Augmented Data Quality Solutions Reviews and Ratings
What are Augmented Data Quality Solutions?
Gartner defines augmented data quality (ADQ) solutions as a set of capabilities for enhanced data quality experience aimed at improving insight discovery, next-best-action suggestions and process automation by leveraging AI/machine learning (ML) features, graph analysis and metadata analytics. Each of these technologies can work independently, or cooperatively, to create network effects that can be used to increase automation and effectiveness across a broad range of data quality use cases. These purpose-built solutions include a range of functions such as profiling and monitoring; data transformation; rule discovery and creation; matching, linking and merging; active metadata support; data remediation and role-based usability.
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Informatica is a firm specializing in Enterprise Cloud Data Management which aims to allow businesses to fully utilize their most significant assets. Inventing a fresh category of software, the Informatica Intelligent Data Management Cloud (IDMC), the firm utilizes AI to manage data across multi-cloud, hybrid systems. This innovation offers modern, advanced business strategies by democratizing data. With a global reach, the company is focused on driving digital transformation powered by data. The firm's tagline is, 'Where data comes to life'.
SAP is a company that aims to improve operational efficiency worldwide. The primary focus is on helping customers optimize their business operations. SAP develops innovative solutions to support this objective. The company plays a crucial role in transforming industries by fostering opportunity and equality on a global scale. By collaborating with customers and partners, SAP is capable of making substantial changes across various industries, supporting the growth and development of economies and societies.
Qlik, after incorporating Talend, focuses on data integration, information quality, and analytics solutions. Its extensive cloud platform consolidates data from various cloud and hybrid environments, automates data-based workflows, and enriches understanding with artificial intelligence. The primary function of Qlik is to make data easily accessible and utilizable for enhanced, efficient business results. It reaches out to a broad base of users in numerous countries, aiming to provide potent data solutions for changing organizational requirements.
Ab Initio provides software for enterprise data integration, data management, and data governance. This include batch/real-time processing, business rules management, business user self-service, metadata, data quality, and more.
Ataccama enables organizations to maximize the transformative potential of data and AI with Ataccama ONE, a unified, AI-powered data management platform for automated data quality, data governance, and master data management across cloud and hybrid environments. With more than 450 customers around the globe, we enable business and data teams to collaborate on creating high-quality, reusable data products and massively scale data-driven innovation while maintaining data accuracy, control, and governance.
Oracle is a cloud technology company that offers computing infrastructure and software solutions globally. This organization has developed an autonomous database, the first of its kind, to help manage and secure data. Oracle Cloud Infrastructure presents functionalities to facilitate the transition of workloads from on-site systems to the cloud, and vice versa, as well as between different clouds. Oracle's cloud software applications provide modern tools designed to support sustainable growth and resilience in businesses. Tools developed by Oracle are used by a wide range of users including nonprofit organizations and businesses of various sizes, to aid in operations like supply chain streamlining, human resource management, financial planning and connecting data and global users. Apart from business solutions, Oracle's technology also aids in tasks ranging from government defense to scientific and medical research.
Experian is a global data and technology company, used by people and businesses around the world. Using data, analytics and software, we help with lending practices, fraud prevention, healthcare, and digital marketing. We operate across a range of markets, from financial services to healthcare, automotive, agrifinance, insurance, and more industry segments. We are a FTSE 100 Index company listed on the London Stock Exchange (EXPN) and have a team of 22,500 people across 32 countries. Our corporate headquarters are in Dublin, Ireland.
Microsoft enables digital transformation for the era of an intelligent cloud and an intelligent edge. Its mission is to empower every person and every organization on the planet to achieve more. Microsoft is dedicated to advancing human and organizational achievement.
Microsoft Security helps protect people and data against cyberthreats to give peace of mind.
DQLabs is an augmented data quality and observability platform that assists organizations in delivering dependable and precise data to improve their business outcomes. The platform offers automation-first and self-learning features, combining Data Observability, Data Quality and Data Discovery. This enables data producers, consumers, and leaders to transform data into actionable insights quickly, easily, and in a collaborative manner.
SAS is a global leader in AI and analytics software, including industry-specific solutions. SAS helps organizations transform data into trusted decisions faster by providing knowledge in the moments that matter. SAS gives you THE POWER TO KNOW®.
SAP is a company that aims to improve operational efficiency worldwide. The primary focus is on helping customers optimize their business operations. SAP develops innovative solutions to support this objective. The company plays a crucial role in transforming industries by fostering opportunity and equality on a global scale. By collaborating with customers and partners, SAP is capable of making substantial changes across various industries, supporting the growth and development of economies and societies.
Bluesky is a firm that specializes in enhancing data cloud efficiency. The enterprise provides an updated data infrastructure that significantly improves the speed and cost-effectiveness of querying and analytics over data clouds. A key focus area for Bluesky is to aid in the management of data cloud expenses, better productivity for data analysts and data scientists, and to reduce complexity for data engineers. The company team consists of innovative industry professionals with vast experience across numerous significant industry sectors. Bluesky was initiated by a highly capable and experienced team that received both VC and angel support in Enterprise, Data, and Machine Learning sectors.
