CUSTOMER-FACING ANALYTICS
Analytics your customers pay for
Reporting your customers see is a different job from reporting your own team uses. It has to be right every time, and it has to be worth paying for.
Sound familiar?
Your reporting was built for your team, and now customers want it
What started as an internal view is being shown to people who didn't build it and won't forgive it. Every rough edge becomes a support ticket.
You're delivering by hand
The information is genuinely valuable. Getting it to each customer means somebody compiling a file, per customer, per period, which caps how many customers you can carry.
Renewals become an argument about value
You know the product works. Proving it at renewal means exporting numbers into a deck the week before the call.
Every customer wants their own cut
Each customer wants their own slice of the data, on their terms, without emailing anyone. Right now you're either building one-offs by hand or saying no.
What we do
Pipelines rebuilt so the reporting refreshes reliably and the numbers reconcile
Multi-tenant access with row-level security, so each customer sees their own data and nothing else
Entitlement logic that matches how you sell, by customer, by region, by report, by tier
Dashboards designed for people who didn't buy an analytics tool and won't learn one
Embedding into your product or portal, so the reporting looks like part of what you sell
Performance work, so a customer-facing view still loads when the data set doubles
Documentation and training, so the next person to own it can extend it without calling us
Case studies
Structurely
Structurely's customers wanted to see how its AI agents were performing. We rebuilt the data pipelines, redesigned the dashboards and embedded them in Structurely's client portal. The reporting has since become an additional revenue stream for them.
The National Transportation Institute
NTI sells driver pay and benefits data to trucking companies. We built a Power BI product where each customer picks their own variables and sees their own comparison, with subscriptions controlling who sees what. The full story is on the Power BI page.
Career Now Brands
Career Now Brands wanted their customers to see how its AI recruiting system performs, without hiring a full-time Tableau developer. We built the customer-facing reporting suite and still support it on a fractional basis.
How a project works
Free working session
You show us what you have and where it's falling short, and we talk through how we'd handle it. No obligation.
Proposal
If it makes sense to keep going, we send a proposal with the scope and timeline. You can choose a fixed price for a defined project, or hourly if you'd rather have us as a fractional part of your team. A first customer-facing suite usually takes six to eight weeks.
Build and handoff
We check in with you along the way, so there are no surprises at the end. Then we document everything and train your team, so you can run it without us. Plenty of clients call us back for the next project, but they don't have to.
Questions we get asked
Can you embed dashboards inside our product?
Yes, with row-level security so each customer sees only their own data, inside your application rather than a link out to somewhere else.
We’re not a software company. We just have data people want to buy. Is this you?
Yes, and it’s some of our favorite work. NTI sells pay and benefits data. The problem is the same one a software company has: the value already exists, and getting it to the person who needs it takes manual effort every time.
Power BI or Tableau for something customer-facing?
Both work. Tableau tends to win when design is carrying the weight and the audience is your customers. Power BI suits parameter-driven products where someone picks variables and the layout responds, which is how the NTI product works. We build in both, and we'll recommend whichever fits your product.
Can customers only see what they’ve paid for?
Yes. Entitlement logic is part of the build, by customer, by region, by report, by tier, whatever your commercial model needs.
Our data is spread across several systems. Do we fix that first?
Usually at the same time. Most of the work on these projects sits underneath the dashboard, and you can’t ship customer-facing reporting on pipelines you don’t trust.
How long before we can put it in front of a customer?
A first customer-facing suite usually runs six to eight weeks, longer if the data layer needs substantial rebuilding. Either way, you'll have the scope and the cost before we start.
Who maintains it afterwards?
You, unless you’d rather we stayed. Everything is documented and your team is trained. Some clients keep us on a few days a month.
What are your customers asking for?
Show us what your reporting does today and what customers want from it, and we'll tell you how we'd build it.