Data Quality Tools Market Analysis and Forecasts New Research Report 2020

According to the Global Data Quality Tools Market 2016-2020 report, growing demand for enterprise information management will be a key trend for market growth. Enterprise information management (EIM) focuses on providing solutions for optimal utilization of information within organizations to help decision-making processes. Various data management-related initiatives are being implemented by enterprises to improve the decision-making processes across departments. These initiatives including data governance, master data management, BI, business analytics, and application modernization are defined as EIM. An increase in demand for EIM is driving the growth of the global data quality tools market. The market is specifically driven by high demand for data governance, a significant component of EIM.

The following companies are the key players in the global data quality tools market: IBM, Informatica, Oracle, SAP, SAS Institute, and Trillium Software. Other Prominent Vendors in the market are: Ataccama, DataMentors, Experian, Innovative Systems, Melissa Data, Pitney Bowes, RedPoint, Talend, and Uniserv.

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

Complete report on data quality tools market spreads across 72 pages profiling 6 companies and supported with 45 Exhibits and Table Buy @ http://www.sandlerresearch.org/purchase?rname=59330

Table of Contents for Global Data Quality Tools Market 2016-2020 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

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 more available at http://www.sandlerresearch.org/toc/global-data-quality-tools-market-2016-2020.html

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