Build The View Each Team Actually Needs
Every function reads the business differently. Customizable dashboards let each team arrange its own tiles, filters and layout on top of the same governed data, without asking anyone to build it for them.
Layout Control
Saved Views
Data Foundation
Why Customizable Dashboards Matters
Every organisation eventually accumulates a backlog of dashboard requests. Each one is small, each one is reasonable, and collectively they consume the data team while the people who needed the view work around it in spreadsheets. The backlog is not a resourcing problem; it is a design problem.
Mimasa AI lets the people closest to the question assemble their own views by dragging tiles into place, describing a chart in plain language, or cloning a template that already works. Because everything is built on shared, governed models, self-service does not turn into metric drift — a dashboard built by a regional manager counts revenue exactly the way the CFO's does.
Saved filter views let one layout serve many audiences without duplication, and templates spread good patterns across teams instead of leaving each one to reinvent them. The result is fewer requests reaching the data team and, at the same time, more consistency in what the business looks at.
What You Get
The capabilities behind customizable dashboards in Mimasa AI.
Drag-And-Drop Layout
Resize and rearrange tiles until the layout matches how your team reads the numbers.
Saved Filter Views
Save a region, product line or period as a named view that loads with one click.
Prompt-Built Charts
Describe the chart you want in plain language and add it to the canvas without configuration screens.
Templates You Can Clone
Turn a good dashboard into a template other teams can copy and adapt to their own scope.
How It Works
From connected data to a working outcome, in four steps.
Start From Data
Pick the governed dataset the dashboard should read.
Add Tiles
Generate charts and KPI tiles with prompts, then arrange them.
Save Views
Store the filter combinations each audience needs.
Share Or Template
Publish to a team or save as a reusable template.
Why It Matters
No Build Queue
Teams assemble their own views instead of waiting on a BI backlog.
Freedom Without Drift
Layouts vary by team but the underlying governed data does not.
Reusable Patterns
A dashboard that works for one region can be cloned across the rest in minutes.
Where Teams Use It
Letting Teams Build Without Fragmenting The Data
The usual fear around self-service dashboard building is fragmentation — give every team the ability to build its own view and you end up with dozens of dashboards, each quietly counting revenue or customer count in a slightly different way. Mimasa AI avoids this by separating the two concerns cleanly: the governed data model is defined and maintained centrally, while the layout, filters and visual arrangement on top of it are left entirely to the team using them. A regional manager can build a view scoped to their own territory and a finance lead can build one scoped to their own reporting period, but both are reading the same underlying measure of revenue, so the numbers never quietly diverge.
Assembling a dashboard is deliberately closer to arranging furniture than to configuring software. Tiles are dragged into place, resized and grouped until the layout matches how a team actually reads its numbers during a Monday review or a weekly stand-up, and new charts can be added by describing them in plain language rather than working through a configuration screen. That lower barrier matters because the person who understands what a dashboard needs to show is usually not the person with BI tooling experience, and closing that gap is what actually clears the backlog rather than just speeding up the people already building dashboards today.
Saved views and templates are what make the approach scale beyond a single team. A filter combination that captures how one region wants to see its numbers can be saved and reloaded instantly, and a dashboard that works well for one function can be turned into a template that another team clones and adapts to its own scope. Good patterns spread across the organisation instead of being reinvented independently by every team that needs something similar.
Common Questions
Can two teams have different layouts on the same data?
Yes. Layouts and saved views are per team while the governed dataset stays shared.
Do I need design or BI skills?
No. Charts are generated from plain-language prompts and arranged by dragging.
Can I reuse a dashboard?
Any dashboard can be saved as a template and cloned with a different scope.