Data Quality (DQ) Tools

The PiLog Data Quality and Governance Suite is a solution for Material, Service, Vendor, Customer, Assets, Employee, etc. with embedded Data Quality Management. It is a multi-domain, multi-lingual solution to create and maintain all the master data records in a single installation. One of the primary functions is that of Master Data Management with governance processes specific to creation, change, extension, deletion, and archiving to manage the complete life cycle of the master data records.

SAS Viya (formerly SAS Visual Data Mining and Machine Learning) is a cloud-native, end-to-end data and AI platform that makes development easier and boosts productivity with tools that are friendly for everyone on your team. Solve the most complex analytical problems with a single, integrated, collaborative solution – now with its own automated modeling API.

Talend offers robust data integration in an open and scalable architecture to maximize its value to your business. Simple, graphical tools and wizards get you up and running quickly with native code generation and Continuous Delivery capabilities that streamline development.

SQL Server Data Quality Services (DQS) is a knowledge-driven data quality product. DQS enables you to build a knowledge base and use it to perform a variety of critical data quality tasks, including correction, enrichment, standardization, and de-duplication of your data. DQS enables you to perform data cleansing by using cloud-based reference data services provided by reference data providers. DQS also provides you with profiling that is integrated into its data-quality tasks, enabling you to analyze the integrity of your data.

Unlock meaning from all of your organization’s data – structured or unstructured – with SAP Data Services. This data management software provides best-in-class functionality for data integration, quality, cleansing, and more. Ensure end-to-end support for growing data quality needs across users and data types with AI-driven automation.

Oracle Enterprise Data Quality provides a comprehensive data quality management environment, used to understand, improve, protect and govern data quality. The software facilitates best practice Master Data Management, Data Governance, Data Integration, Business Intelligence and data migration initiatives, as well as providing integrated data quality in CRM and other applications and cloud services.

Informatica Data Quality & Observability empowers your company to take a holistic approach to managing data quality across your entire organization. With Informatica Data Quality, you’ll be able to ensure the success of your data-driven digital transformation initiatives and projects across users, types, and scale, while also automating mission-critical tasks.

Melissa Data Quality Suite leverages 35+ years of deep domain expertise in address management, data quality and identity verification to ensure your data is clean, accurate and fit for purpose. Easily validate, parse, standardize, match, and enrich customer data with global address verification, email validation, phone verification and name verification. With flexible on-premise and Cloud/SaaS deployment models, the Data Quality Suite is customizable to every environment and will empower your organization to unlock the full potential of your data.

Cloudingo is a cloud-based deduplication and data quality application built specifically for Salesforce. Cloudingo is a fully customizable, easy-to-use platform that makes the pain of cleaning and managing Salesforce data a thing of the past. Cloudingo finds duplicates using user-defined filters. Start with prebuilt filters then create more with the drag-and-drop user interface.

Automate revenue operations from data to action Maintain clean CRM data, automate lead routing, and trigger workflows based on buying signals and business logic with ZoomInfo Operations.