Top 20 Embedded Business Intelligence Software in 2025

Business intelligence (BI) has become an integral part of modern organizations as they strive to make data-driven decisions. 

Did you know in 2021, the global market for business intelligence had a value of $24.05 billion, up from $8.8 billion in the previous year?

Embedding BI within business applications has become increasingly popular as it provides real-time data insights and analytics capabilities to business users without having to switch between multiple tools and systems. 

It is fact that businesses that use business intelligence are five times more likely, than those that do not, to make choices more quickly.

With the raising popularity of embedded business intelligence software, the confusion around which software to use has also risen. 

Now, let’s get started!

Read more: The 8 best automated report builder tools

What Is Embedded Business Intelligence Software?

Embedded business intelligence (BI) software is a type of software that integrates data analysis and reporting capabilities into an existing application or business process. 

The main goal of embedded BI is to make it easier for business users to access and analyze important data within the context of their daily work, without having to leave the application they are using. 

Fun Fact: The adoption rate of business intelligence globally is 26%.

This allows organizations to make more informed decisions, respond more quickly to changes in their business environment, and improve overall operational efficiency. 

Read more: The best Microsoft report builder alternatives

Embedded BI Software Features

Embedded business intelligence software typically includes a range of features designed to support the analysis, visualization, and reporting of data. 

Some common features of embedded BI software include:

Data Connectivity: 

The ability to connect to a wide range of data sources, including databases, spreadsheets, cloud applications, and other data sources.

Data Visualization: 

The ability to create interactive and dynamic visualizations that make it easier to explore and understand data.

Custom Business Dashboards: 

A collection of visualizations and reports that provide real-time insights into key performance indicators and metrics. 

These custom business dashboards can be tailored to every business needs to focus especially on the metrics that concern them the most.

Reports:

The ability to create and publish reports that are based on data and can be easily shared and distributed.

Self-Service Analytics: 

Tools and features that allow business users to explore data, create reports, and generate insights without the need for IT support.

Collaboration And Sharing: 

The ability to share and collaborate on data insights and reports with others within the organization.

Mobile Support: 

The ability to access and work with data on mobile devices, such as smartphones and tablets.

Security: 

Features to ensure that data is secure, including access control, data privacy, and data governance.

Integration: 

The ability to integrate with other software and tools, such as customer relationship management (CRM) and enterprise resource planning (ERP) systems.

Whitelabelling:

The ability to provide the client’s customers with a seamless, integrated experience that makes it seem like the BI software was developed by the client themselves. 

It allows for customization of the user interface, navigation, and branding elements, providing a unique and cohesive look and feel for the embedded BI software.

Why Is Embedded BI Important?

On average, businesses utilize 3.8 distinct business intelligence technologies.

Embedded business intelligence is important because it provides several benefits to organizations, including:

1. Improved Decision-Making: 

By integrating BI capabilities directly into business applications, embedded BI makes it easier for business users to access and analyze the data they need to make informed decisions. 

This can help organizations make better decisions, respond more quickly to changes in their business environment, and improve overall operational efficiency.

2. Increased User Adoption: 

Embedding BI capabilities directly into business applications makes them more accessible and easier to use for business users. 

This can lead to increased user adoption, as more people can access and use the information they need to do their jobs effectively.

3. Enhanced User Experience: 

Embedding BI capabilities directly into business applications can provide a more seamless user experience, as business users do not have to leave the application they are using to access data and insights.

4. Better Data Accessibility: 

Embedding BI capabilities directly into business applications makes it easier for business users to access the data they need to do their jobs, regardless of where the data resides. 

This can help organizations improve data accessibility and reduce the time it takes to access the information they need to make informed decisions.

5. Increased ROI: 

By making it easier for business users to access and analyze data, embedded BI can help organizations increase the return on investment (ROI) they receive from their BI initiatives. 

This can lead to improved operational efficiency and better decision-making, which can drive business growth and improve overall performance.

Top 20 Embedded Business Intelligence Software in 2025

Below we have compiled a list of the best embedded business intelligence softwares in the market currently. 

Each of these will mention its features and pricing to help you make the right decision.

However, if you’re looking for a free business analytics software, we suggest you keep reading this. 

1. Dotnet Report 

Dotnet Report (DNR) offers a robust setup process that makes it easy for users to get started quickly, without needing extensive technical knowledge.

It can help you save time and money on developing analytics modules for your business. Instead, with its advanced technology, it can directly provide you with the functionality that you have been searching for.

