What is embedded BI? Traditionally, BI (business intelligence) consisted of a standalone application that was used for the completion of repetitive reporting tasks. This meant that users had to switch from the apps they used for their business to a separate analytics tool when they wanted to analyze their data, which is less efficient and more frustrating for users.
Embedded business intelligence is the integration of tools such as interactive dashboards, predictive analysis, reporting, and data analysis and visualizations into the business applications that users already rely on. Tools and apps that can benefit from embedded BI include CRM (customer relationship management) software, marketing and financial software, and ERP (enterprise resource planning) software.
Embedded BI has higher user adoption than traditional standalone analytics tools because having everything combined into one app is easier for the user and results in greater productivity.
Reasons that application teams may choose to used embedded BI in their applications include:
Qlik Sense is a visual analytics and business intelligence (BI) platform that gives users full control over their system’s data. From this platform they can control every aspect of their system data. It maximizes an organization’s ability to make decisions driven by their data.
Looker is a powerful data analytics platform that empowers businesses to explore and analyze their data in real time.
QlikView is a Business Intelligence tool that allows you to keep tabs on all of your business-related information in a clean, clear, and easy to access database that is intuitive to build and simple to navigate. It is ideal for business owners who wish to improve overall output by creating the most productive system possible.
Zoho Reports is a powerful, easy-to-use and highly scalable cloud-based reporting and business intelligence platform for small to medium-sized businesses. Its flexible pay-as-you-go pricing model and scope for customization allow businesses to tailor it to their unique needs.
TIBCO Jaspersoft is a versatile BI tool used for creating and integrating reports, with added functionality for business intelligence such as ad hoc report writers, online report writers, and dashboard designers. It is used for various purposes such as employee performance, revenue management and billing reports, and IT operational reporting.
ThoughtSpot is a powerful business intelligence tool that allows easy searching and drilling into data. Its ad hoc exploration and query-based search features are highly valued, and it is easy to set up, stable, and scalable.
Dundas BI is a powerful, flexible, end-to-end business intelligence platform that simplifies the entire analytics process and empowers its users to analyze and visualize data. The solution enables organizations to create and view interactive dashboards, reports, scorecards, and more. Dundas BI can be integrated into an existing website as part of a custom BI solution or it can be deployed as the central data portal for your organization. The solution is suitable for mid-to-large sized companies.
WebFOCUS is a strategic enterprise business intelligence (BI) and analytics platform that enables any executive, manager, analyst, employee, partner, or customer to execute smarter business from trusted data. The platform includes cutting-edge capabilities that provide organizations with everything they need to turn data into insight, and insight into impact.
Logi is for application owners who need to build analytic applications. Logi Info offers an analytic development platform that allows you to rapidly build, deploy and maintain analytic applications with analytics at the core that keep your users engaged.
Birst Networked BI and Analytics eliminates information silos. Decentralized users can augment the enterprise data model virtually, as opposed to physically, without compromising data governance.
JReport is a Java-based reporting platform that embeds seamlessly into any application, while delivering reporting, dashboards and analysis via the Web and mobile devices. JReport's intuitive approach to design, deployment and interaction simplifies the work for both developers and users. JReport is in its 13th release cycle and is employed by hundreds of thousands of users at more than 10,000 installations worldwide.
