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Bold BI by Syncfusion
Bold BI by Syncfusion

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Customer-Facing Analytics: What It Is, Benefits & Use Cases

Introduction

Businesses today aren’t just collecting raw data; they’re using it to create better experiences for their customers. With customer-facing analytics, a business’s customers have access to useful insights—like how things are going, or what’s working and what isn’t—right inside the product. In this blog, we’ll explore what customer-facing analytics is, why it matters, and how different industries use it to transform everyday data into strategic tools for their customers.

What is customer-facing analytics?

Customer-facing analytics embeds real-time data insights directly into your product, helping your customers track performance and make informed decisions instantly. It turns data into a shared language between you and your users, driving smarter outcomes and stronger relationships.

For example, a customer success manager using a customer-facing analytics solution can view embedded dashboards showing NPS, CSAT, CES, and feature adoption rates, all within the product. This self-service approach turns data into a strategic asset, helping users stay proactive, personalize their engagement, and build stronger relationships with their provider or supplier.

Monitoring customer satisfaction data in an embedded app

5 benefits of customer-facing analytics

Customer-facing analytics delivers insights that build customers’ trust, increase customer engagement, and support customer decisions. Here are five benefits:

5 benefits of customer-facing analytics

  1. Emphasis on outcomes: By aligning analytics with business objectives, the focus shifts from merely showcasing features to demonstrating the actual value your product delivers. Customers can clearly see how your solution is integral to their success.
  2. Opportunities for revenue: Customer-facing analytics can be offered in different tiers, such as free summary views, paid custom reports, or premium predictive features. This creates new ways to generate revenue that complement your main product.
  3. Data-driven transparency: By providing a comprehensive overview of key performance indicators, customer-facing analytics offers users a transparent perspective on product performance, fostering trust and confidence in their investment.

  4. Real-time value tracking: Customer-facing analytics delivers real-time insights that reflect ongoing progress, whether through immediate performance metrics or trends in user engagement. This ensures that the value of your product remains measurable and apparent.

  5. Personalized data views: With customer-facing analytics, each customer receives data tailored to their goals, not generic stats, helping them make decisions faster and with more confidence.

Now that we’ve seen the benefits, let’s go over eight key features an effective customer-facing analytics solution must have.

8 essential features of a customer-facing analytics solution

A well-designed customer-facing analytics solution empowers users to explore insights independently, securely, and intuitively. These eight features create a smooth experience that aligns business goals and customer needs:

  1. Visualizations allow users to engage with charts and dashboards through filters, drill-downs, and tooltips—no technical expertise required.
  2. Flexible deployment options allow businesses to choose a model that aligns with their compliance and infrastructure requirements.
  3. Enterprise-grade security, such as single sign-on (SSO) with Office 365, OAuth 2.0, and OpenID, alongside strict controls like row-level security, ensures users securely access only their own data, maintaining privacy and compliance.
  4. Collaboration features facilitate sharing insights and dashboards among team members, enhancing collaboration and decision-making processes.
  5. White labeling options let companies customize the appearance and branding of the analytics solution, allowing them to maintain their company identity while providing analytics capabilities to their clients.
  6. Scalable multitenant support ensures your solution serves many clients securely, with isolated data environments that scale effortlessly as usage grows.
  7. AI analytics lets users interact with data using natural language queries, making reporting and insights easier to generate without technical barriers.
  8. Self-service analytics enable users to build custom views, manipulate filters, and download dashboards on their own, minimizing dependency on support teams.

To further explore how these features come together to create valuable, user-friendly dashboards for customers, let’s look at some examples of effective customer-facing dashboards built using Bold BI.

4 use cases of customer-facing analytics

Customer-facing analytics is reshaping the way businesses deliver data-driven experiences. Here, we are going to see how Bold BI provides a collection of built-in and ready-to-use customer-facing analytics solutions that make it easier for businesses to deliver real-time insights to their users.

Finance industry

Staying ahead of financial trends is impossible when insights arrive too late. With customer-facing analytics, clients gain instant visibility into their revenue, current ratio, gross profit margin, equity ratio, and other performance metrics. That means faster decisions, fewer missed opportunities, and an improved way to manage money, without waiting for end-of-month reports.

