Embedded Analytics Software

It provides key functionalities such as self-service capabilities, data connectivity with Representational State Transfer (REST) APIs, management APIs, and advanced analytics. Advanced analytics capabilities include support for R visuals in Power BI Embedded, which provides developers visualization flexibility. Users can view and interact with the Power BI reporting experience without any additional licensing or Power BI account. The Power BI Embedded service features a pay-as-you-go consumption-based pricing model.

IBM Embedded Analytics’ capabilities are purpose-built for integrating and embedding into any third-party application, service, or solution. IBM Embedded Analytics’ robust APIs enable easy integration with data, security, User Interface (UI), and processes to enhance the current configuration. The company offers an embedded analytics program for IBM Business Partners. It provides tailored business models and provides its embedded analytics partners the necessary development support and education resources, among other services.

The SAP S/4 Embedded Analytics does not require separate installation or the implementation of any other license. As a part of the S/4HANA software, SAP S/4 Embedded Analytics is generally available with the new SAP S/4HANA releases. It combines transactions and analytics on a single in-memory platform. With SAP S/4HANA Embedded Analytics, SAP supports stand-alone and built-in analytics, simplifies IT deployment efforts, and reduces the Total Cost of Ownership (TCO). SAP S/4HANA Embedded Analytics can be consumed as analytics built into the business processes supported by SAP S/4HANA. It further supports the SAP BusinessObjects BI suite. SAP BusinessObjects BI is a suite of front-end applications that allow business users to view, sort, and analyze BI data.

Oracle BI features visual analytics, self-service capabilities, mobile BI, advanced analytics, enhanced performance capabilities through in-memory processing and easy upgrades. Oracle Analytics Cloud extends Oracle’s analytics offerings to the cloud by combining BI, big data analytics, and embedded SaaS analytics. This enables data analysis for cloud, on-premises, traditional, and big data sources. Further, the company provides a comprehensive suite of applications – Fusion Applications with embedded analytics capabilities.

The Jaspersoft platform serves the full spectrum needs of BI users from casual users and power users to BI application builders and data architects, with self-service capabilities such as interactive reports, dashboards, charts, advanced visualizations, and interactive cross-tabs and analytics. Jaspersoft is a fullfeatured BI platform that, in addition to generating interactive reports and visualizations, includes a report repository, authentication capabilities, role-based access control, multi-tenancy support, an in-memory analytics engine, scheduling and job management, flexible security integration, administration tools, and usage logging.

SAS Office Analytics is a suite of products that enables users to integrate and deploy SAS tools in Microsoft Office products (Excel, PowerPoint, Word, and Outlook). SAS Enterprise BI Server, a comprehensive, easy-to-use BI software solution, integrates BI capabilities into existing business processes. It features portal and customizable dashboards, data visualization, web and desktop reporting, mobile BI, MS Office integration, query and analysis, storage and data exploration, metadata management, guided analysis and model development, and application development. SAS Visual Statistics, available as an add-on with SAS Visual Analytics, is designed for data scientists, statisticians, and business analysts, allowing them to explore massive pools of data, and then interactively and iteratively creating descriptive and predictive models through a drag-and-drop web browser interface. SAS also extends its embedded analytics capabilities to IoT through its SAS Analytics for IoT solution, which not only supports analytics at the edge, but also supports analysis, visualization, and data integration on data center or the cloud. The company works with many communication and hardware vendors to support embedded analytics in their edge devices, especially IoT gateways.

OpenText Big Data Analytics is an analytics software solution for business users and analysts, and it helps access, blend, explore, and analyze data quickly without depending on IT. Furthermore, the company provides OpenText Analytics Designer (formerly BIRT Designer Pro), a free commercial-grade companion design tool for iHub. OpenText Analytics Designer enables developers to design and create dynamic reports with embedded analytics, data visualizations, interactive web applications, and customizable dashboards for personalized insights and a better end-user experience.

They further support multi-tenancy where customers can share the same resources while having access to the permitted data and visualizations. The analytics functionalities can be accessed through a Single Sign-on (SSO) approach. The company introduced key enhancements with its latest release in June 2017 that are expected to help organizations achieve data-driven insights faster than ever, through automated tables and recommendations powered by machine learning algorithms that simplify the search for right data for analysis. It also includes data-driven alerts to provide proactive monitoring of key metrics. The latest release unlocked six new data sources for rapid-fire analysis, including a new connector for extracting data from PDF documents. Additionally, Tableau Online customers are expected to be able to try Tableau Bridge in beta, which enables a direct connection between on-premises data and the cloud.