GoodData provides cloud-based big data solutions to companies in any industry. GoodData's platform is a scalable, reliable and secure method of analyzing large data sets. It is specifically useful for companies seeking to gain insights into marketing, sales and customer service performance. GoodData's platform works with any data source and is able to load, store, analyze, visualize and share data sets. This business intelligence (BI) platform is able to access existing data from any source including SaaS, on premise, structured, and unstructured. It allows companies to monitor and manage multiple load processes from its data integration service console. GoodData's big data analysis uses Multidimensional Analytics Query Language (MAQL) and the Extensible Analytics Engine. The combination of these two features results in enhanced multi-level caching, increased performance and the option to include advanced metrics. The platform's data reporting and visualization features are user-friendly, customizable and are cross-platform compatible. GoodData improves collaboration among teams with advanced exporting and sharing capabilities via branded dashboards and offers 24/7 customer support. GoodData's platform has been implemented by many enterprises to improve and optimize services. Switchfly, a company that provides technology solutions aimed at increasing customer engagement, needed a big data platform that was able to efficiently analyze over 60 billion customer impressions made each year. After implementing GoodData's platform, Switchfly was able to provide their clients with relevant insights into customer behavior and accurately measure market impact. GoodData is just one of many SaaS business intelligence products reviewed in our SmartAdvisor; click the link to see more solutions.
Orbit helps companies harness the power of true self-service reporting and analytics. Orbit integrates with ERP and key business applications, providing access to real-time data from all data sources -- empowering business users to efficiently build interactive reports, charts, and dashboards. Easily migrate reports from Oracle Discoverer and other reporting tools, and bring your data to life.
NetSuite SuiteAnalytics provides real-time Saved Searches, Reporting, Key Performance Indicators (KPIs) Dashboard and Workbook features that are built into the NetSuite solution. Real-time transparency into company performance across all business functions from summary level to transaction level.
Panintelligence is a business intelligence and analytics platform which provides businesses with real-time reporting dashboards to inform business decisions. The business intelligence analytics – Pi – is a reporting dashboard with predictive analytics capabilities. It shows data from multiple sources, in real time, to create one view of the truth.
Toucan Toco is a fully cloud-based, end-to-end analytics platform built with one goal in mind: destroy the friction that exists between people and data. The Toucan team has worked from day one to make every experience on the platform simple, fast, and understandable even for complex tasks. As a result, Toucan sees the highest user adoption in the industry at 90%.
Exago is a full-featured BI solution with four distinct report designers that can be enabled in any combination to accommodate end users with different levels of expertise.
User expectations for self-service business intelligence have changed. The users of your application now want to make operational and strategic decisions with real-time data within the application they use every day.
Intellicus is one of the world's leading Business Intelligence and Analytics platform. Easy to use, secure, and scalable, Intellicus is a self-serve BI tool used by more than 60% of Fortune companies to build powerful reports and dashboards with ease. Our interactive web and mobile platforms give users the power to access, view, and interact with corporate data anywhere.
Bold BI is a platform designed from the ground up to be used anywhere. There are no compromises. No shortcuts. Bold BI is the true analytics everywhere platform.
Manage different customers with isolated data model through deploying multiple sites/tenants.
Give your end users the ability to create, edit, view, dashboard, widget and data source in embedded mode.
An analytics pipeline starts with data generation and ends when you have taken action with your data. Traditional BI vendors can’t offer everything in one solution because they were built for visualizations, not action.
Qrvey uses a combination of serverless technology and microservice-based architecture creating an on-demand platform for maximum scalability, security and cost efficiencies.
Break free from the limitations of charts! It's easy to share your data insights with internal or external customers and transform their decision intelligence. Our APIs and SDKs simplify the integration of intelligent search into JavaScript, Java, and Python-based applications.
Enable everyone within the company to generate actionable insights with self-service analytics. Take advantage of a secure, single source of truth of all your data sources in one central place. Develop data-driven workflows and decision making to increase organizational efficiency. Reduce manual tasks to a minimum and get faster & accurate answers to urgent business questions. Enjoy a scalable SaaS BI solution with reliable access from anywhere, every time, from any device.
Course5 Discovery is an AI-powered Augmented Analytics solution that delivers faster, relevant, actionable and humanized insights across multiple consumption mediums and personas to create an insights-first culture that rewards data-driven decision making.
Jigso aggregates and mines all your organization apps and data and then surfaces the information you need to know and the actions you need to take.
It brings together all your apps to one central space, and gives you cues about things that would actually help to get things done.
