Data quality tools refer to a wide range of tools and services specifically designed to deliver comprehensive and precise data to organizations. Data quality tool vendors offer a broad range of functions and capabilities, which include data cleansing, profiling, parsing, monitoring, and enrichment. The data quality tools allow organizations to comprehend, standardize, and monitor the data over the course of its lifecycle, ensuring continuous operation within the system. Ensuring data quality should be a paramount concern to the authorities, as a good dataset within an organization can be a key enabler to gain competitive advantage in the market by conducting better analysis and craft business strategies that will have long-term implication on realizing organizational goals. The 6 key considerations of data quality, which every enterprise should seek for, include consistency, conformity, completeness, uniqueness, accuracy, and integrity of data.

COMPETITIVE LEADERSHIP MAPPING TERMINOLOGY

The vendors are placed into 4 categories based on their performance in each criterion: “visionary leaders,” “innovators,” “dynamic differentiators,” and “emerging companies.” The top 25 vendors evaluated in the data quality tools market include Alteryx, Ataccama, BackOffice Associates, Data Ladder, DQ Global, Experian, IBM, Informatica, Information Builders, Infosolve Technologies, Ixsight Technologies, Innovative Systems, Microsoft, Oracle, QFire Software, Pitney Bowes, Neopost, RedPoint Global, SAS Institute, Syncsort, Trianz, Talend, Tamr, and Uniserv.

VISIONARY LEADERS

Vendors who fall into this category receive high scores for most of the evaluation criteria. They have strong and established product portfolios and a very strong market presence. They provide mature and reputable data integration tools. They also have strong business strategies. The visionary leaders include IBM, Informatica, Oracle, SAP, SAS Institute, and Talend.

INNOVATORS

Innovators in the MicroQuadrant are the vendors who have demonstrated substantial product innovations as compared to their competitors. They have very focused product portfolios. However, they do not have very strong growth strategies for their overall businesses. Vendors who fall in this category are Alteryx, Ataccama, BackOffice Associates, Data Ladder, Innovative Systems, QFire Software, Syncsort, Tamr, and Trianz.

DYNAMIC Differentiators

They are established vendors with very strong business strategies. However, they are low in their product portfolios. They focus on a specific type of technology related to the product. Vendors who fall in this category are Experian, Information Builders, Microsoft, and Pitney Bowes.

EMERGING COMPANIES

These are vendors with niche product offerings who are starting to gain their positions in the data quality tools market. They do not have very strong business strategies as compared to other established vendors. They might be new entrants in the market and require some more time before getting a significant traction. Vendors who fall in this category are DQ Global, Infosolve Technologies, Neopost, RedPoint Global, and Uniserv.

TOP VENDORS
In Data Quality Tools Software

  1. INFORMATICA CORPORATION
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    3.8
  2. IBM CORPORATION
    0 Reviews
    3.6
  3. SAP SE
    0 Reviews
    3.4

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KEY BUYING CRITERIA

Product Maturity
Strategic Maturity
Use Case Maturity
Most IMPORTANT
0.0
0.0
0.0
Breadth and Depth of Product Offerings
4.95
3.20
3.50
Product Features and Functionality
4.95
4.55
4.55
Delivery
5.00
4.90
4.50
Business Applications
2.90
3.50
3.80
Support and Services
2.55
4.30
3.85
LEAST IMPORTANT LESS IMPORTANT

TOP VENDORS

  • Informatica offers Informatica Data Quality as the core product in data quality tools market. Informatica Data Quality delivers ensures data quality for all business applications, whether they are on-premises or cloud applications. Informatica Data Quality includes unified role-based tools that facilitate the participation of business in the data quality process and deliver comprehensive support for applying data quality rules to products, assets, and customer data. These quality rules can applied across the enterprise for data quality purposes.

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    3.8
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  • IBM focuses on various aspects of data quality. The InfoSphere Information Server offers several capabilities that address data quality needs of businesses. InfoSphere Information Server is an IBM data integration platform which helps enterprises extract more value from complex, heterogeneous information spread across systems. IBM offers a substantial range of products for managing the end-to-end data quality requirements of organizations.