The platform delivers a number of capabilities such as deep analytical functionality, intuitive workflow, flexible report presentation options, and a unified console for user management, security, administration, system configuration, and monitoring. Users can embed the MicroStrategy platform through two different modes: first, the code free integration enables users to embed MicroStrategy into external business applications with code-free workflows; while the second, the advanced SDK mode enables users to create white-label web and mobile applications that plug directly into their existing security models to deliver personalized analytics. With its open API, users can easily build highly customized BI applications for their customers.

QlikView is a centrally managed end-to-end data discovery platform that provides guided analytics for business users. It enables users to analyze data and use data discovery to facilitate decision making through natural search. QlikView and QlikSense offer a wide range of chart visualizations, including bar charts, tables, line charts, gauges, scatter plots, pie charts, and pivot tables with customizations available. OEM partners producing Windows desktop software are embedding QlikView using the QlikView OCX control and Qlik Sense using Qlik Sense.NET SDK. QlikView and Qlik Sense visualizations can be embedded in any software written in any language that works with OCX or .NET, for example C#, C++, or Visual Basic. QlikTech applications can be customized to match the look and feel of the applications they are to be integrated with.

Key components of the platform include ElastiCube Manager – a visual environment to import, structure, and prepare data for analysis; Sisense Web – a browser environment to create, share, view, and administer dashboards; Server Console – a desktop application to manage system resources and ElastiCube; and third-party data access. Sisense embedded analytics can integrate into software, SaaS, or cloud application to offer data analytics and BI features to third parties. The platform offers comprehensive customization features such as multi-tenant security, SSO, embeddable widgets and dashboards, comprehensive data, and row-level security. Users can integrate other applications to enable authenticated access to Sisense without being prompted to enter separate login credentials. Users can embed the components of a dashboard into any web-based application – from the entire layout to individual visualizations widget – and embed Sisense widgets within their mobile apps.

It provides customers data discovery, dashboards, and data blending capabilities for a fully modernized solution. This cloud-hosted BI solution handles the requirements of both production-oriented BI and end-user data visualization and querying. Intended for all business users from IT and marketing to executive management, the platform offers key features such as responsive and integrated HTML5 dashboards and visual discovery interfaces, automated data refinement, and infinite connectivity framework. It provides robust embedding tools and empowers software providers to embed business analytics into their applications enabling them to fulfill their enterprise production BI, and selfservice data visualization and exploration requirements.

It provides robust support for embedded BI, enabling customers to extend commercial and custom web applications with the extensive BI and analytics capabilities available in WebFOCUS, thereby reducing efforts and providing an optimal user experience. WebFOCUS is a single, enterprise-grade platform for users of different skill levels. It comprises centralized and decentralized capabilities that include data management, visual data discovery, predictive analytics, and operational intelligence. The WebFOCUS query and reporting engine enables users to access numerous databases and file systems through a web browser. The platform also includes WebFOCUS Developer Studio, Managed Reporting, dashboard, and ReportCaster. The BI and analytics platform can be deployed on premises, on the cloud, on mobile devices, or as SaaS applications. The platform is offered in three different editions: Business User edition, the Application edition, and the Enterprise edition.

It provides a continually updated library of elements to embed data visualizations and dashboards, self-service analysis, interactivity options, user input controls, data source connectivity, processes, and API connectors. The product can adopt the security model of the main application, ensuring proper access for all end users. It can be deployed on industry standard web application servers through cloud or on-premises implementations. Further, Logi Info 12.2, a major product release by the company in October 2016, offers key enhancements such as embeddable self-service visual analysis, filter controls for dashboards, editing control, publishing and sharing controls with increased performance up to 10x times.

Embedded analytics capabilities incorporate real-time analysis and reporting with interactive dashboards, ad-hoc and Geographic Information System (GIS) reporting, and provides mobile BI via iPad, iPhone, Android, and standard web browsers. With multi-tenant capabilities, the company’s embedded analytics solution provides a customized experience for each client. There are no upfront software costs, and the licensing and pricing models are tailored according to business requirements. Furthermore, the company provides professional services such training and BI support, which includes tutorials and user guides, integration and authentication support, Yellowfin styling and customization, and dashboard and report creation.