Benefits Of Embedding BI With Dotnet Report

There is a multitude of benefits to using DNR but we’ll just go with the top three.

Key Features

• Drag-And-Drop: Dotnet Report offers a drag-and-drop interface that enables users to access information at the click of a mouse without needing any specialized understanding of what goes on behind closed doors in IT systems.
• Whitelabelling: Your company’s branding, logos, or other distinguishing aspects can be incorporated into DotNetReport’s analytics interface to create a more streamlined or completely branded design, depending on your preferences.
• Plug-In Dashboards: You may have a beautiful and intuitive user experience with DotNetReport dashboards that will captivate your users.
• Self-Service Analytics: Our technology enables them to provide ad hoc reports and relieve your development team’s reporting effort, making everything operate more smoothly for everyone.
• Integration: Dotnet Report provides a straightforward API that can be used to integrate reports, charts, and dashboards right into your software’s workflow. End users find it simpler because they can now analyze data in real-time without needing any programming experience!

Pricing

You can enjoy higher productivity and contented teams and employees with cost-effective automation for scaling to thousands of distinct user groups. Also, it offers a free trial so you can get the full experience before making the purchase!

While Microsoft Power BI offers a comprehensive suite of features, organizations may explore other power bi embedded alternatives that align more closely with their specific needs or integration requirements.

Suggested: 5 DNR Features That Make It Perfect For Creating Sales Dashboard

2. Microsoft Power BI

Power BI is a cloud-based data visualization and business intelligence tool developed by Microsoft. It provides interactive dashboards, reports, and data visualization features that allow users to access and analyze data from various sources. 

Power BI offers seamless integration with other Microsoft products such as Azure, Office 365, and Dynamics 365.

Key Features

• All-In-One Analytics: On a single platform, satisfy your needs for both self-service and enterprise data analytics. Access strong semantic models, a toolkit for application lifecycle management (ALM), a framework for open connectivity, and paginated reports with fixed layout and exact pixel placement.
• Richer Insights: By connecting, combining, and analyzing your whole data estate with Power BI and Azure, you can use your data as a competitive advantage.
• Quick Solutions: Utilize the most recent developments in Microsoft AI to assist non-data scientists in data preparation, machine learning model building, and the speedy discovery of insights from both structured and unstructured data, including images and text.

Pricing

There are two price plans:

• Power BI Pro:
  You can get individual user licenses for cutting-edge, self-service analytics so they may share insights throughout your organization and visualize data using real-time dashboards and reports. This is available at $13.70 per user/month.
• Power BI Premium:
  This has two categories:
  
  Per User: You can enable self-service data preparation for big data, expedite access to insights with advanced AI, and streamline data administration and access at the enterprise scale by purchasing licenses.
  
  Per Capacity: You can enable your company with the ability to apply advanced AI to speed up access to insights, enable self-service big data preparation, and simplify data management and access at an enterprise scale. All of this can be accomplished without requiring individual user licenses from content consumers.

3. Qlik Sense

Qlik Sense is a data discovery and data visualization platform that provides a self-service BI experience. It enables users to quickly create and share data visualizations, dashboards, and reports with others in their organization. 

With its powerful associative engine, Qlik Sense provides insights that go beyond traditional BI tools.

Key Features

• Visualizations & Dashboards: Qlik Sense provides a range of visualization options including charts, graphs, maps, and more to help you effectively display and analyze your data. Additionally, it also provides intuitive dashboard-building capabilities that make it easy to create and share custom dashboards.
• Powerful AI: It uses AI algorithms to help you quickly identify patterns and relationships in your data, providing powerful insights that might otherwise be difficult to uncover.
• Active Analytics: Qlik Sense allows for real-time data analysis, enabling users to quickly identify trends and make decisions based on up-to-date information.
• Hybrid Cloud Platform: It offers a hybrid cloud platform that provides the scalability, security, and flexibility that businesses need. This allows organizations to analyze data from a range of sources, whether they are on-premises or in the cloud.

Pricing

Qlik’s pricing can be divided into two categories: data analysis and data integration. 

Data Analysis

Under Data Analysis, there are two subcategories: Qlik-hosted or Client-Managed. 

• For the former, there are two packages: 

1. Qlik Sense Business is for people who are looking for a cloud solution to operationalize analytics across their different groups and teams.

It offers best-in-class modern analytics, associative engine, augmented analytics, and group collaboration.

This has a free trial so you can explore this option before making the final decision. If you decide to buy it, it will cost you $30/user/month. It will be billed annually, so you will have to pay a total of $360. 

