We have the numbers but we learn them too late

Try thisSwitch views and watch what changes in real time.

I want this
dashboard.company.example
CZK 58.6MRevenue
12%
1,847Orders
8%
3.4%Conversion
0.3 pt
Revenue Trend12 months
SoftwareE-shopServices
By Category
Software
24.1M
E-shop
17.8M
Services
11.3M
Other
5.4M
Top Products
Pro annual licence
CZK 14.2M+18%
Implementation and training
CZK 9.6M+12%
Service contracts
CZK 6.1M−4%
Plus and minus zoom, zero shows the whole demo, arrows move the zoomed demo.
  • 3views: sales, traffic, operations
  • 3periods: 12 months, 30 days, 24 hours
  • 0connected systems; the data is made up

The demo runs on made-up data. Figures describe the demo set-up, not client results.

I want this
What it solves

Sales, traffic and operations in one interactive dashboard

Figures you know today, not after the month-end close.

Your data sits in accounting, the e-shop, the bank and the ad accounts, but you only see it together after the month-end close. The dashboard brings it into one place and keeps it up to date. In the demo, switch between sales, traffic and operations; the figures are made up but behave like real ones.

Who it is forManagement deciding from a monthly close

Delivered as part ofData analytics

What a manager gets

Opens the dashboard and sees current figures without waiting for a report.

Management

Data from every department in one place, alerts on unusual movements and a short summary of changes every morning.

How it worksStep by step

  1. We connect your sources

    ERP, e-shop, bank, ads, Google Analytics, your own database. Through ready-made connectors or interfaces, without replacing systems.

  2. We build the dashboard for you

    Key figures, trends, breakdown by branch, channel or product. One view for finance, another for store managers.

  3. Every metric is watched

    It spots a drop, an unexpected spike or a slow drift and reports it.

  4. An alert in Teams or Slack

    What happened, briefly, with a link to the detail. Nobody has to open the dashboard to find out.

  5. An explanation of why

    Which segments moved and whether it has happened before. Less meeting time spent asking why a number is what it is.

What it doesWhat it needs in production

  • Figures in real time

    Numbers move as orders and payments come in, not once a night.

  • Watching for unusual movements

    Every metric has its normal pattern. A drop or an unexpected spike raises an alert without hand-set thresholds.

  • Forecasts and scenarios

    Forecasts of revenue, cash flow and demand. What-if scenarios with adjustable assumptions for board meetings.

  • Questions in plain language

    Ask “why did revenue drop in Brno last week” and get an answer with the chart behind it.

  • Data from several sources together

    ERP, e-shop, payments, advertising and the product database in one layer, joined by customer, product or branch.

  • A morning summary

    What changed, what is unusual and what we suggest doing. In your inbox before the first meeting.

  • Traceable figures

    Every figure can be traced back to the source data. Access is set per team.

  • Board-ready exports

    A PDF in one click, a scheduled e-mail, a summary in Teams or Slack. The same figures everywhere.

Who it is forWhere it makes sense

  • Finance leadership

    Cash flow, margin, currency exposure, outlook. One view across accounting, banking and operations without an in-house analytics team.

  • E-shops

    Conversion, average order value, channel performance, repeat customers, returns. Straight from the shop, the payment gateway and Google Analytics.

  • Manufacturing and supply chain

    Line utilisation, defect rate, batch traceability, lead times. From your production systems without replacing them.

  • Multi-property hospitality

    Occupancy, average rate and reviews by property and channel. A portfolio summary for the owner.

  • Subscriptions and software

    Recurring revenue, churn, expansion, new-user activation. Straight from Stripe, the CRM and the product database.

  • Multi-store retail

    Store comparison, best sellers, footfall against revenue, shift planning. One overview for head office and store managers.

IntegrationsRuns on what you already have

  • PostgreSQL
  • MySQL / MariaDB
  • BigQuery
  • Snowflake
  • Google Analytics 4
  • Shopify
  • Stripe
  • HubSpot
  • Salesforce
  • ABRA / Pohoda export

The list is not exhaustive. We connect systems that are not here as long as they have an interface.

Want this in your business?

A no-obligation call with someone who builds these. We go through your brief and say what is realistic and what is not.

Book a consultation