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.
Data and Analytics refers to products and services that enable organizations to collect, integrate, analyze, and act on data to drive informed decision-making and business outcomes. This category includes markets that focus on empowering enterprises to manage data pipelines, ensure data quality and governance, extract insights through advanced analytics, and machine learning across structured and unstructured data environments.
A data and analytics governance platform is a set of integrated business and technology capabilities that help business leaders and users develop and manage a diverse set of governance policies and enforce those policies across business and data management systems. These platforms are unique from data management in that data management focuses on policy execution, whereas D&A platforms are used primarily by business roles — not only or even specifically IT roles — for policy management. Data and analytics (D&A) leaders who are investing in operationalizing and automating the work of D&A governance should evaluate this market. The work of D&A governance primarily includes policy setting and policy enforcement, and collaborates with data management (policy execution). Use cases are employed across numerous governance policy categories and multiple business scenarios and asset types (data, KPIs, analytics models). The intersection of use-case/business scenarios, policy categories and assets to be governed is then used to identify the technology capability. These capabilities may share similar names across policy categories, but may not mean the same thing, or may be used differently by various governance personas. For example, data classification in a data security implementation would be quite different from a data classification effort for creating trust models, which would be based on lineage and curation.
Gartner defines identity verification (IDV) as the combination of activities during a digital interaction that brings a real-world identity claim within organizational risk tolerances. Identity verification capabilities — delivered as SaaS, software or an appliance — provide assurance that a real-world identity exists and that the individual claiming the identity is its true owner and is genuinely present during the digital interaction. The purpose of identity verification is to establish confidence in the real-world identity of a person during a digital interaction when curated credentials do not exist, are not available or do not provide sufficient assurance.
Gartner defines the OFD market as the market for solutions that detect and prevent fraudulent actions within digital channels (browsers and mobile apps). OFD solutions provide a spectrum of capabilities within digital channels to prevent direct and indirect financial losses and to mitigate risks. Their core capabilities: Mitigate the activity of malicious automated bots; Detect account takeover (ATO) attacks and trigger remedial actions; Detect fraudulent activity in high-risk events along the digital customer journey, such as when customers make payments, transfer funds, perform account management actions or access personally identifiable information (PII).
Patient Scheduling Software streamlines the process of organizing and managing patient appointments within healthcare facilities. It enables healthcare providers to efficiently schedule, reschedule, and cancel appointments through various channels, such as online portals, mobile apps, or in-person interactions. This software integrates with calendars to provide real-time availability, preventing double bookings and optimizing the use of resources, and includes automated appointment reminders to reduce no-shows. It often includes features like patient management to maintain comprehensive records, and reporting and analytics to offer insights into scheduling patterns and resource utilization. Additionally, it ensures compliance with data privacy and security regulations, such as HIPAA, enhancing both operational efficiency and patient satisfaction.