools. These tools are applied to various types of data such as customer data, financial data, and product data to provide high-quality information or improve data quality. 

TechNavio's analysts forecast the Data Quality Tools market in the APAC region will grow at a CAGR of 20.66 percent over the period 2013-2018.

Covered in this Report

The Data Quality Tools Market in the APAC region has witnessed significant growth in 2013 especially in the areas of address standardization/validation and matching. The report discusses the state of data quality tools in the APAC region and the adoption pattern and maturity of the same among the businesses in this region. 

TechNavio's report, the Data Quality Tools Market in the APAC Region 2014-2018, has been prepared based on an in-depth market analysis with inputs from industry experts. It covers the Data Quality Tools market in the APAC region landscape and its growth prospects in the coming years. The report also includes a discussion of the key vendors operating in this market.

Key Vendors

• Experian Data Quality

• IBM Corp.

• Informatica Corp.

• Pitney Bowes Inc.

• SAP AG

• SAS Institute Inc.

• Trillium Software Ltd.

Other Prominent Vendors

 

• Active Prime Inc.

• Ataccama Corp.

• Business Data Quality Ltd.

• Capscan Ltd.

• DataMentors Inc.

• DataQualityFirst Inc.

• Datiris LLC

• Datras Inc.

• DQ Global Ltd.

• HelpIT Systems Ltd.

• Infogix Inc.

• Infoglide Software Corp.

• Infoshare Systems Inc.

• Innovative Systems Inc.

• Intelligent Search Technology Inc.

• Inquera Ltd.

• Melissa DATA Corp.

• Neopost S.A.

• Oracle Corp.

• Postcode Anywhere Ltd. 

• RedPoint Global Inc.

• Satori Software Inc.

• Stibo Systems A/S

• Talend Inc.

• Uniserv GmbH

• X88 Software Ltd. 



Key Market Driver

• Need to Increase Productivity.

• For a full, detailed list, view our report.

Key Market Challenge

• Lack of Automation.

• For a full, detailed list, view our report.

Key Market Trend

• Emergence of SaaS-based Data Quality Tools.

• For a full, detailed list, view our report.

Key Questions Answered in this Report

• What will the market size be in 2018 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.


