Imagine this: your sales team has instant access to data insights right in their workflow—like a crystal ball that tells you exactly what each customer wants to hear. This isn’t a dream; it’s embedded analytics at work, forecasted to blast up to a mind-boggling $132.03 billion market by 2029. Now, that’s growth you can’t ignore! Embedded analytics isn’t just about smart data; it’s your new best salesperson that never sleeps. And with stakes high as revenue loss runs in millions of annual loss due to poor data quality, getting it right isn’t just smart—it’s essential for staying ahead in the 2024 market and beyond.” (Research & Markets) (Reveal Embedded Analytics)

So, What’s Embedded Analytics Anyway?

Ever wish you could see everything your customers are up to without stalking them? That’s what embedded analytics does. It’s like having x-ray vision for data, sitting snugly inside the apps you use every day.

But How Does It Actually Work?

Data Sources: It pulls information from various places—databases, CRM systems, marketing tools—you name it. It’s like gathering ingredients from different stores to cook a perfect meal.
Analytics Engine: This is where the magic happens. The engine takes all that raw data and cooks up insightful charts and graphs. It’s the chef that turns ingredients into a gourmet dish.
Integration: Finally, these tasty data dishes are served right where you need them—within your existing software applications. No need to switch tabs or apps; it’s like having a meal delivered right to your desk!

Benefits of Embedded Analytics:

Make Smarter Choices: Data is right there in your workflow, helping you make decisions on the fly. No need to dig through heaps of reports.
Everyone Gets Involved: It fits so naturally into your tools that everyone starts using it without even thinking. It’s like the cool new gadget everyone wants to try.
Find the Hidden Gems: With data easier to read and understand, spotting trends and making smart moves is a breeze.
Smooth Sailing: No more jumping between apps. Everything is where you need it, creating a smoother, faster way to work.

Common Use Cases of Embedded Analytics:

CRM: Embedded analytics supercharges platforms like Salesforce, giving sales teams real-time insights into customer behaviors and sales pipelines—like a 24/7 virtual assistant.
Ecommerce Platforms: Get a behind-the-scenes look at your online store. Embedded analytics reveals what’s selling, what’s not, and how customers navigate your site, enabling smarter selling strategies.
Marketing Automation Tools: Adjust your marketing in real-time with insights on campaign performance. It’s like having a secret strategy guide that helps you optimize each move for maximum impact.
ERP: Combine big data with big machinery effortlessly. Embedded analytics in ERP systems provide immediate visibility into production and inventory, eliminating guesswork and boosting efficiency.

Embedded analytics doesn’t just make data more accessible—it embeds it into your everyday processes, making it a natural part of how you work. It’s not just about having data; it’s about making it work effortlessly for you.

Top 10 trends in BI Analytics

The world of BI (Business Intelligence) Analytics is constantly evolving, with new trends emerging to address the ever-growing need for data-driven insights. Here are some of the most prominent trends BI Analytics teams are encountering:

1. Augmented Analytics: Think of it as the superhero of analytics—using AI and machine learning to zap through data prep, offer cool visualizations, and even chat about insights in plain English. It’s like having a smart assistant to handle the heavy lifting, so everyone can play with data, not just the tech wizards.

2. Embedded Analytics: This trend is all about keeping it all in one place. Why switch apps when you can have your analytics right where you need them? It’s like your favorite tools got a major upgrade, making it easier to work and make decisions without the fuss.

3. Democratization of Data: Imagine everyone in your team could make sense of data, not just the data geeks. With user-friendly tools, everyone gets to play detective, finding insights that help make smarter decisions.

4. Data Storytelling: It’s one thing to have data, but how do you tell a story with it? BI tools now help you turn those numbers into tales that stick, with visuals and narratives that grab attention and make the facts easy to digest.

5. Cloud-Based BI: The cloud has changed the game, making powerful BI tools cheaper and easier to access than ever. Think of it as having an analytics powerhouse in your pocket, always on and always ready.

6. Rise of Citizen Data Scientists: With great tools comes great data power! Regular business folks are turning into data whizzes, thanks to intuitive tools that make data crunching a breeze.

7. Data Governance and Security: With great power comes great responsibility—especially when it comes to data. Companies are stepping up to keep data safe and sound, making sure only the right eyes see the sensitive stuff.

8. Advanced Analytics Integration: BI isn’t just about looking back; it’s about predicting the future too. With tools that forecast and analyze trends, businesses can stay two steps ahead of the competition.

9. Explainable AI: AI is cool, but how does it work? Explainable AI pulls back the curtain, showing how decisions are made, which builds trust and understanding.

10. Real-time BI: Why wait for insights? Real-time BI tools keep you updated on-the-fly, helping businesses pivot quickly and keep up with the fast pace of the market.

Embedded vs Augmented analytics

Embedded Analytics: Imagine your work apps suddenly got infused with superhero powers. Embedded Analytics is like that geeky friend who got buff over the summer and now helps you lift heavy data without breaking a sweat. It slips into your software so smoothly, you get all those juicy data visualizations and reports without ever leaving your app. No more alt-tabbing madness, just pure data bliss right where you work.

