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Dashboards and reporting

Dashboards that drive decisions.

Dashboards by role, automatic reports and alerts, designed to drive action rather than reassuring numbers.

100+
Awards
14
Global Markets
18+
Years
4
Partnerships
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Dashboard Mosaic

Visualize insights that matter.

dashboard-builder.sh
rendering
$ omnicliq viz --render
[query] Warehouse connected ✓ ready
[render] Charts generated ✓ 6 tiles
[cache] Dashboard cached ✓ 5m TTL
✓ Pipeline complete
Revenue by Channel
Monthly Revenue
287K
This Month
▲+12.4%
Conversion Trend
Goal Progress
75%
Top Products
Product A
$45K
Product B
$38K
Product C
$32K
Product D
$28K
Performance Score
82%
50+
Templates
Real-time
Refresh
3x
Decision Speed

Reports that change what happens next.

A dashboard that doesn't lead to action is worse than none: it adds noise, costs maintenance and trains the team to ignore the numbers. The problem in most BI isn't the data. It's that the decision never changes.

We don't start from charts but from the decision that has to be made. Leadership dashboards show only what matters strategically. Team dashboards (marketing, sales, operations) give clean numbers and the ability to dig in where needed. Alerts fire only when something really needs intervention.

The BI tool isn't the same everywhere. Sometimes you need an enterprise platform, sometimes lighter reporting for speed, sometimes analytics inside the tools the team already works in. The tool comes from the problem, not the other way round.

What changes for you.

01

By role

Leadership, marketing, sales, operations and finance get the dashboard they need, not copies of the same report with different filters.

02

Metrics for decisions

Every metric is tied to a decision. If it is merely informative and never leads to action, we question it or remove it.

03

Automatic alerts

Threshold and anomaly alerts that reach the right person at the right time. Not an email flood, but a signal you pay attention to.

04

Drill-down analysis

The path from the headline number to the cause is built in. You investigate without switching tools or waiting for an analyst.

05

Mobile-aware design

We design for the devices actually used. For executives that is usually mobile, with a simplified view.

06

Tool-independent

Dashboard logic is built on the shared definitions from data engineering, so reports stay consistent even if the BI tool changes.

How we work.

01

Decision audit

Which decisions are made, by whom, how often and with which numbers? In most projects we find the current dashboards answer the wrong questions.

02

Design

We design and prototype dashboards by role, with metrics, drill-down and alerts, and validate them with the people who will use them every day.

03

Delivery

We choose the BI tool, where there is no commitment yet, build the dashboards on the shared definitions, set up alerts and write usage guides.

04

Improvement

After handover we check which dashboards go unused. Often it's the decision process that changes, not the dashboard. We continue until reports drive decisions.

Politikos Shop

Politikos

+231%
Revenue
+225%
Orders
2
New markets
24/7
Automation
Read full case study

Common questions.

It depends on your current stack, your team's skills and how much self-service you need. Platforms for complex reporting and governance, lighter tools for independent analysis, or analytics embedded in other applications. We recommend on fit.
Usually yes. Most have the same problems: too many dashboards, too many metrics, inconsistent definitions and confusion about who looks at what. The audit often shows many simplification opportunities before anything new is built.
We work backwards from the decisions each user needs to make. Leadership dashboards answer leadership questions, operational ones operational questions. Metrics that don't inform a decision get challenged.
It works when the data model is reliable, definitions are consistent and users are trained to ask the right questions. These rarely exist without data engineering work first, which is why we usually build both together.
We review structure at least every quarter. Data updates as often as it meaningfully changes. We change the layout only when the decision context has really changed: redesigning for its own sake trains users to ignore dashboards.

See what drives action.

Let's talk about dashboards by role, automatic alerts and reporting built around the decisions that have to be made.

Request a dashboard audit