01. Executive Summary

02. List of Abbreviations

03. Scope of the Report


03.1 Market Overview

03.2 Product Offerings

04. Market Research Methodology

04.1 Market Research Process

04.2 Research Methodology

05. Introduction

06. Market Landscape


06.1 Market Overview

06.2 Data Quality as a Process in Data Integration Workflow

06.3 Market Size and Forecast

06.4 State of Data Quality Tools in the APAC Region

06.5 Adoption Pattern of Data Quality Tools

06.6 Five Forces Analysis

07. Geographical Segmentation

08. Key Leading Countries


08.1 Japan

08.2 Australia

08.3 China

09. Buying Criteria

10. Market Growth Drivers

11. Drivers and their Impact

12. Market Challenges

13. Impact of Drivers and Challenges

14. Market Trends

15. Trends and their Impact

16. Vendor Landscape


16.1 Competitive Scenario

16.2 Market Share Analysis 2012

16.3 Other Prominent Vendors

17. Key Vendor Analysis

17.1 Experian Information Solutions Inc.

17.1.1 Key Facts

17.1.2 Business Overview

17.1.3 Product Segmentation

17.1.4 Key Information

17.1.5 SWOT Analysis

17.1.6 Strengths

17.1.7 Weakness

17.1.8 Opportunities

17.1.9 Threats

17.2 IBM Corp.

17.2.1 Key Facts

17.2.2 Business Description

17.2.3 Business Segmentation

17.2.4 Revenue Segmentation by Business Segments

17.2.5 Revenue Segmentation by Business Operation

17.2.6 Revenue Comparison of Business Segments 2012 and 2013

17.2.7 Revenue Segmentation by Geography

17.2.8 Business Strategy

17.2.9 Key Developments

17.2.10 SWOT Analysis

17.2.11 Strengths

17.2.12 Weaknesses

17.2.13 Opportunities

17.2.14 Threats

17.3 Informatica Corp.

17.3.1 Key Facts

17.3.2 Business Description

17.3.3 Business Offerings

17.3.4 Revenue Segmentation by Business Offerings

17.3.5 Revenue Comparison of Software and Services 2012 and 2013

17.3.6 Revenue Segmentation by Geography

17.3.7 Business Strategy

17.3.8 Key Developments

17.3.9 SWOT Analysis

17.3.10 Strengths

17.3.11 Weakness

17.3.12 Opportunities

17.3.13 Threats

17.4 Pitney Bowes Inc.

17.4.1 Key Facts

17.4.2 Business Description

17.4.3 Business Segmentation

17.4.4 Revenue Segmentation by Business Offerings

17.4.5 Revenue Comparison of Business Segments- 2012 and 2013

17.4.6 Revenue Segmentation by Geography

17.4.7 Business Strategy

17.4.8 Key Developments

17.4.9 SWOT Analysis

17.4.10 Strengths

17.4.11 Weakness

17.4.12 Opportunities

17.4.13 Threats

17.5 SAP AG

17.5.1 Key Facts

17.5.2 Business Description

17.5.3 Business Segmentation

17.5.4 Revenue Segmentation by Business Segments

17.5.5 Revenue Comparison of Business Segments 2012 and 2013

17.5.6 Revenue Segmentation by Geography

17.5.7 Business Strategy

17.5.8 Key Developments

17.5.9 SWOT Analysis

17.5.10 Strengths

17.5.11 Weaknesses

17.5.12 Opportunities

17.5.13 Threats

17.6 SAS Institute Inc.

17.6.1 Key Facts

17.6.2 Business Description

17.6.3 Revenue Segmentation by Industry

17.6.4 Revenue Segmentation by Geography

17.6.5 Business Strategy

17.6.6 Key Developments

17.6.7 SWOT Analysis

17.6.8 Strengths

17.6.9 Weakness

17.6.10 Opportunities

17.6.11 Threats

17.7 Trillium Software

17.7.1 Key Facts

17.7.2 Key Highlights

17.7.3 SWOT Analysis

17.7.4 Strengths

17.7.5 Weakness

17.7.6 Opportunities

17.7.7 Threats

18. Other Reports in this Series



List of Exhibits

Exhibit 1: Market Research Methodology

Exhibit 2: Data Quality as a Process in Data Integration Workflow

Exhibit 3: Data Quality Tools Market in the APAC Region 2013-2018 (US$ million)

Exhibit 4: Data Quality Tools Adoption Pattern in the APAC Region 2013

Exhibit 5: Data Quality Tools Market in the APAC Region by Country-wise Segmentation 2013

Exhibit 6: Data Quality Tools Market in the APAC region by Vendor Segmentation 2013

Exhibit 7: Product Segmentation of Experian Data Quality

Exhibit 8: Business Segmentation of IBM Corp.

Exhibit 9: Revenue Segmentation of IBM Corp. 2013

Exhibit 10: Revenue Segmentation of IBM Corp. 2013

Exhibit 11: Revenue Comparison of Business Segments 2012 and 2013 (US$ million)

Exhibit 12: Revenue Segmentation of IBM Corp. by Geography 2013

Exhibit 13: Business Offerings of Informatica Corp.

Exhibit 14: Revenue Segmentation of Informatica Corp. 2013

Exhibit 15: Revenue Comparison of Software and Services 2012 and 2013 (US$ million)

Exhibit 16: Revenue Segmentation of Informatica Corp. by Geography 2013

Exhibit 17: Business Segmentation of Pitney Bowes Inc.

Exhibit 18: Revenue Segmentation of Pitney Bowes Inc. 2013

Exhibit 19: Revenue Comparison of Business Segments 2012 and 2013 (US$ million)

Exhibit 20: Revenue Segmentation of Pitney Bowes Inc. by Geography 2013

Exhibit 21: Business Segmentation of SAP AG

Exhibit 22: Revenue Segmentation of SAP AG 2013

Exhibit 23: Revenue Comparison of Business Segments 2012 and 2013 (US$ million)

Exhibit 24: Revenue Segmentation of SAP AG by Geography 2013

Exhibit 25: Revenue Segmentation of SAS Institute Inc. 2012

Exhibit 26: Revenue Segmentation of SAS Institute Inc. by Geography 2012



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