An embedded analytics tool is a feature that brings data analysis and visualizations into the apps you already use.
Instead of switching to a separate platform, you can view insights, reports, and dashboards directly within your regular software, making it easier to make data-driven decisions without any extra steps.
These tools help you make informed decisions without switching between multiple platforms.
Whether you’re looking to create custom dashboards, track real-time data, or dive deep into interactive reports, the right embedded analytics tool can transform the way you work.
In this blog, we’ll explore the best embedded analytics tools that are leading the charge in simplifying data-driven decision-making for businesses of all sizes.
Key Features of Embedded Analytics Tools
1. Integrated Data Access
The embedded analytics tool can easily integrate with all your data sources to allow access to real-time, updated data within your existing systems to present a unified view for the users.
2. Customizable Dashboards & Reports
These tools allow flexible, customizable dashboards and reports that are suitable for specific business needs and branding, making the insights of data more relevant and actionable.
3. Interactive Visualizations
Interactive features such as drill-downs, filters, and dynamic charts allow the user to interact with the data in a more intuitive way, enabling them to discover deeper insights.
4. Real-Time Data Processing
Real-time updates enable users to make timely decisions based on the most current data, which is critical for businesses that need to respond quickly to changes or trends.
5. Self-Service Analytics
Self-service analytics tools empower non-technical users to develop their reports and insights, reducing dependence on IT teams and accelerating decision speed.
6. Mobile Accessibility
Cloud-based, mobile-friendly platforms allow users to access data and insights anywhere, anytime, so critical information is always within reach.
7. Advanced Analytics & Predictive Insights
These tools, with built-in predictive analytics and machine learning, help businesses predict trends and behaviors, thus allowing proactive decision-making and risk management.
8. Security & Compliance
The robust security features, including encryption, role-based access, and compliance with industry regulations such as GDPR, ensure data privacy and protection at all levels of the analytics process.
Breaking Down Embedded Analytics Tools
If you’re curious about how embedded analytics solutions make your data come alive inside your apps, here’s the scoop:
1. Plan First
First things first: figure out why you want embedded analytics. Is it to make smarter decisions, help your team work better, or wow your customers with cool insights? Also, get a handle on what kind of data and reports your users will need.
2. Collect and Clean the Data
Now, hook up the tool to your data sources. This can be your databases, APIs, or even cloud services. Now, clean up that data and get it ready for action. Think of it as tidying up your workspace before starting a project!
3. Build It In
Now, it’s time to add those analytics. Just use APIs or plugins in your app to drop dashboards, charts, or reports inside your app. Many make this very easy for you-you can even add such features as filters or drag-drop widgets so that users can manipulate and play around with that stuff.
4. Make It Yours
Customize the analytics to mirror your app’s appearance. Brand it with your logo and colors, ensure it matches the rest of the application nicely, and make everything flow without a hitch. Implement access controls so only relevant features are visible.
5. Launch and Test
Plug it into your system when ready. Whether working in the cloud or on your local setup, give it a good test run. Ensure it works well and feels snappy across different devices and platforms.
6. Help Users Get Comfortable
Analytics only make sense if people use them. Provide tutorials or guides on how to use them to discover the insights you want. The easier you make it, the more they will love it.
7. Keep an Eye on Things
Once it’s up and running, track how it’s performing. Is it fast? Are people using it? If something feels off, tweak it. Tools like usage analytics can show you what’s working and what’s not.
8. Stay Secure
Don’t forget about security. Protect sensitive data with things like encryption or two-factor authentication. Also, make sure you’re playing by the rules when it comes to privacy laws like GDPR or HIPAA.
9. Listen and Improve
Lastly, ask them for feedback! What do users love? What is missing? Use that input to make it even better over time. Dashboards and features grow along with your business needs.
List of 10 Best Embedded Analytics Tools
1. Looker
Looker is an embedded analytics tool that provides users with complete control over their data exploration.
With its flexible simulation layer, users can slice, dice, and filter data in any way they wish, allowing for real-time, in-depth analysis.
Advanced users can take things a step further by utilizing Looker’s built-in data modeling language (LookML) and git integration to extend SQL-based analysis and enhance the overall functionality.
For less technical team members, Looker offers an intuitive experience with its drag-and-drop dashboard and data visualization tools. Pre-built visualization formats, such as heatmaps, make it easy to generate real-time insights and collaborate effectively within teams.