2. Qlik Sense Enterprise SaaS is for people who are looking for a cloud solution to grow and extend analytics across different departments and organizations.

It offers best-in-class modern analytics, associative engine, augmented analytics & AutoML, enterprise governance, increased capacity, and multiple user types.

Its pricing may vary depending on your needs and business type so you should check out their website

• For the latter, there is only one package.

Qlik Sense Enterprise Client-Managed is for people who require a solution to expand analytics scale across different departments and organizations, managed by them.

It offers best-in-class modern analytics, associative engine, augmented analytics & AutoML, enterprise governance, Windows® server deployment, and multiple user types.

Again, its pricing may vary depending on your needs, the number of departments/organizations, and business type.

Data Integration

For people looking for a data integration cloud-based solution that monitors real-time data movement and transformation and integrates it successfully, this pricing plan is for you. 

In this package, you get real-time change data capture, push-down transformations, automated data mart creation, universal connectivity, and enterprise-class scale and security.

The final quote may differ based on your business needs, so visit their website and ask for a quote.

4. Looker

Looker is a cloud-based data analytics platform that provides advanced data exploration and visualization capabilities. 

It allows businesses to connect to any data source, explore and analyze data, and share insights with others. 

With Looker, organizations can embed insights into their applications, websites, and other digital products.

Features:

• Drag-And-Drop

Drag-and-drop functionality is provided to users of all skill levels through Looker’s robust explore the area. 

This encourages everyone to think creatively and ask questions that go beyond pre-made dashboards and reports.

• Efficient

Using Looker BlocksTM, get your team up and running quickly. 

Customers may simply add analytics for well-known SaaS solutions from the Looker Marketplace and incorporate other data sources into Looker.

• Multiple Integration

Utilize pre-packaged connectors with the leading SaaS applications to make dashboards and reports actionable. 

Send data to applications like Slack, Dropbox, Marketo, and Segment to start workflows; utilize our API and webhooks to send data to other applications as well.

• Notifications

Be informed about problems before they arise. Set up alerts for orders that were fraudulently placed and sales that were dropped. 

Set up reports to keep you updated on company performance.

Pricing

Looker has a variety of pricing plans that are designed to meet the needs of the business. It also supports nonprofit organizations and educators so try your luck with them! 

5. Tableau

Tableau is a popular data visualization and business intelligence tool that provides powerful data analysis and visualization capabilities. 

It enables organizations to easily connect to data from various sources, create interactive dashboards and reports, and share insights with others.

Features:

• Flexible

Utilize your current technological investments and expand with Tableau as the data landscape changes. 

They provide alternatives for connecting to all of your data, regardless of where it is located, and for deploying analytics.

• Full Governance

Even when extending analytics throughout your organization, Tableau gives you enterprise-grade security and governance models to always keep you in control of the data. 

Additionally, management is straightforward and effective, enabling IT to concentrate on what matters most.

• Extensible

Global companies use Tableau for the entire cycle of self-service analytics, from preparation to analysis to sharing, with governance and data management at every stage.

Pricing

All of the pricing plans mentioned below are billed annually.

• Tableau Creator is for analysts that connect data, build vizzes, and publish dashboards for $70/user/month .
• Tableau Explore is for business users that allows them to edit existing vizzes for $42/user/month.
• Tableau Viewer is for executives that allows them to access existing dashboards for $15/user/month.

Bonus: Free Business Analysis Software/Tools Recommendations

1. Zoho Reports
2. BIRT
3. ClicData
4. The Elk Stack

6. Domo

Domo is a cloud-based embedded business intelligence platform designed for organizations that require real-time data analytics and seamless integration into their existing workflows. Its user-friendly interface allows non-technical users to create interactive dashboards and reports with a drag-and-drop interface. Domo is highly scalable, making it suitable for small businesses and large enterprises alike. The platform supports multi-tenant deployment, enabling businesses to provide custom analytics solutions to different users.

Key Features:

• Embedded Analytics & White-Labeling: Businesses can fully customize the UI, dashboards, and reports to match their branding.
• AI & Machine Learning Insights: Uses AI-powered analytics to identify trends, detect anomalies, and suggest improvements.
• Real-Time Data Connectivity: Integrates with over 1,000 data sources, including databases, cloud storage, and SaaS applications.
• Multi-Tenant Deployment: Enables organizations to manage multiple users and clients with varying levels of data access.

