Manufacturing industries handle multiple sets of data, which needs to be continuously captured and analyzed to streamline business applications and optimize business resources. The industry handles routine structured in-factory data, along with analog data, images, raw sensor data, and information churned out from applications inside the factory and other sources, which include Enterprise Resource Planning (ERP) systems, manufacturing execution systems, time and attendance logs, supplier information, and various process automation and control systems.
With the manufacturing systems becoming increasingly sophisticated and software-driven, it is imperative for data scientist to use effective data quality tools. All the associate systems such as Customer Relationship Management (CRM), ERP as well as Supply Chain Management (SCM) would have an adverse effect and will suffer owing to poor data quality ingested into these systems. Moreover, maintaining data quality would be of significant importance to optimize supply chain and induce efficiencies in the manufacturing processes. Effective data management program could be highly helpful in reducing the product development costs as well. Having a robust data management program within the processes would help in countering numerous types of risks such as economic, technical, and supplier risks.

Find the best Data Quality Tools Software solution for your business, using ratings and reviews from buyers, analysts, vendors and industry experts

EVALUATION CRITERIA

Below criteria are most commonly used for comparing Data Quality Tools Software tools.
  • Breadth and Depth of Product Offerings
    • Products Offered
    • licenses
    • Services
      • Education & Training
      • Support & Maintenance
      • Consulting Services
      • Deployment & Integration Services
    • Data Quality tools provided
      • De-Duplication Tools
      • Noramalization Tools
      • Other Tools
  • Product Features and Functionality
    • Features Offered
      • Data Governance
      • Data Integration
      • Data Migration
      • Data Enrichment
      • Metadata Management
      • Data Stewardship
      • Data Profiling
      • Data Monitoring
      • Data Validation and Standardization
      • Other Feautures
  • Delivery
    • Deployment Model
      • On-Premise
      • Hosted / On-Cloud
    • Channel of Delivery
      • Through Partners / Third-Party Vendors / MSSPs
      • Directly
  • Business Applications
    • End Users/Workstations
      • Other
  • Support and Services
    • Level of Support
    • Customer Redressal Mechanism/Program
    • Support Services
      • Technical Support
      • Customer Support
      • Sales Support
    • Channel for Delivery of Support Services
      • On-Site Support
      • Remote Support

TOP VENDORS

    • SME
    • California, US
    • Founded: 1997
    • $101MN to $500MN
    • 101 to 500
    • Enterprise
    • 501 to 1,000
    • SME
    • Hyannis, Massachusetts, US
    • Founded: 1996
    • $51MN to $100MN
    • 101 to 500
    • Enterprise
    • 501 to 1,000
    • Enterprise
    • 501 to 1,000
  • #

    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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    • Enterprise
    • Dublin, Ireland
    • Founded: 1996
    • $1BN to $5BN
    • 35,001 to 40,000
  • #

    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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    • Enterprise
    • 1 to 50
  • #

    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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    • Enterprise
    • Redwood City, California, US
    • Founded: 1993
    • $1BN to $5BN
    • 1,001 to 5,000
  • #

    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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    • SME
    • New York, US
    • Founded: 1975
    • $101MN to $500MN
    • 1,001 to 5,000
    • Enterprise
    • Princeton, New Jersey, US
    • Founded: 2003
    • 51 to 100
    • Enterprise
    • 501 to 1,000
    • Enterprise
    • 501 to 1,000
  • #

    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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    • Enterprise
    • Washington, USA
    • Founded: 1975
    • More than $100 BN
    • 1,00,001 to 5,00,000
    • Enterprise
    • 501 to 1,000
  • #

    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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    • Enterprise
    • California, USA
    • Founded: 1977
    • $10BN to $50BN
    • 1,00,001 to 5,00,000
  • #

    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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    • Enterprise
    • 501 to 1,000
    • Enterprise
    • 501 to 1,000
    • Enterprise
    • 501 to 1,000
  • #

    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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    • Enterprise
    • Walldorf, Germany
    • Founded: 1972
    • More than $100 BN
    • 501 to 1,000
  • #

    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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    • SME
    • New Jersey, US
    • Founded: 1968
    • $101MN to $500MN
    • 501 to 1,000
  • #

    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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    • SME
    • Redwood City, California, US
    • Founded: 2005
    • $51MN to $100MN
    • 501 to 1,000
  • #

    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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    • Enterprise
    • 501 to 1,000
  • #

    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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    • Enterprise
    • California, US
    • Founded: 2001
    • $10BN to $50BN
    • 1,001 to 5,000

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