BI (business intelligence) tools are a type of application software. They collect and process unstructured data from both internal and external systems, including documents, books, journals, files, health records, emails, videos, images, and other business sources. BI tools are not as flexible as business analytics tools, but they allow users to find information from among amassed data, primarily through queries. They also help to prepare data for analysis so that users can create dashboards, reports, and data visualizations. The results of these analyses assist users in accelerating and improving decision-making, increasing operational efficiency, pinpointing new potentials for revenue, identifying market trends and genuine KPIs (key performance indicators), and identifying new business opportunities.
BI tools are generally used for straightforward reporting of business data and querying. They can combine a wide range of data analysis apps, which may include real-time BI, mobile BI, operational BI, open-source BI, cloud/software as a service BI, collaborative BI, enterprise reporting, ad hoc analysis and querying, online analytical processing (OLAP), location intelligence, and data visualization software. BI tools may also include tools for building BI dashboards.
The benefits of embedded business intelligence include:
Consider embedding analytics in your organization’s products and services for the following reasons:
When choosing an embedded BI tool, consider the following criteria:
Embedded business intelligence (BI) tools are software applications that are integrated into other software applications or platforms to provide data analysis and reporting capabilities. These tools enable users to access and analyze data within the context of their daily workflows, without the need to switch between different applications. There are several different types of embedded BI tools available in the market, each with its own unique features and functionalities.
1. Dashboards and Reporting Tools: These tools provide visual representations of data through interactive dashboards and reports. Users can create customized dashboards with charts, graphs, and other visual elements to monitor key performance indicators (KPIs) and track business metrics.
2. Data Visualization Tools: These tools focus on presenting data in a visually appealing and easy-to-understand format. They offer a wide range of visualization options, such as charts, maps, and infographics, to help users gain insights from complex data sets.
3. Self-Service BI Tools: Self-service BI tools empower non-technical users to explore and analyze data on their own, without relying on IT or data analysts. These tools typically have intuitive interfaces and drag-and-drop functionalities, allowing users to create their own reports and visualizations.
4. Embedded Analytics Tools: Embedded analytics tools integrate BI capabilities directly into other software applications, such as CRM or ERP systems. This enables users to access real-time data and perform analysis within the context of their existing workflows, without the need to switch between different applications.
5. Mobile BI Tools: Mobile BI tools enable users to access and analyze data on their mobile devices, such as smartphones and tablets. These tools provide responsive and user-friendly interfaces, allowing users to stay connected and make data-driven decisions on the go.
6. Predictive Analytics Tools: Predictive analytics tools use statistical algorithms and machine learning techniques to analyze historical data and make predictions about future outcomes. These tools help businesses identify trends, patterns, and potential risks, enabling them to make proactive decisions.
7. Data Integration and ETL Tools: Data integration and extract, transform, load (ETL) tools are used to extract data from various sources, transform it into a consistent format, and load it into a data warehouse or BI system. These tools ensure that data is accurate, complete, and up-to-date for analysis.
In conclusion, embedded BI tools come in various forms and serve different purposes. Whether it's providing interactive dashboards, enabling self-service analytics, or integrating BI capabilities into existing applications, these tools empower businesses to make data-driven decisions and gain a competitive edge in today's data-driven world.
Embedded Business Intelligence (BI) tools are software applications that are integrated into other software systems, such as enterprise resource planning (ERP) or customer relationship management (CRM) systems, to provide users with real-time data analysis and reporting capabilities. These tools enable users to make informed decisions based on the data generated by the underlying system. Here is an overview of how embedded BI tools work:
- Integration: Embedded BI tools are seamlessly integrated into the existing software system, allowing users to access BI functionality without switching between different applications. This integration ensures that the BI tool can leverage the data stored in the underlying system and provide real-time insights.
- Data Extraction: Embedded BI tools extract data from the underlying system's databases or data warehouses. They can connect to multiple data sources, including structured and unstructured data, to gather relevant information for analysis.
