Embedded Business Intelligence reviews by real, verified users. Find unbiased ratings on user satisfaction, features, and price based on the most reviews available anywhere.
Products classified in the overall Embedded Business Intelligence category are similar in many regards and help companies of all sizes solve their business problems. However, enterprise business features, pricing, setup, and installation differ from businesses of other sizes, which is why we match buyers to the right Enterprise Business Embedded Business Intelligence to fit their needs. Compare product ratings based on reviews from enterprise users or connect with one of G2's buying advisors to find the right solutions within the Enterprise Business Embedded Business Intelligence category.
In addition to qualifying for inclusion in the Embedded Business Intelligence Software category, to qualify for inclusion in the Enterprise Business Embedded Business Intelligence Software category, a product must have at least 10 reviews left by a reviewer from an enterprise business.
Qlik Sense is a platform for modern, self-service analytics, driving discovery and data literacy for all types of users across an organization. It supports the full range of analytics use cases - from self-service visualization and exploration to guided analytics apps and dashboards, custom and embedded analytics, mobile analytics, and reporting. And, it does this within a governed, multi-cloud architecture that delivers maximum trust, scale, and flexibility for the organization. Qlik Sense pro
The MicroStrategy platform offers a complete set of business intelligence and analytics capabilities that enable organizations of any size or maturity to get value from their business data. Organizations use MicroStrategy to build and deploy analytical and data discovery applications in the form of personalized reports, real-time dashboards, pixel-perfect documents, mobile applications, and more. MicroStrategy also brings organizations HyperIntelligence®, the first ever tool that brings insights
Looker is reinventing business intelligence for the modern company. Looker works the way the web does: browser-based, its unique modeling language lets any employee leverage the work of your best data analysts. Operating 100% in-database, Looker capitalizes on the newest, fastest analytic databases—to get real results, in real time.
The Sisense data & analytics platform makes it incredibly easy to mashup data across your entire data landscape and transform it into powerful, actionable analytics applications that can be embedded anywhere. From innovative startups to global brands like GE, Wix, Nasdaq, and Philips, thousands of organizations worldwide use Sisense to accelerate innovation and drive digital transformation by embedding Sisense into their businesses. Whether your data is in the cloud, on-prem, or a mix of bo
Toucan Toco is the Data Storytelling platform that communicates clear and compelling insights to business users, no matter their data literacy levels or device used, and without the need for training, coding or design skills, or hardware requirements. Toucan is the first analytics platform to include a built-in UX that packages the best practices of design and storytelling for the sake of speed of deployment, consistent clarity and unconditional accessibility; leading to some of the highest ad
Oracle Analytics Cloud is a comprehensive cloud analytics platform that empowers you to fundamentally change how you analyze and act on information. Empower leaders, analysts, and IT to access data from wherever they are, even using mobile devices. Oracle Analytics Cloud helps organizations discover unique insights faster with machine learning. With augmented analytics, combine data from across your organization with third-party data and automate important and time-consuming tasks such as dat
ThoughtSpot is a next-generation search & AI-driven analytics platform. With ThoughtSpot, users type questions into a search box like they would with Google or Bing and instantly get precise answers. The analytics platform presents best-fit visualizations so users can easily analyze data, create reports and build dashboards without relying on IT. ThoughtSpot connects with and combines any on-premise, cloud, big data, or desktop data source. Search gives everyone fast and easy access to gran
Mode helps companies make better decisions and answer new questions by unlocking the value in data. Mode’s collaborative analytics platform combines SQL, Python/R notebooks, interactive visualizations—both out-of-the-box and custom using HTML, CSS, and D3.js—and shareable live reports. Analysts, data professionals, and stakeholders can collaborate, analyze, and explore.
Domo’s mission is to be the operating system for business, digitally connecting all your people, your data and your systems, empowering them to collaborate better, make better decisions and be more efficient, right from their phones. Domo works with many of the world’s leading and most progressive brands across multiple industries including retail, media and entertainment, manufacturing, finance and more. For more information about Domo (Nasdaq: DOMO), visit www.domo.com.