7. Dundas BI

Dundas BI is a flexible and highly customizable embedded BI solution that allows businesses to create interactive dashboards, reports, and visualizations. It is designed for companies looking for deeply integrated analytics with white-labeling options. With its self-service BI capabilities, Dundas BI enables users to analyze data without needing IT intervention, making it ideal for businesses that need real-time decision-making tools.

Key Features:

• White-Labeling & Custom UI: Businesses can fully customize the analytics interface to align with their branding.
• Advanced Data Visualization: Provides heatmaps, geospatial mapping, and dynamic reporting for in-depth insights.
• Predictive Analytics & AI: Uses machine learning to forecast trends and provide recommendations for data-driven decision-making.
• Self-Service Business Intelligence: Users can explore data, create reports, and perform ad hoc analysis without technical expertise.

8. Pentaho Platform (Hitachi Vantara)

Pentaho is an enterprise-grade open-source BI platform that offers ETL (Extract, Transform, Load), data integration, and predictive analytics capabilities. It is widely used for big data processing and provides businesses with AI-powered analytics and self-service reporting tools. With its seamless integration into existing applications, Pentaho is a great choice for businesses needing scalable and customizable BI solutions.

Key Features:

• Advanced Data Integration & ETL: Supports data blending, big data analytics, and real-time data transformation.
• AI-Driven Predictive Analytics: Uses machine learning to automate insights, detect patterns, and optimize decision-making.
• Customizable Embedded Reporting: Businesses can embed real-time reports and dashboards into their existing applications.
• Interactive Data Visualization: Provides an extensive library of charts, graphs, and drill-down reports.

9. GoodData

GoodData is a cloud-native embedded business intelligence software known for its real-time analytics, interactive dashboards, and multi-tenant capabilities. It allows organizations to seamlessly embed analytics into their business applications, ensuring that users can access critical insights without switching between multiple platforms.

Key Features:

• Customizable Embedded BI: Offers API-driven integration for scalable analytics within enterprise applications.
• Role-Based Access & Security: Ensures data governance and compliance by restricting access based on user roles.
• AI-Powered Analytics & Insights: Uses machine learning algorithms to detect trends and generate recommendations.
• Multi-Tenant Architecture: Supports multiple clients, departments, or users with tailored analytics experiences.

10. Cognos Analytics (IBM)

IBM Cognos Analytics is a powerful AI-driven BI tool that provides interactive data visualizations, natural language querying, and advanced reporting capabilities. It is designed for enterprises that need secure and scalable BI solutions with deep customization options.

Key Features:

• AI-Assisted Data Exploration: Users can ask natural language queries and receive instant insights.
• Embedded BI & Custom Dashboards: Businesses can integrate interactive reports into their workflows.
• Multi-Tenant Deployment: Supports multiple user groups with customizable access controls.
• Enterprise-Grade Security & Governance: Ensures data compliance and role-based user permissions.

11. Logi Analytics (Logi Platform)

Logi Analytics is a developer-focused embedded BI platform designed for businesses that want to integrate advanced analytics capabilities directly into their applications. It is known for its low-code integration and highly flexible customization options.

Key Features:

• Low-Code BI Integration: Enables businesses to embed reports and dashboards with minimal coding effort.
• White-Labeling & Custom APIs: Allows full customization of the analytics interface to match business branding.
• Multi-Tenant Support: Provides tailored analytics experiences for different users and clients.
• Scalability & Performance Optimization: Designed to handle large datasets with high-speed processing.

12. Oracle Analytics Cloud

Oracle Analytics Cloud (OAC) is a comprehensive embedded BI platform that provides AI-driven analytics, real-time data processing, and advanced predictive modeling. Designed for enterprise-scale business intelligence, OAC integrates seamlessly with Oracle Cloud Infrastructure (OCI), on-premise databases, and third-party applications. With its self-service BI capabilities, users can analyze and visualize data without extensive IT support, making it a powerful solution for large organizations and multi-tenant deployments.

Key Features:

• AI-Driven Data Insights: Uses machine learning and natural language processing (NLP) to generate actionable insights and predictive analytics.
• Embedded Analytics & Custom Dashboards: Allows businesses to integrate interactive reports into their applications and workflows.
• Self-Service Data Visualization: Features a drag-and-drop interface for users to create custom reports and data visualizations.
• Extensive Data Source Connectivity: Supports integration with Oracle databases, cloud storage, third-party BI platforms, and on-premise systems.

13. Sisense

Sisense is a powerful AI-driven embedded BI tool that specializes in self-service data visualization and real-time analytics. It is designed to simplify complex data analysis through AI-powered automation.

