Product Listings
Informatica Data Quality and Observability is a software designed to help organizations assess, monitor, and manage the quality of their data across various sources and environments. The software provides capabilities for data profiling, cleansing, standardization, matching, and validation to ensure data accuracy and consistency. It enables users to define and enforce data quality rules and automate the detection of anomalies and issues within data sets. With features for data quality metrics, monitoring, and reporting, the software helps organizations identify and address data integrity challenges that can affect business processes and decision making. The observability features offer insights into data pipeline health, lineage, and reliability, supporting comprehensive governance and compliance requirements.
SAP Data Services is a software designed to enable organizations to manage, integrate, and transform data from various sources into a unified and reliable format for analytics and business processes. The software supports data migration, cleansing, profiling, and enrichment, allowing users to improve data quality and consistency across enterprise systems. It offers capabilities for extracting, transforming, and loading data, ensuring accurate information is available for business intelligence solutions, regulatory compliance, and operational efficiency. SAP Data Services provides data integration tools for both structured and unstructured data, supporting workflows to automate repetitive tasks and facilitating scalable data management to address complex business requirements.
Ab Initio is a data processing software designed to support complex data integration, transformation, and analysis tasks. The software provides a graphical environment for designing data workflows and enables users to process large volumes of structured and unstructured data. Ab Initio offers features for data extraction, cleansing, validation, and loading across multiple heterogeneous sources. The software supports parallel processing and scalability to address enterprise data integration needs, and it enables automation of repetitive tasks and monitoring of data pipelines. Ab Initio is used to solve business problems related to data movement, quality, and analytics, supporting both batch and real-time processing requirements.
Qlik Talend Cloud is a software designed to facilitate data integration, transformation, and governance across hybrid and multi-cloud environments. The software provides tools for connecting, cleansing, and synchronizing data from disparate sources to enable seamless data movement and preparation. Its functionalities include data pipeline automation, real-time data processing, and collaborative data stewardship, supporting organizations in delivering trusted data assets for analytics and operational workflows. Qlik Talend Cloud addresses the business problem of managing complex data landscapes by offering scalable capabilities to unify, standardize, and secure data, enabling more reliable insights and decision-making across business processes.
Oracle Enterprise Data Quality is a software designed to help organizations manage and improve the quality of their data assets. The software provides features for profiling, cleansing, matching, and monitoring data across various sources. It enables users to identify inconsistencies, duplicate records, and incomplete information within datasets, helping to enhance data accuracy and consistency for business operations. Oracle Enterprise Data Quality supports regulatory compliance, data governance, and analytics initiatives by providing tools to automate the detection and correction of data quality issues. The software is suitable for integration with master data management, business intelligence, and data migration projects, addressing the need for reliable and trustworthy information within enterprise environments.
Ataccama ONE is a software platform focused on data management and governance. It enables organizations to automate data quality monitoring, data profiling, mastering, and cataloging across multiple systems. The software provides features for data integration, metadata management, and policy enforcement while supporting both structured and unstructured data sources. Ataccama ONE addresses business challenges related to data accuracy, consistency, and compliance by consolidating data stewardship processes into a unified interface. It assists users in mapping, cleansing, and harmonizing data assets, aiding regulatory adherence and improving decision-making through reliable information. The platform supports collaboration among business and IT stakeholders, facilitating better data control and visibility throughout the enterprise.
Microsoft Data Quality Services is a software that offers data quality management capabilities by allowing organizations to discover, cleanse, and match data. The software enables users to build a knowledge base and use it to perform data correction and improvement processes. It supports the identification and removal of duplicate or inconsistent records and helps users standardize data from various sources. The software provides profiling, monitoring, and validation functions to ensure the accuracy and integrity of enterprise information. It addresses business challenges related to poor data quality, such as incomplete or incorrect records, thereby supporting better decision making and operational efficiency.
Aperture Data Studio combines self-service data quality, and globally curated data sets in an intelligent data quality and enrichment platform, that empowers modern data practitioners to manage data projects with confidence.
Built for those looking for a powerful but easy to use platform, it has been designed to help users tackle the most pressing data quality challenges, from gaining a single customer view, to improving operational data quality, assisting with data migration and enhancing accuracy in compliance reporting. Users can quickly and easily develop sophisticated workflows to ingest, profile, standardise, transform, match, validate and enrich data using no/low-code drag-and-drop capabilities.
Thanks to its intuitive interface, Data Studio can be implemented, and start being used very quickly with minimal training, ensuring quick value delivery.
DQLabs is an automated modern data quality platform that delivers reliable and accurate data for better business outcomes. DQLabs automates business quality checks and resolution using a semantic layer to deliver “fit-for-purpose” data for consumption across reporting and analytics. With an automation-first approach and self-learning capabilities, the DQLabs platform harnesses the combined power of Data Observability, Data Quality, and Data Discovery to enable data producers, consumers, and leaders to turn data into action faster, easier, and more collaboratively.
SAS Viya is a software platform designed for data management, analytics, and artificial intelligence tasks. It supports a range of analytical methods including data preparation, statistical analysis, machine learning, and deep learning. The software enables users to integrate data from multiple sources, perform complex data transformations, and build analytical models. SAS Viya supports collaborative workflows, allowing different users to access and work on data projects using a common platform. It offers programming interfaces in languages such as Python and R and provides deployment options that accommodate on-premise, cloud, and hybrid environments. The software addresses the challenge of deriving insights from large and diverse datasets to enable data-driven decision making in organizations.