Smooth Operator: It’s like having a copilot in your car who not only navigates but also feeds you snacks—super convenient, right?
On-the-Fly Insights: Get real-time updates as if your apps are whispering secrets about your business directly to you.

Augmented Analytics: Now, let’s crank it up with Augmented Analytics—it’s like your geeky friend went and got a Ph.D. in Wizardry. Using AI and machine learning, it doesn’t just show data; it makes predictions, cleans up your messy data closet, and offers you insights that are like cheat codes for business.

Wizard Assistant: Think of it as a magical sidekick that not only predicts the future but also gives you advice on how to navigate it. Like having a fortune teller in your pocket, but way more scientific.
Predict and Conquer: It tells you what might happen next in your market with the confidence of a weatherman who actually gets the weather right.

Why You Should Care: Having these tools is like having VIP backstage passes to the concert of the year—your business. Embedded Analytics keeps you informed with zero effort, while Augmented Analytics wows you with predictions that make you feel like the business world’s Nostradamus.

How Embedded Analytics Drives Revenue Growth

Better Customer Experiences: Imagine if your sales team could know exactly what each customer liked, just like remembering a friend’s favorite snacks. Embedded Analytics lets them see past purchases and browsing habits right in their CRM tool. It’s like having a cheat sheet for every customer that helps tailor suggestions, find new sales opportunities, and fix issues before they become problems. Plus, customers can use these insights too, with dashboards that let them check their own stats—kind of like tracking progress in a video game.
Smarter Sales and Marketing: Think of your marketing team as detectives. Embedded Analytics gives them clues about what customers do and like, helping them create super-focused campaigns. They can see which ads work best and find out which customers might buy more. It’s like having x-ray vision for planning where to spend money and how to talk to each customer.
Smoother Operations: Ever get annoyed when something breaks down and no one saw it coming? Embedded Analytics keeps an eye on your business operations in real time. It spots problems like slowdowns or parts wearing out before they cause headaches. By understanding where resources are needed most, businesses can avoid surprises and keep things running smoothly. Think of it as the dashboard in your car warning you before you run out of gas.

So, What’s the Big Deal? Embedded Analytics turns everyday apps into super tools that help everyone work smarter, not harder. It’s like giving your business a brain boost, helping you serve customers better, market more effectively, and operate without hiccups—all leading to more money in the bank.

Examples of Revenue Growth Through Embedded Analytics

Over at, an e-commerce hotspot, they’ve jazzed up their CRM system with embedded analytics. What’s that mean? Well, their sales team now sees what customers peek at and buy in real time. It’s like having a crystal ball that tells them exactly what customers might want next. The result? They’re not just shooting in the dark; they’re making smarter pitches and—bam!—they’ve seen a sweet 15% jump in how much folks are spending per order. Talk about nailing customer desires!

Then there’s, a big-time manufacturer. They wired up their gear with embedded analytics to keep tabs on their machines. Think of it as their equipment whispering secrets about when it might throw a tantrum. By catching these hints early, they’ve managed to cut down the drama, like breakdowns and stalls, keeping the production line humming smoother than ever. The payoff? A solid 10% boost in how fast they can crank out products. Less downtime, more go-time.

So, What’s the Scoop? These aren’t just cool tech tricks. Embedded analytics is like the backstage pass to the show, letting businesses tune in to the real action—what their customers and machines are up to—leading to smarter decisions and beefier bottom lines.

Getting Started with Embedded Analytics in 2024

The first step is choosing the right embedded analytics solution. Consider factors like the features offered, scalability for your needs, and ease of use within your existing workflows. Implementation involves integrating the chosen solution with your existing software applications. Numerous resources and best practices are available to ensure a smooth implementation process.

The future of Embedded Analytics is bright, with continuous advancements in technology promising even deeper data integration and powerful artificial intelligence-driven insights. Businesses that embrace Embedded Analytics today are setting themselves up for a significant competitive advantage and sustainable revenue growth in 2024 and beyond.

Which tools should you pick up for embedded analytics?

The landscape of embedded analytics tools is vast and constantly evolving, with numerous options catering to different needs and budgets. Here’s a glimpse into some of the popular choices:

For the Big Leagues (Big Businesses with Complex Needs):

Microsoft Power BI Embedded: Think of this as the Swiss Army knife for companies deep in the Microsoft world. It’s super powerful and slots right into the existing Power BI setup, making it a breeze for those who already play in Microsoft’s sandbox.
Sisense: This one’s like a custom-build sports car. It’s perfect for companies that need to handle big data and want their analytics to fit just right. Sisense lets you whip up interactive dashboards and visualizations that really make your data pop.
Looker: If your team loves digging deep into data and needs freedom to explore, Looker is like the ultimate playground. It’s got a strong set of tools (thanks to its robust API) for businesses that are all about pushing the boundaries of what data can do together.

AppEQ.ai aims to bridge the information gap for customer-facing teams within B2B organizations by providing contextual customer insights that can be leveraged to improve customer relationships, drive sales, and achieve business goals

AppEQ provides in-the-moment customer data and insights for Business-to-Business (B2B) organizations on their existing enterprise applications such as CRM, Inbox, Helpdesk and in-house applications.