- Data Transformation: Once the data is extracted, embedded BI tools transform it into a format suitable for analysis. This may involve cleaning and filtering the data, removing duplicates, or aggregating it to a higher level of granularity.
- Data Modeling: Embedded BI tools create data models that define the relationships between different data elements. These models enable users to explore and analyze the data in a structured manner. Data modeling also helps in creating interactive visualizations and dashboards.
- Analysis and Reporting: Embedded BI tools provide a range of analytical capabilities, such as ad-hoc querying, data exploration, and multidimensional analysis. Users can perform complex calculations, apply filters, and drill down into the data to uncover insights. The tools also offer various reporting options, including predefined templates and customizable reports.
- Visualization: Embedded BI tools use visualizations, such as charts, graphs, and maps, to present data in a visually appealing and easily understandable format. Visualizations help users identify patterns, trends, and outliers in the data quickly.
- Collaboration and Sharing: Embedded BI tools enable users to collaborate by sharing reports, dashboards, and insights with others. They can also schedule automated report generation and distribution to ensure that stakeholders receive up-to-date information.
- Security and Governance: Embedded BI tools incorporate security measures to protect sensitive data. They provide role-based access control, data encryption, and audit trails to ensure data integrity and compliance with regulations.
- Scalability: Embedded BI tools are designed to handle large volumes of data and support a growing number of users. They can scale horizontally by adding more servers or vertically by utilizing more powerful hardware resources.
Embedded BI tools empower users to make data-driven decisions by providing them with timely and actionable insights within their existing software systems. They streamline the process of data analysis and reporting, enhancing productivity and driving business growth.
Embedded business intelligence (BI) tools are powerful software solutions that integrate seamlessly into existing applications, providing users with real-time data analysis and reporting capabilities. These tools offer numerous benefits for businesses, enabling them to make data-driven decisions and gain a competitive edge in today's fast-paced market. Here are the key advantages of embedded BI tools:
1. Enhanced decision-making: Embedded BI tools empower users to access and analyze data within their familiar application environment, eliminating the need to switch between different systems. This enables faster decision-making based on real-time insights.
2. Improved productivity: By embedding BI tools directly into existing applications, users can access relevant data and generate reports without the need for additional training or software. This streamlines workflows and increases productivity across the organization.
3. Customizable dashboards: Embedded BI tools allow users to create personalized dashboards tailored to their specific needs. These dashboards can display key performance indicators, metrics, and visualizations, providing a comprehensive overview of business performance at a glance.
4. Real-time data analysis: With embedded BI tools, users can analyze data in real time, enabling them to identify trends, patterns, and anomalies as they occur. This real time analysis facilitates proactive decision-making and helps businesses respond swiftly to changing market conditions.
5. Self-service analytics: Embedded BI tools often offer self-service capabilities, allowing users to explore data and generate reports without relying on IT or data analysts. This empowers business users to access the information they need, when they need it, reducing dependency on IT resources.
6. Increased data accessibility: Embedded BI tools enable users to access data from multiple sources, such as databases, spreadsheets, and cloud applications, within their application environment. This centralized access to data eliminates silos and ensures that users have a holistic view of information.
7. Scalability and flexibility: Embedded BI tools can scale alongside growing business needs, accommodating increasing data volumes and user demands. These tools are highly flexible, allowing businesses to adapt and customize them as requirements evolve.
8. Cost-effective solution: By embedding BI tools into existing applications, businesses can avoid the costs associated with developing and maintaining a separate BI infrastructure. This makes embedded BI a cost-effective solution for organizations of all sizes.
In conclusion, embedded BI tools offer a range of benefits that enhance decision-making, productivity, and data accessibility. By seamlessly integrating into existing applications, these tools empower users to analyze real-time data, create customizable dashboards, and perform self-service analytics. With embedded BI, businesses can leverage data-driven insights to gain a competitive advantage in today's dynamic market.