SAS Data Management software enables organizations to access, manage, integrate, and govern data from multiple sources. The software offers capabilities such as data quality management, data integration, metadata management, and master data management. It aids in transforming and cleansing data, ensuring consistency and accuracy throughout business processes. The software supports automation of data workflows, enhances compliance with data governance policies, and facilitates effective decision making by delivering trusted data to business intelligence and analytics platforms. SAS Data Management software addresses the challenge of managing complex and diverse data environments within organizations and aims to streamline data-related operations.
SAP Information Steward is a software that provides tools for managing and improving data quality and metadata management within enterprise environments. It enables organizations to analyze, monitor, and report on the quality of their data and track lineage and relationships between different data assets. The software features data profiling, validation, cleansing, and metadata cataloging capabilities, supporting compliance and governance requirements. It addresses business challenges related to inconsistent, incomplete, or inaccurate data by offering comprehensive views into data quality issues and facilitating collaboration between business and IT users to ensure reliable information for operational and analytical use.
Collibra frees your data from the constraints of silos by unifying data and AI governance across your entire ecosystem, regardless of source or compute engine, for ultimate flexibility in how you manage data. Our Collibra Platform gives you automated visibility, control and tracing from input through output, and it automates documentation and data traceability for AI use cases to power speed, data observability and safety. Our enterprise metadata graph enriches data context with every use, and our intuitive UX brings technical and business users into the fold to access and steward data.
Accelerate and strengthen every data and AI use case when everyone in your organization can trust, comply and consume.
ibi Omni-Gen is a software developed to facilitate master data management and data integration across various business environments. The software provides functionalities for data quality management, profiling, cleansing, and synchronization, helping organizations consolidate disparate data sources into a unified and consistent format. It supports data governance by enabling rules-based data mastering, ensuring accuracy and completeness in business-critical records. The software addresses challenges related to fragmented information and duplicative data, allowing businesses to maintain reliable datasets for analytics, compliance, and operational efficiency. It offers scalability, integration with external systems, and tools for data stewardship to streamline workflows in data management processes.
Redpoint CDP is a customer data platform software designed to aggregate, integrate, and manage customer data from various sources across an organization. The software offers unified customer profiles, identity resolution, data quality management, and audience segmentation capabilities. It enables businesses to consolidate disparate customer information and create a single, accurate view of each individual, facilitating personalized interactions and analytics. Redpoint CDP addresses the challenge of fragmented data environments by streamlining data ingestion, processing, and activation, supporting use cases in marketing, customer experience, and analytics with features for real-time data updates and compliance controls.
Informatica Intelligent Data Management Cloud is a software designed to facilitate data integration, management, and analytics across various cloud and on-premises environments. The software provides capabilities for automating data pipelines, cleansing, cataloging, and transforming data to support improved data quality and governance. It enables organizations to connect and unify disparate data sources, manage data workloads, and ensure data availability for analytics and reporting. The software addresses business challenges related to data fragmentation, complexity in multi-cloud environments, and regulatory compliance by providing centralized control and monitoring functionalities, helping businesses leverage their data for operational and strategic decision-making.
Irion EDM is a software designed to support enterprise data management by enabling organizations to unify, manage, and optimize data from various sources. The software offers functionalities for data integration, data quality control, and master data management, facilitating compliance with data governance policies and regulatory requirements. Irion EDM provides workflow automation and operational monitoring tools that help streamline data processes and reduce errors. The software addresses challenges related to data silos, consistency, and accessibility, allowing businesses to improve decision-making and maintain accurate data assets across departments. It offers customizable modules for handling complex data environments and provides reporting capabilities to aid in tracking data lineage and auditing.
Microsoft Purview Data Governance is a software that assists organizations in managing, cataloging, and governing data across various sources. It provides capabilities for data discovery, classification, and mapping, enabling users to create a comprehensive inventory of data assets. The software facilitates policy management, access controls, and lineage tracking to help ensure data compliance and security. By centralizing metadata and enabling automated data classification, the software aims to support data transparency and help organizations address regulatory and privacy requirements while improving data access and quality for analytics and business operations.
Precisely Data360 is a software designed to facilitate data governance, data quality, and metadata management for organizations managing complex data environments. The software provides features for automated data quality assessment, cataloging, data lineage tracking, and policy enforcement to ensure consistent and accurate data throughout business processes. It supports collaboration among data stewards and integrates with enterprise systems to streamline workflows related to compliance, risk mitigation, and business analytics. Precisely Data360 addresses challenges such as inconsistent data standards and lack of transparency by offering tools for documenting, managing, and monitoring data across the data lifecycle.
Syniti Knowledge Platform’s (SKP) data quality capabilities ensure your data is accurate and consumable, adding business value and delivering better ROI. SKP provides advanced and active metadata scanning and profiling, an auto-created and easy-to-use data catalog for managing rules, policies and enforcements, and the reporting and dashboarding capabilities needed to identify quick wins, define project priorities, and track remediation progress. The unified, enterprise-grade data management platform, organizes and makes your data, rules, information and intellectual property available for re-use, accelerating future remediation phases, data migration projects, data governance initiatives and master data management efforts. Hundreds of vetted data quality reports enable you to rapidly identify ROI and track KPI improvements in real-time, ensuring your data quality initiatives deliver tangible business value.