Comparison

Aragorn vs Visier

Both of us answer questions about your people, and the difference is where the answer comes from. Visier reads a governed model of your people data. So do we. This page is about who builds that model, and who keeps it right when a source system quietly changes a field.

Choose Visier if

  • You already have a governed model of your workforce
  • You have a data team to keep it current
  • External benchmarking is a hard requirement

Choose Aragorn if

  • Making the data trustworthy is the actual project
  • You want HR to own the definitions, not IT or a vendor
  • You want a finding to end in a change, not a chart
The thing underneath

Every people analytics platform reads a model like this. The question is who built yours.

Employees, positions, status, pay, org and movement, all related properly, permissioned, versioned, and repopulated on a schedule. It is the thing a dashboard is a view of.

Analytics Studio

AskAttrition by org

12.6%Attrition
Learn more
Agentic Studio

AskIs Ada on the new band?

Yes, effective 1 Sep.
Yes, effective 1 Sep.
One governed model of your workforcePermissions and history included.

Connected

EmployeePosition EventCompensation EventStatus Event

Generated for you

EmploymentOrganizationExit EventPromotion EventPromotion Event

Your own

Pay StatementsContractor SpendAny Custom Data
Integration StudioConnects your HR systems and populates the model above.WorkdayADPUKGICIMSGreenhouseSuccessFactors
6 systems connectedAttrition12.6%Agentic StudioAnswer

Visier needs one of these to exist before it can tell you anything. So does One Model, so does Crunchr, so does a dashboard your team builds in Tableau. None of them build it. That project is yours to fund and staff.

Aragornweeks from accessThe othersbuild the model first

Three to six months, usually with consultants, before the first number anyone believes.

01The difference

We build it as a byproduct, not as a project.

We are already moving your employee data between your HR systems, so the model exists because of work you already need done. That machinery is not theoretical: one People Systems team runs 883 changes across 64 connections on it, with no IT and no consultants. Analytics lands in weeks from the day we get access to your systems.

headcountOwned by HRattritionOwned by HRspan_of_controlOwned by HRregrettable_exitOwned by HR

In a vendor's model, every one of these is a change request.

02The difference

The definitions in it belong to your team.

The reason a headcount number gets argued with is that every team reporting on it defines it their own way. In Aragorn a definition lives with your HR team and changes the same day, not through a change request to a vendor. That is the difference between a governed number and a number somebody has to defend in a meeting.

A findingWritten backThe system that actsWritten back, on a schedule
03The difference

It has somewhere to write back to.

Because the layer underneath the model is ours, a finding can be written back into the system that acts on it, on a schedule, and into any system we connect to. A platform that sits on top of your data has nowhere to write to, and that is a consequence of where it sits rather than a feature nobody got around to.

Analytics StudioAttrition by org, 12.6%Agentic StudioYes, Ada moved to the new bandOne model. One definition of attrition.
04The difference

Two surfaces, one set of definitions.

The same model answers a dashboard and answers an employee in Slack, with the same permissions and the same lineage. Not an analytics tool with a chat feature bolted on, and not a chatbot guessing at a warehouse. One model, two surfaces, and an entity read by both is the same entity.

Side by side

What it takes to have one of these

What decides it
Aragorn
A people analytics platform
Who builds the governed model
We do, as part of the connection work you already need
We do, as part of the connection work you already need
Time to your first trusted metric
2 Weeks, from the day we get access to your systems
After that model exists
Who owns a definition inside it
Your HR team, in the product
Configured in the vendor's model
Changing a definition
Your team, the same day
A change request
When a source system changes a field
We catch it and fix it in the layer we run for you
Upstream of the platform, so it stays your problem
What reads from it
Dashboards and an assistant every employee can use, off the same definitions
The analytics platform
What it can write to
Any system we connect to, on a schedule
Nothing. It reads
Who runs it day to day
HR, with no IT and no consultants
A data team
What it costs
Typically 30 to 40 percent less than Visier, for the same scope
Module by module, so the price grows with the scope

Nine questions, and not one of them is about who has more dashboards.

Visieranalyst platform, keptAragornthe model and the action, underneath

Fix the foundation, add the action and the reach, decide about consolidation at renewal.

Coexistence

Keep Visier. We go underneath.

Visier is the most mature analytics platform in the category, and a data team that likes it should keep it. What it needs is a trustworthy model loaded into it, and that is the job we do.

Proof

We will not send you a benchmark report. We will build your metric on your model, in the room.

The fastest way to know is to watch it happen on your own data. One metric, your systems, twenty minutes.

One metric, built on your data

You name it. Headcount, attrition, span of control. We build it from your systems in the session and you check the definition against yours.

The same number in two places

One definition, shown in a dashboard and answered in Slack. If they disagree, you have found the thing this page is about.

A write-back, scheduled in front of you

Pick a system we connect to and watch a result get written back to it, on a schedule, while you are in the room.