Whether you’re a data expert or a casual user, Looker provides a versatile platform for anyone looking to make data-driven decisions.
Features:
- Flexible Data Exploration
- Advanced-Data Modeling with LookML
- Real-Time Data Analysis
- Drag-and-Drop Dashboards
- Pre-Built Visualizations
- Collaboration Features
- Git Integration for Enhanced Analysis
- Custom Filtration and Trenching
Pricing: Customized pricing that falls in the range of $3,000–$5,000 range per month for ten users.
Website: https://lookerstudio.google.com/navigation/reporting
2. Reveal
Reveal is an embedded analytics platform and standalone business intelligence (BI) solution designed to make data analysis accessible to everyone, regardless of technical expertise.
It allows users to create, view, and share rich data visualizations and dashboards with ease, making it a great choice for businesses looking to make smarter, data-driven decisions.
This focus on the end-user experience allows users who are not even technical users to run machine learning and predictive analysis models with minimal clicks.
Developers can leverage Reveal to improve the experiences of mobile applications and drive their time to market without letting complex configurations bog them down.
Although one of the more inexpensive options, it does have drawbacks such as reported bugs and limited output formats. Reveal, however, remains a solid choice for businesses seeking an easy-to-use and cost-effective embedded analytics solution.
Features:
- Embedded Analytics & Standalone BI Solution
- User-Friendly Data Visualizations & Dashboards
- Self-Service Analytics for Non-Experts
- Machine Learning & Predictive Analysis with One Click
- Developer-Focused on Enhanced Mobile & Web Apps
- Affordable Option for Small to Medium-Sized Businesses
- Straightforward Usability
Pricing: starting at $9.99 per month, and a 14-day free trial is available.
Website: https://www.revealbi.io/
3. MicroStrategy
MicroStrategy is a flexible, in-depth analytics tool with an intuitive interface and great power that has been known to deliver insights for AIG, Campbell’s, and eBay from big data as well as small data.
It is easy to use and can facilitate visual information discovery and self-service analytics. Native drivers integrate well with enterprise resources like cloud applications, databases, and MDM systems.
MicroStrategy also supports cloud-based solutions, chatbots, and smart assistants like Alexa, making it very versatile.
Although users like saving and updating templates for more meaningful widgets, the tool’s memory processing capacity sometimes limits it, which can affect performance and data shortcuts.
Features:
- Visual Information Discovery & Self-Service Analytics
- User-Friendly Interface for Easy Navigation
- Flexible Data Management for Large and Small Datasets
- Native Drivers for Seamless Integration with Enterprise Resources
- Cloud Integration & Support for Chatbots and Smart Assistants
- Physical Access Control Systems & Enterprise Directories
- Template Saving for Easier Updates
- Memory Processing Limitations Impacting Performance
Pricing: Customizable prices with a free trial.
Website: https://www.microstrategy.com/en
4. Luzmo
Luzmo is one of the best embedded analytics tools for the web that helps simplify the addition of interactive, white-label dashboards to any web application or SaaS platform.
Using the drag-and-drop feature, users can quickly create advanced, personalized dashboards without needing to build components from scratch.
Seamless white-labeling support; with just a short code snippet of less than 100 lines, businesses can easily integrate these dashboards into existing applications, web pages, and portals.
The ideal tool for companies needing to accelerate the development of analytics features, Luzmo supports real-time report generation for users who are yet dependent on Excel.
Therefore, it’s an ideal tool for business use towards enhanced data capabilities without long setup processes.
Features:
- Web-Based Embedded Analytics Platform
- Drag-and-Drop Dashboard Creation
- White-Labeling & Easy Integration
- Simple Code Snippet for Integration
- Real-Time Report Generation
- Accelerates Analytics Feature Development
Pricing:
Basic Plan: $995/month (Billed annually)
Pro Plan: $2050/month (Billed annually)
Elite Plan: $3100/month (Billed annually)
Website: https://www.luzmo.com/
5. Qlik Sense
Qlik Sense is an embedded analytics tool that has high customization capabilities and provides flexibility for development teams. It supports an open-source library, which makes integration with other environments much easier.
With many automation options, product teams can easily integrate analytics into their data life cycles, thus improving the user experience.