Developer Grade Analytics. The Logi Analytics platform is specifically designed for product managers and developers needing to rapidly build, deploy, and maintain engaging, secure, and smarter mission-critical applications. Logi is purpose-built to serve the embedded model, so our clients increase the likelihood of building valuable, long lasting applications. Our product innovation investments are concentrated on enriching embedded analytics capabilities, so your applications become more valua
Cognos Analytics is an AI-fueled business intelligence platform that supports the entire analytics cycle, from discovery to operationalization. Cognos Analytics gives every user — whether data scientist, business analyst or non-specialist — more power to perform relevant analysis in a way that ties back to organizational objectives. It shortens each user’s journey from simple to sophisticated analytics, allowing them to harness data to explore the unknown, identify new relationships, get a deep
Dundas BI is an enterprise business intelligence and visual data analytics platform that allows you to easily connect, prepare and analyze your data so you can turn it into pixel-perfect dashboards and reports. It provides users the ability to create interactive, customizable dashboards, build their own reports, run ad-hoc queries, perform visual data discovery and collaborate with others. The Dundas BI platform is extremely flexible with massive out-of-the-box capabilities and open API across t
Highly scalable, elastic, and secure cloud analytics architecture capable of supporting the entire data pipeline for companies with hundreds of internal or external users: SaaS’ customers/users, external partners (other companies), or internal teams. Best for companies looking for a seamless, secure, embeddable, and highly customizable data analytics platform for hundreds or thousands of internal or external users. These users can range from internal teams to outside organizations (business par
Yellowfin is the only analytics suite that successfully combines action based dashboards with industry-leading automated analysis and data storytelling. By delivering the best analytical experience, Yellowfin provides your users with unique ways to engage with and act on their data, and addresses the needs of data analysts, business users, customers and developers who want to build, deploy or use amazing analytical experiences. Analytics for software companies Integrate and embed analytics wit
Embedded Business Intelligence for Software Providers Exago BI is a 100% web-based, seamlessly embedded business analytics solution for software companies looking to provide ad hoc and operational reporting, interactive dashboards, and scheduling to their clients. Our completely white-labeled, end-to-end BI solution tightly integrates with your web-based SaaS or on-premise application and allows non-technical users to create reports and dashboards without help from IT. Exago provides advanced
TIBCO Jaspersoft® empowers people to make faster decisions by bringing them timely, actionable data inside their apps and business processes. Jaspersoft delivers comprehensive self-service capabilities and a flexible, embeddable architecture with an affordable subscription model. By embedding modern analytics technology into modern applications, Jaspersoft can provide interactive reporting for operational managers, dashboards for executives, data exploration and analytics for analysts, and data
Embedded business intelligence (BI) software, also known as embedded analysis software, gives users self-service analytics capabilities within business applications. Software developers use embedded business intelligence tools to build analytics into business applications, giving users access to analytics without relying on third party BI consultants or customer support. The software in this category makes it easy to house analytics inside a specific application. Additionally, some embedded business intelligence platforms provide businesses with embedded dashboards; this allows employees easy access to relevant analysis.
While these tools may be sold to enterprise companies for internal systems such as HR or ERP systems, they are usually sold to other software companies who integrate them in existing software to give the software embedded business intelligence capabilities.
Key Benefits of Embedded Business Intelligence Software
Business applications produce vast amounts of data which can be very useful for end users. Traditionally, business users that wanted to extract and analyze data would use business intelligence platforms; they would need to extract the data from the application and upload it to the platform. Embedded business intelligence is an alternative approach where users can access analytics from within the user interface of the given application. Embedded business intelligence provide users with interactive visual dashboards and reporting functionality within the actual business application.
Engaged users — Incorporating embedded business intelligence into applications results in higher productivity for end users, since they can access data and analytics within the application they are using.
Improved efficiency — Companies are seeing a decline in ad hoc analytics requests when embedded business intelligence is deployed.
Better applications — Users spend more time using applications when they are enhanced with embedded business intelligence, this leads to enhanced productivity and better deployment of the applications.
Analytics is no longer out of reach for the everyday employee. Thanks to self-service analytics and embedded business intelligence, data analysis is open to many, and insights can be drawn from data by anyone with basic software capabilities. However, there are still specific positions that utilize this software more than others.
Software developers — Developers that want to create the next generation of products and services can use embedded business intelligence to build analytics capabilities into their applications, including custom reports and dashboards.
Business users — Analytics can be at the business user’s fingertips, allowing them to understand the data. The user-friendly designs of this software are especially helpful for users at smaller companies where this type of analysis is a small facet of a user’s job.
Business analysts — These tools give business analysts the ability to create custom dashboards and reports that serve a variety of stakeholders. These platforms empower analysts to stay up to date on their rapidly changing markets.
Data engineers — With embedded business intelligence, data engineers can focus on pulling data from disparate sources, furthering their ability to build analytics apps, widgets, and dashboards for business users.
There are two areas where embedded business intelligence software are typically used, externally and internally. In both cases, analytics capabilities are built into business applications, the only difference is the end user.
External embedding — Embeds analytics into customer-facing applications to make them more useful, allowing users to understand the data they are viewing or creating. An example of external embedding would be a mobile app development company that builds a portal for clients to access analytics related to their mobile applications.
Internal embedding — Integrates reports and dashboards into tools a business’s employees use, allowing them to garner insights into their data from a wide range of sources and formats. An example of internal embedding would be a company’s IT department that develops and manages applications used by internal stakeholders and partners to understand internal company data, such as sales and marketing metrics.
Embedded business intelligence software tend to have a wide range of features, including visualization and reporting and data modeling. The following features are found in most embedded business intelligence software.
Integratable — When embedded business intelligence capabilities are integrated in a business application, users can access dashboards, visualizations, and reports.
White labeling — Embedded business intelligence software give developers the ability to white label and seamlessly integrate analytics to match the look and feel of of any given application.
Visualizations and reporting — Users can create reports and other user-friendly visualizations to better illustrate data and gain a competitive advantage.
Data modeling — Support self-service data modeling, blending, and discovery processes. These advanced analytics capabilities allows the user to get a high-level view of the data and understand it well.
Where the product lives — There are a few considerations to make when buying embedded business intelligence software. It may require lots of work by a skilled development team or vendor support staff to embed the business intelligence tool, especially if the data is particularly messy. Some data might not be compatible with different products. Additionally, embedded software still offers self-service qualities that vary in levels of difficulty.
Plan for adoption — At the start, analytics tools may not seem valuable to all employees; end users might struggle to adopt the solutions. Therefore, it’s important for companies to have a plan to encourage and promote user adoption.
Time to market — As with any software implementation, it’s important to think about how long it will take to implement. It’s important to consider related software that a company might need, such as data integration software.
Data security — Don’t make data security an afterthought. Companies must consider security options to ensure the correct users see the correct data. It must also have security options that allow administrators to assign verified users different levels of access to the platform.