Analytics and business intelligence (ABI) platforms enable less technical users, including businesspeople, to model, analyze, explore, share and manage data, and collaborate and share findings, enabled by IT and augmented by artificial intelligence (AI). ABI platforms may optionally include the ability to create, modify or enrich a semantic model including business rules.
Reviews for 'Application Development, Integration and Management - Others'
Application platforms provide runtime environments for application logic. They manage the life cycle of an application or application component, and ensure the availability, reliability, scalability, security and monitoring of application logic. They typically support distributed application deployments across multiple nodes. Some also support cloud-style operations (elasticity, multitenancy and self-service).
Application Release Orchestration (ARO) tools provide a combination of deployment automation, pipeline and environment management, and release orchestration capabilities to simultaneously improve the quality, velocity and governance of application releases. ARO tools enable enterprises to scale release activities across multiple, diverse and multigenerational teams (e.g., DevOps), technologies, development methodologies (agile, etc.), delivery patterns (e.g., continuous), pipelines, processes and their supporting toolchains.
Gartner defines the cloud database management system (DBMS) market as being that for products from vendors that supply fully provider-managed public or private cloud software systems that manage data in cloud storage. Data is stored in a cloud storage tier (such as a cloud object store, a distributed data store or other proprietary cloud storage infrastructure), and may use multiple data models — relational, nonrelational (document, key-value, wide-column, graph), geospatial, time series and others. These DBMSs reflect optimization strategies designed to support transactions and/or analytical processing for one or more of the following use cases: Traditional and augmented transaction processing, Traditional and logical data warehouse, Data science exploration/deep learning, Stream/event processing, and Operational intelligence This market does not include vendors that only provide DBMSs hosted in infrastructure as a service (IaaS), such as in a virtual machine or container, and managed by the customer.
Continuous configuration automation (CCA) tools enable the description of configuration states, customization of settings, software binaries deployment, and configuration state reporting. These tools are a programmable framework on which configuration and provisioning tasks can be codified, versioned and managed like any other piece of application code — frequently known as "infrastructure as code." Many of the tools in the market provide a repository to store and manage configuration content but can be integrated with or use (code) revision control systems in use by application development teams. System administrators and application developers use CCA tools to programmatically manage the configurations of applications, servers, middleware, databases and other IT infrastructure for both on-premises and cloud data centre environments. Most CCA tools have both an open-source and commercial offering.
The market for data integration tools includes vendors that offer software products to enable the construction and implementation of data access and data delivery infrastructure for a variety of data integration scenarios. For vendors, the demand for traditional data integration capabilities alongside the demand for innovative solutions requires robust, consistent delivery of highly developed solutions. Similarly, data integration tools interoperate and integrate with master data tools, data governance tools and data quality tools. Examples of this type of interoperability include: • Support for governance and management of data assets • Data acquisition for analytics and business intelligence (BI) and data • Sourcing and delivery of master data in support of master data management (MDM) • Data consistency between operational applications • Interenterprise data sharing.
A digital experience platform (DXP) is a well-integrated and cohesive set of technologies designed to enable the composition, management, delivery and optimization of contextualized digital experiences across multiexperience customer journeys. A DXP can provide optimal digital experiences to a variety of constituents, including consumers, partners, employees, citizens and students, and help ensure continuity across the full customer lifetime journey. It provides the presentation orchestration that binds together capabilities from multiple applications to form seamless digital experiences. A DXP forms part of a digital business ecosystem via API-based integrations with adjacent technologies. DXPs are applicable to business-to-consumer (B2C), business-to-business (B2B) and business-to-employee (B2E) use cases.
ITIM tools capture the health and resource utilization of IT infrastructure components no matter where they reside (for example, in a data center, at the edge, infrastructure as a service [IaaS] or platform as a service [PaaS] in the cloud). This enables I&O leaders to monitor and collate the availability and resource utilization metrics of physical and virtual entities, including servers, containers, network devices, database instances, hypervisors and storage. Notably, these tools collect data in real time and perform historical data analysis or trending of the elements they monitor.
Mobile app analytics tools collect and report on in-app data pertaining to the operation of the mobile app and the behavior of users within the app. These areas of app analytics are defined as follows: Operational analytics: Provides visibility into the availability and performance of mobile apps in relation to device, network, server and other technology factors. Operational analytics are essential to capture and fix unexpected app behavior (such as crashes, bugs, errors and latency) that can lead to user frustration and abandonment of the app. Such analytics should be applied at both the app testing phase and after release of the app into production. Behavioral analytics: Shows how app users interact with the app to gain actionable insights, drive app improvements and improve business outcomes. Behavioral data can be analyzed based on correlating clicks, swipes, views and other usage stats based on user profiles, segmentation/cohorts, retention, funnel/event tracking and A/B testing.
Gartner defines a mobile application management (MAM) tool as an on-premises or SaaS tool specifically designed for the license management, distribution, securing and life cycle management of apps for mobile device platforms. Thus, MAM tools provide integration with public app store payment and licensing mechanisms (such as Apple's Volume Purchase Program [VPP]), an enterprise app store, and the ability to set policies related to security, usage and ongoing management for apps or groups of apps. At minimum, a MAM product supports native and HTML 5 apps. Many also support a variety of popular hybrid app architectures, which may be highly desirable based on a particular client's needs.
A multi-experience development platform (MXDP) is a product or suite of products that offers professional developers (and potentially including citizen developers) an integrated set of front-end development tools and back-end services that enable scalable development of fit-for-purpose apps across digital touchpoints--including custom mobile apps, responsive web and PWAs, immersive, and conversational app support.
The Network Performance Monitoring (NPM) market consists of tools that leverage a combination of data sources to provide a holistic view of how networks (including corporate on-premises, cloud, multicloud, hybrid and other networks) are performing. Data sources include: Network-device-generated traffic data Raw network packets Network-device-generated health metrics and events NPM tools provide diagnostic workflows and forensic data to identify the root causes of performance degradations — increasingly through the adoption of advanced technology, such as artificial intelligence (AI) or machine learning algorithms (ML). Finally, based on network-derived performance data, NPM tools provide insight into the quality of the end-user experience.
Reviews for 'Office Productivity Solutions - Others'
The software test automation market offers tools, technologies, components and services that together constitute the critical elements of automated testing. It includes tools for performing static code analysis, functional testing, and load and performance testing in an automated way. These tools enable an organization to design, develop, maintain, manage, execute and analyze automated tests for applications running on different platforms (including desktop, web, mobile and server). They can run automated tests by driving the user interface (UI) of an application (known as UI test automation), or interact with the application through an application programming interface (API test automation) or communication protocol.
Gartner defines web content management (WCM) as the process of controlling content consumed over one or more digital channels through the use of specific management solutions based on a core repository. These solutions may be procured as commercial products, open-source tools, cloud services or hosted services. The functionality of WCM solutions goes beyond means of simply publishing webpages. It also includes: • Content creation functions • Repositories that organize and provide metadata about content • Library services • Website management features • A high degree of Capabilities such as real-time personalization of visitor interactions • The ability to integrate well with delivery platforms.