Qlik Sense is quite different, with deep customization and integration capabilities, having open APIs that allow for deep embedding into complex IT environments.
This makes it a favorite for businesses that require tailored analytics solutions since it integrates more smoothly than tools like Domo Everywhere and Tableau, fitting perfectly into unique workflows and infrastructure.
Features:
- Open-Source Library for Easy Integrations
- Extensive Customization & Flexibility
- Automation Options for Data Life Cycle Integration
- Open APIs for Seamless Connectivity
- Supports Complex IT Environments
- Ideal for DevOps & Product Teams
Pricing:
Standard Plan: $825/month (Billed annually)
Premium Plan: $2,500/month (Billed annually)
Enterprise Plan: Custom Pricing
Website: https://www.qlik.com/us
6. Domo
Domo Everywhere is a powerful embedded analytics solution that offers a full suite of features, similar to its stand-alone counterpart, Domo.
It boasts a visually appealing user interface and white-label presentation options, allowing businesses to maintain their brand identity.
What sets Domo Everywhere apart is its focus on user-friendliness—almost all functions are self-service, empowering non-technical users to build and customize dashboards and visualizations without the need for technical support.
The ease of use makes it more appealing for businesses that seek to emphasize simplicity and ease of use. It’s better than other complex ones such as Tableau or Qlik Sense, which would be harder to handle due to technical requirements.
Features:
- Full Suite of Features for Embedded Analytics
- Visually Appealing User Interface
- White Label Presentation
- Self-Service Functionality
- High Customization & Flexibility
- User-Friendly for Non-Technical Users
Pricing: Customizable prices with a free trial.
Website: https://www.domo.com/
7. Informer
Informer is a built-in analytics platform in line with Luzmo, providing features such as strategic planning, trend analysis, and predictive analytics, which other systems don’t have.
Another important feature that sets this application apart is its integration into a broad range of databases, so reporting as well as accessing data itself will be made easy through Informer.
It permits web-based interface access in a multiple source draw, bypassing IT support needs. Informer’s extensible BI architecture and collaborative environment make it a top choice for big enterprises seeking advanced data analytics tools to enhance their capabilities.
It accommodates the flexibility of various skilled data teams by enabling them to either use the point-and-click approach or dive deeper with SQL and JavaScript for more advanced customization.
Features:
- Advanced Features: Strategic Planning, Trend & Problem Indicators
- Predictive Analytics Capabilities
- Seamless Integration with Multiple Databases
- Effortless Reporting from Disparate Data Sources
- User-Friendly Web Interface
- Extensible BI Architecture
- Collaborative Environment for Data Teams
- Flexibility with SQL & JavaScript for Customization
Pricing: Customized pricing with 30 days free trial.
Website: https://software.informer.com/
8. Microsoft Power BI
Microsoft Power BI provides users with a number of features to make it a great choice for business systems that require security, scalability, and robust Embedded Analytics Tools.
As a product under the Microsoft ecosystem, it shares the same business-centric cybersecurity features as other Microsoft products, such as integration into Office 365 to strengthen file security.
It further provides an “analytics playground” where users can experiment with functionality and preview updates before they are entirely rolled out. One of its strong differentiators is that it can be easily integrated with Azure Active Directory.
This means businesses can manage who has access to a specific dataset easily. For organizations that need secure and scalable solutions, this level of granular permissions management is especially valuable.
Features:
- Built-in Microsoft Security Features
- Seamless Integration with Office 365
- “Analytics Playground” for Testing & Updates
- Integration with Azure Active Directory for Access Management
- Granular Permissions Management
Pricing:
Free Account Cost: Free
Power BI Pro Cost: $10/user/month
Power BI Premium Per User Cost: $20/user/month
Power BI Embedded Cost: Variable (Contact Sales)
Website: https://www.microsoft.com/en-us/power-platform/products/power-bi/
9. Panintelligence
Panintelligence, or pi, merges powerful predictive analytics, business intelligence, and self-service dashboards to deliver immediate and clear insights.
Its standout feature is the ability to rapidly white-label and embed the software into any product, making the integration with ETL tools and data warehouses, such as BigQuery, seamless.
The support team of Panintelligence will assist you in setting it up and embedding it into your application in just a few days, which will significantly accelerate your time to market, especially for small development teams.