BI (business intelligence) tools are a type of application software. They collect and process unstructured data from both internal and external systems, including documents, books, journals, files, health records, emails, videos, images, and other business sources. BI tools are not as flexible as business analytics tools, but they allow users to find information from among amassed data, primarily through queries. They also help to prepare data for analysis so that users can create dashboards, reports, and data visualizations. The results of these analyses assist users in accelerating and improving decision-making, increasing operational efficiency, pinpointing new potentials for revenue, identifying market trends and genuine KPIs (key performance indicators), and identifying new business opportunities.
BI tools are generally used for straightforward reporting of business data and querying. They can combine a wide range of data analysis apps, which may include real-time BI, mobile BI, operational BI, open-source BI, cloud/software as a service BI, collaborative BI, enterprise reporting, ad hoc analysis and querying, online analytical processing (OLAP), location intelligence, and data visualization software. BI tools may also include tools for building BI dashboards.
The benefits of embedded business intelligence include:
Consider embedding analytics in your organization’s products and services for the following reasons:
When choosing an embedded BI tool, consider the following criteria:
Embedded business intelligence (BI) tools are software applications that are integrated into other software applications or platforms to provide data analysis and reporting capabilities. These tools enable users to access and analyze data within the context of their daily workflows, without the need to switch between different applications. There are several different types of embedded BI tools available in the market, each with its own unique features and functionalities.
1. Dashboards and Reporting Tools: These tools provide visual representations of data through interactive dashboards and reports. Users can create customized dashboards with charts, graphs, and other visual elements to monitor key performance indicators (KPIs) and track business metrics.
2. Data Visualization Tools: These tools focus on presenting data in a visually appealing and easy-to-understand format. They offer a wide range of visualization options, such as charts, maps, and infographics, to help users gain insights from complex data sets.
3. Self-Service BI Tools: Self-service BI tools empower non-technical users to explore and analyze data on their own, without relying on IT or data analysts. These tools typically have intuitive interfaces and drag-and-drop functionalities, allowing users to create their own reports and visualizations.
4. Embedded Analytics Tools: Embedded analytics tools integrate BI capabilities directly into other software applications, such as CRM or ERP systems. This enables users to access real-time data and perform analysis within the context of their existing workflows, without the need to switch between different applications.
5. Mobile BI Tools: Mobile BI tools enable users to access and analyze data on their mobile devices, such as smartphones and tablets. These tools provide responsive and user-friendly interfaces, allowing users to stay connected and make data-driven decisions on the go.
6. Predictive Analytics Tools: Predictive analytics tools use statistical algorithms and machine learning techniques to analyze historical data and make predictions about future outcomes. These tools help businesses identify trends, patterns, and potential risks, enabling them to make proactive decisions.
7. Data Integration and ETL Tools: Data integration and extract, transform, load (ETL) tools are used to extract data from various sources, transform it into a consistent format, and load it into a data warehouse or BI system. These tools ensure that data is accurate, complete, and up-to-date for analysis.
In conclusion, embedded BI tools come in various forms and serve different purposes. Whether it's providing interactive dashboards, enabling self-service analytics, or integrating BI capabilities into existing applications, these tools empower businesses to make data-driven decisions and gain a competitive edge in today's data-driven world.
Embedded Business Intelligence (BI) tools are software applications that are integrated into other software systems, such as enterprise resource planning (ERP) or customer relationship management (CRM) systems, to provide users with real-time data analysis and reporting capabilities. These tools enable users to make informed decisions based on the data generated by the underlying system. Here is an overview of how embedded BI tools work:
- Integration: Embedded BI tools are seamlessly integrated into the existing software system, allowing users to access BI functionality without switching between different applications. This integration ensures that the BI tool can leverage the data stored in the underlying system and provide real-time insights.
- Data Extraction: Embedded BI tools extract data from the underlying system's databases or data warehouses. They can connect to multiple data sources, including structured and unstructured data, to gather relevant information for analysis.
