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Data & Analytics Dashboards

Data gains value not where it is collected but where it is shown. With management dashboards, filterable reports and KPI strips we turn scattered data into a single, decision-ready screen. Grid and report experience distilled from 46 products is in play from day one.

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Data gains value not where it's collected, but where it's shown

01

Management panels & dashboards

Scattered data — sales, stock, collections, faults — tells no story until it's gathered on one screen. Management panels, with role-visible widgets, sum up the state of the business at a glance; the user doesn't 'run' a report, they open the dashboard.

  • Role-visible widgets
  • The business's current state at a glance
  • Dashboard experience distilled from 46 products
02

Filterable reporting & export engine

The detail a dashboard doesn't show lives in the report: filtered by date range, branch, product or customer; the result exports to Excel, PDF or CSV. Once a scheduled report is set up, the right person finds it in their morning inbox without pressing a single button.

  • Multi-dimensional filters: date, branch, product, customer
  • Excel/PDF/CSV export
  • Scheduled reports and email summaries
03

Large data grids & pivot tables

Scanning a list of thousands of rows isn't a job for a human; with sorting, grouping and pivoting, the data reorganizes itself. Trends and comparisons are computed with aggregation and window functions, without the page freezing.

  • Sorting, grouping and pivoting
  • Aggregation and window functions
  • No-freeze performance on large datasets

The scope beneath the dashboard

A management dashboard isn't a single screen; it's a chain from data collection to decision.

Management panels & dashboards

Panels that summarize the business's current state on one screen with role-based widgets.

Filterable, exportable reports

Reports filtered by date, branch, product or customer, exporting to Excel/PDF/CSV.

KPI & statistics strips

Strips that keep the business's few most critical numbers always visible and surface deviation at once.

Decision support & trend analysis

Analysis that benchmarks against last month, last year or a comparable unit, turning deviation into an alert.

Large data grids & pivot tables

A table layer that sorts, groups and pivots thousands of rows without freezing.

Scheduled reports & email summaries

Automatic report delivery that reaches the right person on a regular schedule, without a click.

How we build an analytics dashboard

01

Data model & source map

We map where each piece of data comes from and which decision it serves; sources are unified into one model.

02

Query & aggregation design

We build performant queries with aggregation and window functions, keeping response fast even on large datasets.

03

Dashboard & report development

We build the role-based dashboard, the filterable report and the KPI strip, and validate them with real data.

04

Scheduled delivery & monitoring

We set up automatic report delivery, monitor dashboard performance, and continue under SLA maintenance after launch.

Behind a management dashboard is a decision, not raw data

A number alone rarely means much; its meaning comes from comparison. Did it rise from last month, fall short of a comparable branch, drift from what was planned? Our dashboards make that comparison automatically — the manager doesn't guess where the problem is, they see it on the dashboard. This is a habit we've built again and again across 46 products; every product has its own grid, its own filter and its own reporting layer, but the kitchen is the same.

Visualization is a means, not an end. What matters isn't a chart looking pretty, but answering the right question at the right time — which is why we start every dashboard design by asking 'what decision will the person opening this screen make.'

  • Comparison is automatic, no guessing needed
  • 46 products, one shared dashboard/report kitchen
  • Every design starts with 'which decision gets made'
  • Visualization is a tool, not the goal

Where our dashboards leave a sector trail

The same grid, filter and reporting kitchen answers a different question in each sector.

Energy & facility

Consumption is tracked by building/floor/device, benchmarked against last month and a comparable building; deviation becomes an alarm.

Finance & insurance

Revenue, refunds and pending collections on one panel; line-level reconciliation with the provider's statement runs on the same screen.

Care & health

Floor, room and bed occupancy on one panel; new admissions, transfers and empty beds visible at once.

Public sector & field service

Open jobs are tracked on one panel; duration and completion rates are seen without phone traffic.

What ships as standard in every dashboard setup

Role-based management panels and dashboards
Multi-dimensional filters and Excel/PDF/CSV export
KPI and statistics strips
Period-over-period comparison and trend analysis
Large data grids and pivot tables
Scheduled reports and email summaries
Performant queries: aggregation and window functions
Post-launch maintenance and support with SLA

The technology we build on

Visualization
  • Charts
  • grids
  • pivots
Backend
  • .NET 9
  • PostgreSQL
Query
  • Aggregation
  • window functions
Export
  • Excel
  • PDF
  • CSV
2 hafta – 4 ay
Setup timeline (scope-dependent)
46
Sector products behind us
22
Industry verticals
.NET 9
Modern core stack

Let's turn your data into decisions

We'll listen to which decision you need to make on which screen and design your dashboard together. The first conversation is non-binding.