Key Features:

• Drag-and-Drop Data Modeling: Enables users to create and customize reports effortlessly.
• AI-Driven BI & Predictive Analytics: Uses machine learning to automate insights and recommendations.
• Multi-Tenant Architecture: Supports multiple users, roles, and custom analytics experiences.
• Embedded White-Label Analytics: Allows businesses to integrate customized reports into their platforms.

14. Tableau

Tableau is a leading embedded BI software known for its interactive dashboards, AI-powered analytics, and deep integration with multiple platforms. It is ideal for companies looking for self-service analytics and real-time data visualizations.

Key Features:

• Customizable Embedded Analytics: Businesses can white-label and integrate Tableau dashboards into their applications.
• AI-Enhanced Insights & Forecasting: Uses machine learning to identify patterns and detect anomalies.
• Drag-and-Drop Report Creation: Allows non-technical users to create reports with ease.
• Cloud & On-Premise Deployment: Offers flexible hosting options for businesses.

15. ThoughtSpot

ThoughtSpot is an AI-powered embedded BI tool that provides businesses with real-time insights using search-driven analytics. It allows users to ask questions in natural language and get instant, AI-generated insights. ThoughtSpot is designed for companies that need self-service analytics and interactive data exploration, making it ideal for organizations that require scalable and user-friendly BI solutions.

Key Features:

• AI-Driven Search & Analytics: Users can query data using natural language processing (NLP) to receive instant insights.
• Embedded & White-Labeled BI: Businesses can integrate customizable dashboards into their applications.
• Real-Time Data Exploration: Provides ad hoc reporting and self-service data discovery for decision-making.
• Scalable Multi-Tenant Architecture: Supports multiple user roles with custom access controls.

16. TIBCO Jaspersoft

TIBCO Jaspersoft is a developer-friendly embedded BI software that enables businesses to embed interactive reports, dashboards, and analytics into their applications. Known for its open-source flexibility, Jaspersoft allows organizations to create custom, white-labeled BI solutions that cater to their specific needs.

Key Features:

• Customizable Embedded Analytics: Allows seamless integration of interactive dashboards and reports into business applications.
• Multi-Tenant BI Solutions: Supports role-based access for custom analytics experiences.
• Ad Hoc Reporting & Self-Service BI: Enables non-technical users to generate real-time reports without IT assistance.
• Extensive Data Source Connectivity: Works with SQL databases, cloud applications, and big data platforms.

17. Toucan Toco

Toucan Toco is a mobile-first embedded BI tool designed for businesses that need intuitive, real-time analytics. Unlike traditional BI platforms, Toucan Toco focuses on simplified data storytelling, making it easy for users to interpret and act on insights without technical expertise.

Key Features:

• No-Code & Low-Code BI: Enables businesses to embed analytics without complex development.
• Data Storytelling & Guided Analytics: Uses interactive visualizations and AI-powered insights for better decision-making.
• Mobile-Optimized BI: Provides responsive dashboards that work seamlessly on smartphones and tablets.
• Seamless Integration with Business Applications: Works with CRM, ERP, and other enterprise software.

18. Yellowfin Suite

Yellowfin Suite is an end-to-end embedded BI platform that combines AI-powered insights, data discovery, and automation. It is widely recognized for its self-service analytics and intuitive user interface, making it easy for businesses to provide real-time data analysis to their users.

Key Features:

• Embedded Analytics & Dashboards: Enables businesses to create custom, interactive reports within their applications.
• AI-Driven Automated Insights: Uses machine learning to detect anomalies, trends, and correlations in data.
• Self-Service BI & Data Discovery: Allows users to explore, visualize, and report data without IT dependency.
• Collaboration & Sharing: Users can share insights via storyboards, discussion threads, and scheduled reporting.

19. Zoho Analytics

Zoho Analytics is a cost-effective embedded BI software designed for small and medium-sized businesses looking for self-service analytics and real-time reporting. It provides drag-and-drop data visualization, AI-powered insights, and deep integration with Zoho’s ecosystem and other third-party applications.

Key Features:

• Drag-and-Drop Report Builder: Simplifies data visualization and dashboard creation.
• AI-Powered Data Analysis: Uses natural language processing and machine learning for predictive analytics.
• Embedded Analytics & API Integration: Businesses can embed reports and dashboards into their software.
• Extensive Data Source Compatibility: Connects with databases, cloud services, and third-party applications.