Customer-facing analytics in finance

Telecommunication industry

In the telecom industry, when calls drop or messages lag due to a slow network, customers want quick answers. With built-in analytics, they can easily identify the root cause by checking their services themselves, keeping them informed and reducing frustration.

Customer-facing analytics in telecommunication

Manufacturing industry

In the manufacturing industry, factories stop using a product if they don’t find value in it. Customer-facing analytics enables manufacturing production managers to easily see which products are used most and which are most prone to errors and rework, before the problem grows or leads to significant production delays.

Customer-facing analytics in manufacturing

Healthcare industry

In healthcare, waiting for a very long time without knowing when you'll be treated can be hard. Therefore, most patients prefer knowing when their next visit will be, how their treatment is going, and are curious about what others think about their own care from the provider. With real-time updates, hospitals can share this information clearly, helping patients feel supported and informed.

Customer-facing analytics in healthcare
These are just a few examples of built-in customer-facing dashboards in Bold BI®. To see many more, visit our sample dashboard page and explore real-time dashboards across different departments, industries, and types of data analytics. See how embedded analytics can elevate your customer experience and drive your customers toward data-backed decisions.

Now, let’s explore the key differences between building and buying ready-made customer-facing dashboards.

Building vs. buying a customer-facing analytics solution

When it comes to delivering customer-facing analytics, businesses face a key decision: choosing between building a custom solution from scratch and investing in a ready-made platform. Each has its own advantages and disadvantages. The following table discusses them in detail.

Building a customer-facing analytics solution Buying a customer-facing analytics solution
Pros Complete control: You gain full control over features and design, allowing you to tailor the solution specifically to your product and customer needs. Full customization: The interface, workflows, and analytics logic can be precisely tailored to meet your unique business requirements. Long-term cost control: After covering initial development costs, there are no ongoing license fees, allowing for flexible budgeting. Predictable costs: Lower initial cost with predictable pricing based on subscription or licensing models. Fast deployment: Ready-to-embed solutions help you offer insights to your users within the shortest time possible. Vendor maintenance: Updates, bug fixes, and performance enhancements are handled externally, reducing internal upkeep. Powerful features: Offers prebuilt capabilities such as AI-driven insights, embedded dashboards, and intuitive self-service analytics, giving you a robust, ready-to-deploy solution with minimal effort.
Cons Cost: The initial development costs can be high. Maintenance: Ongoing updates, bug fixes, and feature upgrades will need to be managed internally, which can be resource-intensive. Time: Building a solution often takes longer and requires significant internal coordination. Limited customization: You may face constraints on layout, branding, or data modeling. Recurring costs: Subscription or licensing fees may increase long-term costs. Vendor dependency: You’re tied to the product road map, uptime, and support SLAs of the provider.

So, which path should you take?

The decision depends on your priorities:

  • If time-to-market, scalability, and ease of use are critical, buying a platform gets you there faster.
  • If your product demands unique data experiences, branding control, or tight integration, building your own solution gives you the flexibility to innovate freely.

Many companies begin with a purchased solution to deliver immediate value, then evolve toward custom components over time. Likewise, you can try Bold BI as a quick and adaptable option to explore self-service and embedded analytics without committing to a full custom build from day one. No credit card needed—all you need to do is sign up for a free trial and we’ll get you started.

Explore our simple onboarding process to quickly launch tailored dashboards, track key metrics, and start generating customer-facing insights with ease.

Choose Bold BI for customer-facing analytics

Customer-facing analytics has become a must-have. As companies strive to move beyond traditional BI, which often requires coding, separate tools, and slowly delivered insights, Bold BI® offers embedded analytics that work right inside your app, highlighting the true value of your product, retaining your customers’ trust, and increasing your revenue.

It’s easy to use, secure, mobile-friendly, and affordable. Additionally, Bold BI AI analytics, which you can embed into your app, allows you to ask questions in natural language and instantly get insights in the form of summaries, dashboards, and visuals anywhere, anytime, without switching platforms.

You can request a demo with a Bold BI expert or try it anytime to explore its full potential.

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