- Data Transformation: Once the data is extracted, embedded BI tools transform it into a format suitable for analysis. This may involve cleaning and filtering the data, removing duplicates, or aggregating it to a higher level of granularity.
- Data Modeling: Embedded BI tools create data models that define the relationships between different data elements. These models enable users to explore and analyze the data in a structured manner. Data modeling also helps in creating interactive visualizations and dashboards.
- Analysis and Reporting: Embedded BI tools provide a range of analytical capabilities, such as ad-hoc querying, data exploration, and multidimensional analysis. Users can perform complex calculations, apply filters, and drill down into the data to uncover insights. The tools also offer various reporting options, including predefined templates and customizable reports.
- Visualization: Embedded BI tools use visualizations, such as charts, graphs, and maps, to present data in a visually appealing and easily understandable format. Visualizations help users identify patterns, trends, and outliers in the data quickly.
- Collaboration and Sharing: Embedded BI tools enable users to collaborate by sharing reports, dashboards, and insights with others. They can also schedule automated report generation and distribution to ensure that stakeholders receive up-to-date information.
- Security and Governance: Embedded BI tools incorporate security measures to protect sensitive data. They provide role-based access control, data encryption, and audit trails to ensure data integrity and compliance with regulations.
- Scalability: Embedded BI tools are designed to handle large volumes of data and support a growing number of users. They can scale horizontally by adding more servers or vertically by utilizing more powerful hardware resources.
Embedded BI tools empower users to make data-driven decisions by providing them with timely and actionable insights within their existing software systems. They streamline the process of data analysis and reporting, enhancing productivity and driving business growth.
Embedded business intelligence (BI) tools are powerful software solutions that integrate seamlessly into existing applications, providing users with real-time data analysis and reporting capabilities. These tools offer numerous benefits for businesses, enabling them to make data-driven decisions and gain a competitive edge in today's fast-paced market. Here are the key advantages of embedded BI tools:
1. Enhanced decision-making: Embedded BI tools empower users to access and analyze data within their familiar application environment, eliminating the need to switch between different systems. This enables faster decision-making based on real-time insights.
2. Improved productivity: By embedding BI tools directly into existing applications, users can access relevant data and generate reports without the need for additional training or software. This streamlines workflows and increases productivity across the organization.
3. Customizable dashboards: Embedded BI tools allow users to create personalized dashboards tailored to their specific needs. These dashboards can display key performance indicators, metrics, and visualizations, providing a comprehensive overview of business performance at a glance.
4. Real-time data analysis: With embedded BI tools, users can analyze data in real time, enabling them to identify trends, patterns, and anomalies as they occur. This real time analysis facilitates proactive decision-making and helps businesses respond swiftly to changing market conditions.
5. Self-service analytics: Embedded BI tools often offer self-service capabilities, allowing users to explore data and generate reports without relying on IT or data analysts. This empowers business users to access the information they need, when they need it, reducing dependency on IT resources.
6. Increased data accessibility: Embedded BI tools enable users to access data from multiple sources, such as databases, spreadsheets, and cloud applications, within their application environment. This centralized access to data eliminates silos and ensures that users have a holistic view of information.
7. Scalability and flexibility: Embedded BI tools can scale alongside growing business needs, accommodating increasing data volumes and user demands. These tools are highly flexible, allowing businesses to adapt and customize them as requirements evolve.
8. Cost-effective solution: By embedding BI tools into existing applications, businesses can avoid the costs associated with developing and maintaining a separate BI infrastructure. This makes embedded BI a cost-effective solution for organizations of all sizes.
In conclusion, embedded BI tools offer a range of benefits that enhance decision-making, productivity, and data accessibility. By seamlessly integrating into existing applications, these tools empower users to analyze real-time data, create customizable dashboards, and perform self-service analytics. With embedded BI, businesses can leverage data-driven insights to gain a competitive advantage in today's dynamic market.