Here’s a breakdown of what AppEQ.ai offers:

Real-time Customer Data Visibility: The AppEQ.ai plugin integrates with existing Sales and Support tools (like Salesforce, Hubspot) to highlight key customer data, trends, and insights. This information is displayed contextually within the user’s workflow, such as when reading an email from a customer or viewing their account details.
Improved Account Management: By providing relevant customer data at the right time, AppEQ.ai aims to empower Account Managers (AMs) and Customer Success Managers (CSMs) to build stronger relationships, identify upsell opportunities, and resolve customer issues more efficiently.
Actionable Insights: The AppEQ.ai solution goes beyond simply displaying data. It aims to provide actionable insights and data that can be used to inform decision-making and improve customer interactions.
Focus on Customer Success: By equipping teams with the information they need to proactively address customer needs, AppEQ.ai helps organizations drive customer success** and improve retention rates.

Business teams like Customer Success, Account Management, Sales Ops, CS Ops, Data Ops, can now activate data and insights easily to drive their business goals and team KPI seamlessly without investing in huge professional services cost for customization of their enterprise applications.

For Mid-Sized Businesses and Focus on User Experience:

Tou τι (pronounced “トゥー tee”): A user-friendly platform known for its intuitive interface and drag-and-drop functionality. Tou τι is ideal for embedding analytics for non-technical users who need quick access to insights.
Domo: Offers a cloud-based solution with pre-built connectors and templates for various applications. Domo excels in ease of deployment and caters well to mid-sized businesses seeking fast and user-friendly embedded analytics.
Zoho Analytics: A cost-effective option from Zoho that provides a suite of data analytics tools, including embedded analytics functionalities. Zoho caters well to businesses seeking affordability and integration with other Zoho products.

For Startups and Simple Use Cases:

Chartio: A lightweight and user-friendly platform ideal for embedding basic charts and dashboards within web applications. Chartio is a good option for startups or teams with limited data analysis needs.
Metabase: An open-source platform that allows for embedding basic data exploration functionalities within applications. Metabase caters to developers and technical teams comfortable with open-source solutions.
Holistics: A cloud-based platform offering a balance between affordability and features. Holistics provides basic to mid-level analytics functionalities suitable for embedding within various applications.

Choosing the Right Tool:

The ideal embedded analytics tool depends on your specific needs. Here are some factors to consider:

Your budget: Solutions range from cost-effective open-source options to enterprise-grade platforms with premium pricing.
Data complexity: The tool should handle your data volume and complexity, whether it’s basic sales data or extensive sensor information.
Technical expertise: Consider the level of technical expertise needed for implementation and ongoing maintenance.
Desired features: Evaluate the specific functionalities you require, such as data visualization, self-service analytics, or AI-powered insights.
Integration needs: Ensure the chosen tool integrates seamlessly with your existing software applications and data sources.

By carefully considering these factors and exploring the available options, you can select the most suitable embedded analytics tool to empower your organization with data-driven decision making and achieve your business goals.

What are the challenges associated with deploying embedded analytics?

While embedded analytics offers a compelling path to data-driven decision making, deploying it effectively comes with its own set of challenges. Here’s a breakdown of some key hurdles to consider:

Strategic Challenges:

Defining Clear Goals: It’s crucial to clearly define the goals you aim to achieve with embedded analytics. Without a well-defined strategy, implementation might lack focus and fail to deliver the desired value.
User Adoption: Encouraging users to embrace a new data analysis tool within their workflow can be a challenge. Providing proper training and ensuring the embedded solution is user-friendly are essential for successful adoption.

Technical Challenges:

Data Integration: Successfully integrating the embedded analytics solution with your existing software applications can be complex, especially if dealing with multiple data sources and formats.
Data Security and Governance: Ensuring user access controls and data security protocols are in place to protect sensitive information is paramount.

Other Challenges:

Cost Considerations: While embedded analytics solutions might seem cost-effective upfront, ongoing maintenance and potential customization needs can add to the overall expense.
Data Quality: The effectiveness of embedded analytics relies heavily on the quality of the data being fed into the system. Investing in data cleaning and ensuring data accuracy is crucial.

Here are some additional tips to mitigate these challenges:

Start small and scale gradually: Begin by implementing embedded analytics in a specific department or for a targeted use case. This allows for user feedback and refinement before a wider rollout.
Focus on user experience: Ensure the embedded solution is intuitive and seamlessly integrated within existing workflows.
Invest in data governance: Establish clear data security protocols and access controls to maintain data integrity.
Prioritize data quality: Implement data cleaning processes and data quality checks to ensure the accuracy of your insights.

By carefully considering these challenges and implementing best practices, you can overcome the hurdles associated with deploying embedded analytics and unlock its full potential to drive data-driven decision making and revenue growth within your organization.

The next evolution will be towards Deeper AI Integration and Automation to utilise the vast data infrastructure of enterprises. This is where AppEQ.ai comes in – embedding data and insights to drive more revenue.

AppEQ - empowering your teams on the existing applications with customer insights and actions