Many tasks are performed autonomously by the tool, thereby reducing manual effort. However, users have commented that the tool offers limited connections to data sources on the web.
Features:
- Powerful Predictive Analytics
- Self-Service Dashboards for Quick Results
- White-Label Capabilities for Easy Embedding
- Seamless Integration with ETL Tools & Data Warehouses (including BigQuery)
- Quick Setup and Embedding Assistance
- Automates Manual Tasks
Pricing:
Try Pi for Free Cost: Free (30-day license)
Develop pi Cost: Unit-based pricing
Deploy pi Cost: Unit-based pricing
Website: https://panintelligence.com/
10. GoodData
GoodData is an in-built analytics platform that takes care of the whole pipeline of data analytics from ETL to integration, reporting, and visualization.
This enables businesses to create, share, and automate analytics at scale. The insights are easily shared with customers and other external partners, which is why it’s a good solution for companies that have large amounts of data from various sources.
Non-technical customers can rapidly create personalized dashboards and reports using this drag-and-drop functionality; however, more technical clients have more advanced visualization that allows deeper analysis.
More users require expert help to pull in data from the platform, though the population process of the reports is often slow, occasionally taking as long as 30 minutes before producing correct results.
Features:
- End-to-End Data Analytics Pipeline
- Seamless Integration and Reporting
- User-Friendly Dashboards and Reports
- Advanced Visualization Options
- Easy Sharing with Customers and Partners
Pricing: contact sales for pricing for both the plans
Professional: Pre-workspace pricing (annual billing)
Enterprise: Custom pricing
Website: https://www.gooddata.com/
What are the Benefits of Embedded Analytics Solutions?
Embedded analytics tools come with a variety of benefits that make them a game-changer for businesses. Here’s a breakdown of why they’re worth considering:
1. Streamlined Decision-Making
Embedded analytics put data right where it’s needed, so users don’t have to hunt for insights or toggle between tools. This accessibility allows faster and better-informed decision-making, helping teams act confidently and effectively in real-time.
2. Improved User Experience
Embedded analytics make the experience seamless by integrating data visuals like charts and dashboards directly into familiar apps. Users can interact with relevant insights in their everyday workflow, making the tools they use more intuitive and valuable.
3. Increased Productivity
With data embedded in their regular tools, users save time otherwise spent switching platforms or waiting for reports. This direct access to insights lets teams focus on their tasks while using real-time data to guide their efforts efficiently.
4. Personalized Insights
They allow role-specific customizations and/or task customization. For example, they allow sales representatives to see some customer-specific information, allowing managers to monitor high-level performance metrics of the people get just what is needed to make excellence happen for them.
5. Deeper Collaboration
Shared dashboards and in-app reporting enable teams to align upon goals and performances. Any team that gains access through shared insights fosters collaborative efforts, resulting in informed discussions.
6. More Adoption of Analytics
Analytical tools are complicated and daunting, which may have resulted in low adoption. Embedded analytics are intuitive, put directly into familiar workflows, and therefore allow the non-technical user to interact with and trust the data.
7. Real-Time Insights
Many of the embedded analytics tools provide real-time data, which allows the users to act quickly on opportunities or resolve challenges before they get out of hand. It is especially useful for tracking sales trends, inventory levels, or customer behavior.
8. Cost Savings
Integration of analytics directly into existing systems can reduce the dependence on standalone tools. Not only does this save software costs, but it also saves time and effort in managing multiple platforms.
9. Competitive Advantage
Companies that are using embedded analytics can respond more rapidly to market shifts, better optimize operations, and give their customers better experiences. These capabilities make them stand out compared to competitors using slower, unconnected data processes.
10. Scalability
As a business expands, so do its data requirements. Embedded analytics is designed to scale with the addition of new users, data sources, and complex features without interfering with established workflows, so it remains a long-term solution.
How to Choose the Right Embedded Analytics Tool?
Choosing the right embedded analytics tools can seem overwhelming, but it doesn’t have to be! Follow this step-by-step guide to make the best decision:
1. Understand Your Needs
Before going into the choices, take a step back and determine what you want from an embedded analytics tool. What type of data do you work with? What kind of insights will your users require? Do you require real-time updates or predictive capabilities? Being clear on what you are trying to achieve will allow you to zero in on the right tools that answer your needs.