20. Pi

Pi by Panintelligence is a secure and scalable embedded business intelligence software designed for real-time data visualization, reporting, and predictive analytics. It is specifically built to help businesses embed analytics seamlessly into their applications, allowing users to access interactive dashboards and reports without leaving their workflow. Pi is known for its low-code, highly customizable architecture, making it an ideal solution for SaaS providers and enterprises that need multi-tenant analytics solutions with advanced security and governance.

Key Features:

• Seamless Embedded Analytics: Enables businesses to embed customizable dashboards and real-time reports directly into their applications.
• AI-Powered Predictive Analytics: Uses machine learning algorithms to analyze trends and provide data-driven forecasts.
• Low-Code & Developer-Friendly Integration: Allows for quick and easy embedding with minimal coding required.
• Advanced Security & Compliance: Features role-based access controls, data encryption, and GDPR-compliant data handling.

5 Techniques For Business Analysis

Since we have considered the embedded BI softwares, it is only fair that we take a look at some tools and techniques for business analysis that can further help businessmen to get the analytics they want to see.

There are several tools and techniques that can be used for business analysis, including:

1. SWOT Analysis: 

SWOT Analysis is a tool that helps businesses identify their Strengths, Weaknesses, Opportunities, and Threats. 

It provides a comprehensive overview of the company’s internal and external environment and helps businesses develop a strategy to address the challenges they face.

2. Value Chain Analysis: 

Value Chain Analysis is a tool that helps businesses understand the value they create through their operations and the different activities they perform to deliver that value to their customers. 

It provides a framework for analyzing a company’s activities and determining where improvements can be made to increase efficiency and competitiveness.

3. Cost-Benefit Analysis: 

Cost-Benefit Analysis is a tool that helps businesses determine whether a proposed project or investment is financially viable. 

It provides a framework for evaluating the costs and benefits of a project and making informed decisions about whether to proceed.

4. Gap Analysis: 

Gap Analysis is a tool that helps businesses determine the difference between their current performance and the performance they aspire to. 

It provides a framework for identifying the gap between where a business is and where it wants to be, and for developing a plan to close that gap.

5. Root Cause Analysis: 

Root Cause Analysis is a tool that helps businesses identify the underlying causes of a problem. 

It provides a framework for investigating the root cause of a problem, determining why it occurred, and developing a solution to prevent it from happening again.

Who Uses Embedded Business Intelligence Software?

Embedded business intelligence software is used by organizations of all sizes, from small businesses to large enterprises, across a variety of industries. 

It is especially popular among companies that need to make data-driven decisions and want to embed data insights directly into their business processes, applications, and workflows. 

People who use embedded business intelligence software typically hold positions such as:

1. Business Analysts
2. Data Analysts
3. Data Scientists
4. BI Developers
5. IT Managers
6. Report Developers
7. Project Managers
8. Data Engineers
9. Business Intelligence Managers
10. Line-Of-Business Users (sales managers or marketing professionals)

These roles require the ability to work with data and analytics tools, and the use of embedded BI software is becoming increasingly common as organizations seek to make data-driven decisions. 

These tools can be used by individuals in these roles to extract insights from data and embed them into their business processes, applications, and workflows.

Conclusion

In conclusion, embedded BI is an important aspect of modern business operations as it provides organizations with the ability to make data-driven decisions in real-time. 

The top 5 embedded analytics tools of 2024 include DotNetReport, Microsoft Power BI, Qlik Sense, Looker, and Tableau. 

These solutions offer a range of features and capabilities that allow organizations to effectively analyze and interpret their data within their business applications.

FAQs

What are 5 embedded systems?

These are some instances of independent embedded systems:

1. Digital cameras.
2. Digital wristwatches.
3. MP3 players.
4. Appliances, such as refrigerators, washing machines, and microwave ovens.
5. Temperature measurement systems.

What is embedded analytics, and how does it differ from traditional analytics solutions?

Embedded analytics refers to the integration of analytics capabilities directly into other applications or systems that businesses use. 

This means that users can access data insights within the context of their daily workflows, rather than having to switch between different software applications. 

Unlike traditional analytics solutions, embedded analytics provides a seamless and intuitive user experience that enables faster and more informed decision-making.

What is MicroStrategy?

MicroStrategy is an enterprise BI application software vendor. Numerous elements on its main platform are intended to support businesses in making data-driven choices and streamlining operational procedures.

Is Python used in embedded systems?

Python can be utilized with hardware that is embedded, small, or minimal, depending on how limited the hardware is.