Embedded BI vs. Customer-facing Analytics

Customer-facing analytics enhances data experience

Why is Embedded BI Not Right for Your B2B SaaS Product?


For all you coffee lovers out there, here is some food for thought to set the tone for this article:

When buying a coffee machine for your home, several things get factored into your decision-making process. The brewing temperature, single-serve vs. multiple-serve, the type of carafe it uses, and so on.

Now, imagine buying a coffee machine not for your home, but for a cafe or restaurant that you own. Would you still be considering the same factors as above?

Perhaps not. For starters, you will expressly look for industrial-grade coffee machines that are designed to serve a large number of coffees in rapid succession. Plus, since your machine will likely be operated by a front-end employee and not by you directly, you would inevitably prefer automatic coffee vending machines vs. manual ones. 

After all, manual coffee machines require their users to know nuances like how many grams of coffee are to be added each time, the optimal temperature and pressure to be selected, how to froth milk using the frothing stick, and so on.

Hence, for the sake of speed, scale, and consistently yummy coffee, you would ideally want an automatic machine that does all this at the touch of a button and serves a large number of customers simultaneously.

Are you with us so far? Great. Because that means you have already sniffed out what we are about to tell you next:

Embedded BI is like a home-based coffee machine for businesses. It works great when the needs are fairly limited and internal to a business. But for B2B SaaS businesses that serve hundreds of customers with integrated data, actionable insights, and self-service intelligence, Embedded BI is not enough. 

No, scratch that. 

Embedded BI is simply NOT RIGHT for B2B Saas.

Simply put, they need the technology equivalent of the industrial-grade coffee machine in our opening example, i.e. a simple, scalable, fast, no-code, and fully automated customer dashboard solution. This is also referred to as Customer-facing Analytics – which is exactly what Verb specializes in.

In this blog, we share with you how and why Customer-facing Analytics is the best bet for your B2B business, as opposed to the existing Embedded BI solutions that flood the market.

Let’s get the ball rolling!


4 Reasons Why Customer-facing Analytics is Your Best Bet

#1 Decisions and Actions, Not Just Visualization

The single biggest barrier to making Embedded BI work for B2B SaaS is the sheer amount of complexity that you and your customers have to deal with. Customers of B2B SaaS products have distinctly different data needs from that of users of Embedded BI.

To understand this, let us consider the typical analytics pipeline. It begins with data sourcing and ends with a data-driven action taken by a data user. In between, there are a lot of steps like collection and extraction of data, data transformation, data loading, storage, setting up APIs, and facilitating in-depth data visualization.

Customer-facing analytics enhances data experience
Verb customer-facing analytics enhances the data experience by simplifying the analytics process

Embedded BI vendors can’t offer all of this as a single, packaged solution because they were purpose-built for analyzing data, not for driving actions using meaningful insights. Nor do they offer CSS customizations and other white labeling options at scale, which are critical for B2B SaaS.

There are also several other disadvantages specific to the UI of Embedded BI. For example, they require users to toggle between multiple applications to integrate data from multiple sources and then analyze and visualize the same to glean insights.

Customer-facing analytics offers all the above data functions but in a radically easy-to-consume manner, targeting the unique decision-making needs of your customers. 

We at Verb, for example, take the bull by the horns by offering a purpose-built solution that reduces the complexity of Embedded BI with a single, automated, no-code platform. All the steps in the data lifecycle are automated along with elastic scaling enabled. Furthermore, instead of toggling between multiple applications, we offer a unique in-product UI experience with options to customize and white-label data experiences for all your clients with the click of a button.

#2 A Stitch in Time Saves Nine

When serving customers with data solutions, B2B SaaS businesses are expected to possess a unique superpower – the ability to make delays disappear for good!

Unfortunately, loading time, time-to-insight, and time-to-market are not areas of strength of Embedded BI. Frankly, it might even be a non-issue in some cases. But this means that B2B SaaS companies relying on Embedded BI to cater to their customers’ needs are burdened with high development overhead in terms of man-hours. It burdens your customers with delays and lags in decision-making, failure to respond quickly to market changes, and losing out on seizable opportunities. 

Your customers’ sales teams, for example, are likely to make critical decisions at the point of sale every day. They need real-time insights while making a sale, not before or after. Keeping this in mind, Verb’s dashboards are designed to tune in to the unique data needs of each user category in your customer organization in a time-bound manner. It throws up exactly what the user needs at a given decision-making instance. Decisions, even at the lowest rungs of your customer’s organizational hierarchy, are made spontaneously data-driven by Verb.

Hence, our customer-facing analytics is primarily focused on helping you build customer stickiness. This means that once your customers see the results that you deliver to them consistently, they will never consider switching to a competitor of yours. 

#3 Automation and Autonomy for All, Not Just Coders

Ask yourself this: Does your Embedded BI tool provide the kind of UI that makes it accessible to all levels of users in your client organization?

Probably not. In particular, business users with zero knowledge of coding are usually the ones that get left out. That’s like playing a soccer match with only half of your team on the field!

Customer-facing analytics promises your customers the ability to analyze their data in ways that best serve their decision-making needs. And no one delivers on this promise better than Verb.

When we say that we’re no-code, we truly mean 100% no-code across the length and breadth of our customer dashboards. Our fully embedded customer-facing analytics ensures that automation and autonomy are put in the hands of every user, not just coders/data experts. Our extensive suite of embedded collections goes beyond typical charts and dashboards. With automated, customizable builders for data, analytics, and visualization components, we take data democracy to a whole new level.

#4 Your IT/Data Team Has Better Things to Do

Imagine freeing up your IT/Data team so that they can finally focus on advancing your core product. Feels amazing, right? Well, with Verb, that will no longer have to be just in your imagination – we make it happen for each of our B2B SaaS clients right from day one.

Unlike Embedded BI, customer-facing analytics comes loaded with pre-configured dashboards and templates that create output streams with just a few clicks. They give a serious leg-up to B2B SaaS products by drastically enhancing the access and usability of data without the need for intervention from a data scientist. 

At Verb, for example, we unleash customer autonomy through self-service, effectively freeing up the engineering team’s bandwidth for our B2B SaaS clients. This is a huge strategic advantage that is reflected in improvements in the overall ROI of the business.

Keen to explore how Verb can help you with customer-facing analytics that gives you an edge over Embedded BI? Visit https://verbdata.com/, or get in touch with us here to get started on your data visualization journey today!

If you want a tour of our newest features get in touch!