What decisions do our customers or partners currently make that would benefit from data visibility?

The most valuable embedded analytics surface data at the point of decision — a client portal showing their own performance metrics, a partner dashboard showing pipeline status. The data already exists; embedding it creates stickiness.

Could analytics inside our product or portal become a differentiator — or even a revenue stream?

Embedded analytics shift from cost center to revenue driver when clients value the data enough to pay for access. If clients ask you to build custom reports, they are already telling you the demand exists.

What data are we already collecting about our customers that they would find valuable to see?

Most companies collect far more customer data than they share back. The gap between what you collect and what you surface is an untapped engagement and retention opportunity.

Data & Analytics Intelligence

Embedded analytics

By Mark Ziler · Last updated 2026-04-05

Embedded analytics means the dashboards live inside your existing workflow — not in a separate tool you have to log into. Instead of switching to a BI platform, opening the right report, and applying filters, the analytics appear right where you already work: inside your portal, your client-facing app, or your website. Each user sees only their data (via row-level security) without needing a separate login. For multi-location businesses, this means your franchisees see their location dashboard inside the portal they already use daily. No training, no extra tool, no additional license. The analytics come to them.

Go deeper

Your franchisees already log into a portal every morning to check their schedule, review work orders, and submit timesheets. Now imagine they see a performance dashboard right on that same home screen — their location's revenue trend, their technician utilization, their customer satisfaction score — without clicking a single additional link or remembering another password. They glance at it the same way they glance at today's schedule. That is the difference between analytics people use and analytics people forget exist.

The trap most companies fall into is building analytics in a separate platform and then wondering why adoption is low. You send login credentials, schedule a training webinar, create a how-to PDF, and six months later 15% of your managers have logged in more than twice. The problem is not the analytics — it is the friction. Every additional click, every separate login, every context switch reduces adoption. Embedding analytics where people already work is not a technical nicety — it is the single biggest driver of whether your investment in data actually changes behavior.

Questions to ask

Where do our location managers spend the first fifteen minutes of their workday — and can we put analytics there?
How many separate logins do our managers currently need to see their operational data?
If we embedded a performance dashboard in our existing portal, what metric would drive the most behavior change?