Redpoint is a software platform provider that offers solutions to innovate the customer experience and drive revenue growth for businesses. The Redpoint CDP creates an accurate unified customer profile for any business use case, using data quality and identity resolution combined with no-code segmentation and activation. The Redpoint CDP facilitates customer interactions, personalized moments, and relevant next-best action recommendations. Marketers and CX leaders rely on Redpoint to deliver personalized experiences that yield tangible ROI in customer acquisition, engagement, loyalty and retention.
SAS is a global leader in AI and analytics software, including industry-specific solutions. SAS helps organizations transform data into trusted decisions faster by providing knowledge in the moments that matter. SAS gives you THE POWER TO KNOW®.
Collibra, established in 2008, provides data solutions via its Data Intelligence Cloud. The company focuses on delivering trustworthy data across multiple sources for various uses and users. Their specialty lies in offering adaptable governance, relentless quality, and integral privacy to diverse kinds of data. Collibra's products find traction among the Global 2000 clientele, enabling these organizations to expedite their workflows and swiftly achieve superior results. Although the company operates globally, they maintain offices in several countries including the U.S., Belgium, Australia, the Czech Republic, France, Poland, and the U.K.
Precisely is a worldwide company that specializes in data integrity. It offers services that enhance the accuracy, consistency, and context of data. The company's core focus is a range of products including data integration, data quality, data governance, location intelligence, and data enrichment. These products are designed to aid in business decisions to yield improved results.
Syniti solves the world’s most complex data challenges by uniquely combining intelligent, AI-driven software and vast data expertise to yield certain and superior business outcomes. For over 25 years, Syniti has partnered with Fortune 2000 to unlock valuable insights that ignite growth, reduce risk and increase their competitive advantage. Syniti’s silo-free enterprise data management platform supports data migration, data quality, data replication, master data management, analytics, data governance, and data strategy in a single, unified solution.
Experian is a global data and technology company, used by people and businesses around the world. Using data, analytics and software, we help with lending practices, fraud prevention, healthcare, and digital marketing. We operate across a range of markets, from financial services to healthcare, automotive, agrifinance, insurance, and more industry segments. We are a FTSE 100 Index company listed on the London Stock Exchange (EXPN) and have a team of 22,500 people across 32 countries. Our corporate headquarters are in Dublin, Ireland.
Informatica is a firm specializing in Enterprise Cloud Data Management which aims to allow businesses to fully utilize their most significant assets. Inventing a fresh category of software, the Informatica Intelligent Data Management Cloud (IDMC), the firm utilizes AI to manage data across multi-cloud, hybrid systems. This innovation offers modern, advanced business strategies by democratizing data. With a global reach, the company is focused on driving digital transformation powered by data. The firm's tagline is, 'Where data comes to life'.
IBM is a well-established entity focused on technology and development. The primary mission revolves around fostering technological growth and enhancing infrastructure, achieved through focused developments and consulting services. By encouraging inventiveness and innovation, it is geared towards facilitating the transition of theoretical ideas into practical realities, thus improving global functionalities. IBM brings about transformation by creating advanced solutions that reshape and redefine the world.
Features of Augmented Data Quality Solutions
Mandatory Features:
Connectivity: This is the ability to access and apply data quality across a wide range of data sources, including internal/external, at-rest/streaming, on-premises/cloud and relational/nonrelational data sources.
Data transformations (parsing, cleansing and standardizing): This involves the decomposition and formatting of diverse datasets based on government, industry or local standards; business rules; knowledge bases; metadata; and machine learning. This also involves the modification of data values to comply with domain restrictions, integrity constraints or other business rules. Augmented solutions may use a combination of supervised and semi supervised AI and ML models to parse, standardize and cleanse data.
Rule discovery, creation and management: This is the ability to design, create and deploy business rules for specific data values. The rules can be called within the solution or by third-party applications for data validation purposes, which can be done in batch or real-time mode. Augmented solutions will support the creation of ML-supported data quality rules through a training interface that uses: Unsupervised algorithms that can infer and create data quality rules automatically; Natural language statements that describe and can execute a data quality rule
Business-driven workflow and issue resolution: These are processes and a user interface to manage the data quality issue resolution through the stewardship workflow, and to enable business users to easily identify, quarantine, assign, escalate and resolve data quality issues as facilitated by collaboration, pervasive monitoring and case management. Augmented solutions can initiate and assign data quality issues leveraging and activating business, technical and operational metadata.
Matching, linking and merging: This involves matching, linking and merging of related data entries within or across diverse datasets using a variety of traditional and new approaches, such as rules, algorithms, metadata, AI and machine learning. Augmented solutions utilize AI and ML models to automatically suggest potential matches and can tune the results based on user feedback. For merging tasks, consolidation rules for merging data are automatically suggested and refined based on user feedback. User involvement in terms of selecting algorithms, constructing specific match and consolidation rules, and configuration and tuning or matching parameters should be minimal.
Profiling and monitoring/detection: This involves the statistical analysis of diverse datasets (ranging from structured to unstructured data and from on-premises to cloud) to give business users insight into the quality of data and to enable them to identify data quality issues. Results from profiling should be able to drive the ongoing monitoring for data quality issues based on preconfigured, custom-built monitoring rules (or adaptive rules) and alert violations. This automatically detects outliers, anomalies, patterns and drifts.