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    3.6
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  • SAP offers SAP Data Services in the data quality tools market. SAP Data Services is management software, offering a broad range of functionalities for data quality, data integration, and data cleansing. It offers flexibility to the business users, maintains data quality, and ensures data consistency across the enterprise. SAP Data Services helps access data on-premises and on the cloud. SAP Data Services can be integrated with SAP Information Steward to assist enterprises in tracking data records for enhanced information governance.

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  • Through the acquisition of Trillium Software, Syncsort gained unparalleled advantage in offering comprehensive solutions for the data integration and data quality tools markets. Trillium Software has a strong foothold in the data quality tools market and offers TS Quality, a single solution which is capable of ingesting both structured and unstructured data.

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    3.3
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  • SAS offers data quality tools through its data management suite. The suite comprises various features including data integration and access, data preparation for Hadoop, data governance, and event stream processing. The company’s data management solutions help businesses analyze and maintain the data generated by different devices, sensors, and software.

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  • Talend offers Talend Open Studio for Data Quality as its prime solution in the data quality tools market. The software offers intrinsic features, such as data profiling tools, which are instrumental in providing a comprehensive view of enterprise data, and help to recognize grey areas in the organization where the data is either incomplete or duplicated or out of conformance with standards.

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  • Experian Data Quality is a global provider of data quality software and services. These software and services are offered via flexible Software-as-a-Service (SaaS) and on-premises deployment models. The company offers comprehensive data management solutions which help organizations achieve their business goals. Experian Data Quality assists in maintaining the accuracy of the collected data which leads to an efficient operational workflow. It offers a real-time capturing of the customer information which helps in keeping data up-to-date.

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  • Microsoft SQL Server Data Quality Services (DQS) is a knowledge-based product that provides both computer-assisted and interactive methods to govern integrity and quality of the data sources. The DQS solution performs data cleansing through cloud-based reference data services provided by reference data providers. It also provides data profiling integrated with data quality tasks, allowing analysis of the integrity of enterprise data. The data quality tools offered by Microsoft Server DQS empower an information steward or an IT expert to keep up the quality of data.

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    3.0
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  • Pitney Bowes offers a wide range of products in the data quality tools market. These products include Spectrum Data Discovery Module, Spectrum Advanced Matching Module, Spectrum Data Normalization Module, Spectrum Universal Name Module, and Spectrum Universal Addressing Module. The various capabilities offered by the company’s products are data profiling, advanced data matching and consolidation, data enrichment with reference data, standardization and normalization of data, monitoring trends, and Key Performance Indicators (KPIs).

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    2.9
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  • Oracle offers various tools for maintaining the data quality of an organization. Oracle Enterprise Data Quality is a critical component of Oracle data integration and Master Data Management (MDM) solutions. The Oracle Enterprise Data Quality product suite helps organizations achieve maximum business value by providing high-quality data.

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    2.8
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    2.6
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  • Information Builders offer a comprehensive product suite that helps organizations monitor and manage their information assets. The company offers the iWay Omni-Gen Data Management platform which has Omni-Gen Data Quality Edition as one of its chief components. Omni-Gen Data Quality Edition is instrumental in offering all-inclusive features and capabilities that are designed to optimize the integrity of the enterprise data irrespective of the data source, location, or format.

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    2.5
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  • Trianz offers DataVision as its core offering in the data quality tools market. DataVision+ is an automated solution, designed to meet the needs of data comparison across various sources. The cloud and mobileenabled platform enables users to write custom SQL queries, compare data between source and target environments, and generate meaningful reports. DataVision+ is also capable of synchronizing metadata and generating queries automatically to compare. In addition, the solution can test crystal reports and big data.

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    2.3
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  • Tamr offers a patented enterprise data unification platform that combines machine learning with human expertise for combining numerous data sources to provide unmatched scalability, speed, and accuracy. The company distinguishes itself from other market players by offering a bottom-up, machine-learning based approach which is instrumental in unifying disparate enterprise datasets.

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