2. Evaluate Integration Capabilities
The right tool should seamlessly integrate with your existing systems: CRM, ERP, or a custom-built app. Check if it easily connects with your data sources such as SQL databases, APIs, or cloud platforms. Seamless integration will mean less hassle at the time of setup and better performance in the long run.
3. Focus on User Experience
Not everyone is a data expert. It needs to be straightforward so that everyone on your team can use it easily. Features such as drag-and-drop dashboards, intuitive navigation, and interactive reports should feature at the top of the list. A user-friendly interface invites adoption and helps users get the most out of the tool.
4. Scalability Matters
Think beyond your immediate needs and consider how your business may grow. The tool needs to be able to support more users, data, and advanced functionalities as your operations expand. A scalable solution ensures you won’t outgrow your analytics tool anytime soon.
5. Customization Options
Each business is different, and your analytics solution should be as well. Seek a solution in which you can customize everything from the dashboards to the reports to mirror your brand and workflow, thereby making the analytics feel organic to your ecosystem.
6. Real-Time and Predictive Analytics
Real-time access is always necessary when quick decision-making is the case in a business. Predictive analytics can be further leveraged by anticipating trends or identifying potential risks before it’s too late and keeping you proactive rather than reactive.
7. Security and Compliance
Data security is non-negotiable. Ensure the tool is built with robust security in mind, such as using encryption, role-based access control, and regular updates. Be sure it also complies with any regulations that apply in your industry, such as GDPR, HIPAA, or CCPA.
8. Cost vs. Value
Be warned not to always opt for the most inexpensive option. What’s essential is to see how much value you’re getting in exchange for the price tag. Determine what’s included within your pricing plan and avoid surprises when it comes to concealed charges. Aim to balance affordability and essential features that cannot be skipped.
9. Seek Good Vendor Support
Good vendor support can save you from technical headaches. Make sure the vendor provides training, onboarding, and continued support. A responsive support team ensures you can troubleshoot quickly and make the most of the tool.
10. Test Before You Commit
Most vendors offer free trials or demos, so take advantage of these to see how the tool works in your setup. Involve your team in the testing process to make sure it meets everyone’s needs. Testing is a low-risk way to evaluate whether the tool is the right fit for your organization.
Conclusion
In conclusion, the embedded analytics tools are very powerful solutions that allow businesses to seamlessly integrate data insights into their applications, which drives smarter decision-making and enhances user experiences.
From user-friendly platforms like GoodData to more advanced options like Qlik Sense and Power BI, there’s a wide range of tools available to suit varying levels of technical expertise and business needs.
Whether you want to build interactive dashboards, conduct predictive analysis, or offer customizable reporting, all of these tools can easily support your needs.
From embedded analytics software, companies can unlock the full power of their data, make processes more efficient, and have better collaboration between teams and customers.
FAQs
1. Are embedded analytics software only for big businesses?
No, the tools of embedded analytics are accessible to businesses of all sizes. A lot of tools provide scalable options, so they can be both for small businesses, startups, and large enterprises. Features like self-service dashboards and easy integration can help even non-technical teams use these tools to maximum effect.
2. How secure is the data with embedded analytics solutions?
Data security varies by platform, but most embedded analytics solutions have robust security features such as data encryption, secure access management, and compliance with industry standards. It is important to ensure the security protocols of the tool chosen to protect the data.
3. Can embedded analytics solutions enhance customer experience?
Yes, embedded analytics tools can enhance the customer experience to a great extent by providing personalized dashboards, real-time insights, and easy-to-understand visualizations. They allow clients to access data-driven insights that are relevant to their needs, thereby improving satisfaction and engagement.
4. Can embedded analytics software be used for predictive analytics?
Yes, most of the embedded analytics solutions come with predictive analytics built-in. These tools can run machine learning models, make forecasts on trends, and allow businesses to make data-driven predictions. This is helpful for proactive decisions and identification of opportunities or risks at the earliest possible moment.
5. How do the prices of the embedded analytics solutions work?
Pricing models for embedded analytics solutions vary widely. Some charge on subscription while others are pay-as-you-go or tiered based on the number of users, volume of data, or number of features accessed. It is, therefore essential to choose a tool that will fit your budget and provide room for scalability as the business grows.
