Dashboardsthatdrivedailydecisions.
We build dashboard systems with clear KPI logic, automated updates, and high user adoption. This replaces manual reporting with reliable decision support.
Why this matters
Dashboards fail. Not because of the tool.
Three numbers that show why: and what a dashboard needs to be used every day.
< 0 %
of BI dashboards are used regularly
Fewer than one in five deployed business intelligence dashboards is still opened regularly after the first month. The most common reason: the dashboards do not answer the questions users ask every day.
0 %
of BI investments fail to deliver expected ROI
Three in four companies report that their BI investments did not deliver the expected return on investment. The main causes are poor data quality, lack of user adoption, and dashboards not designed for real decision-making processes.
0.0 hrs
per week on manual report creation
Managers and controllers spend on average 5.2 hours per week manually creating and preparing reports. Time that can be fully recovered through automatically updated dashboard systems.
The reality: and what is possible
Status quo in most companies → With a user-centric dashboard system
Without user-centric dashboards → current reality. With real decision dashboards → target state.
Status quo in most companies
Dashboards were introduced but are barely used: because they answer the wrong questions or the numbers in them are not reliable.
Managers have no current overview of the most important metrics without asking someone or waiting for a manual report.
Every small change to the dashboard requires a ticket to the external provider, a quote, and a waiting period.
With a user-centric dashboard system
Dashboards are opened daily: because they answer the right questions, for the right people, on reliable data.
Every manager has access at any time to the metrics relevant to their role: daily fresh, without manual intermediate steps.
New metrics and views are added internally. Your team owns the system: no ongoing service contract required.
What a daily-used dashboard system changes in operations
Not more dashboards: but dashboards that get opened daily and deliver real decision foundations.
What changes operationally
Dashboards designed from decision questions are opened daily: not just once after launch.
Automatically updated dashboards replace manual preparation: managers have access to current numbers at any time.
A documented metrics framework creates a shared numbers foundation: and eliminates debates about contradictory values.
Results vary by starting point. All figures from completed, anonymised projects.
Dashboard usage rate 3 months post-launch
+4×Dashboards designed from decision questions are opened daily: not just once after launch.
Time for weekly management updates
−92 %Automatically updated dashboards replace manual preparation: managers have access to current numbers at any time.
Metrics without unified definition
−100 %A documented metrics framework creates a shared numbers foundation: and eliminates debates about contradictory values.
Our approach: ADET methodology
From decision question to daily-used dashboard
Understanding user questions first
Every dashboard project starts with conversations: with the people who will use the system daily: which decisions they make, what information they need, and why previous visualisations have not worked. Only this understanding enables a dashboard that is actually used.
Our approach: ADET methodology
From decision question to daily-used dashboard
Understanding user questions first
Every dashboard project starts with conversations: with the people who will use the system daily: which decisions they make, what information they need, and why previous visualisations have not worked. Only this understanding enables a dashboard that is actually used.
Structure before aesthetics
We define which metrics for which role, in what structure and with what interactions. Each metric gets a documented definition: calculation, data source, update frequency: before the first layout is created.
Data foundation, pipeline, visualisation
We build in three layers: data foundation, metric transformation, visualisation: each validated before the next begins. Dashboards are developed iteratively in close collaboration with future users.
Independent use & extension
Complete user documentation, technical documentation for administrators, and role-based training: so new metrics can be added internally without external help. The goal is not go-live: it is usage six months later.
„A company invested six months and considerable budget: and three months after go-live nobody opened the dashboard anymore. Not because of poor technology, but because it was designed from the data, not from the questions of the users."
Dominik Wörz
Founder, alpLytics · Vienna
What you concretely receive
Concrete deliverables
Typical project results
> – %
dashboard usage rate after 3 months
up to – %
less manual reporting effort
– %
internal adaptability without provider
Tools & Technologies
Proven technologies
Hover for details · We work tool-agnostically.
100 % Open Source
Keine Lizenzkosten, kein Vendor Lock-in
DSGVO-konform
Alle Tools laufen auf EU-Servern
Toolagnostisch
Das beste Tool für Ihr Problem — nicht mit Provision getrieben
bewährte Tools
in 5 Kategorien
Technologie-Rail
Airbyte
IngestionData integration from 300+ source systems: open source, no vendor lock-in
Typischer Einsatz
Data integration from 300+ source systems: open source, no vendor lock-in
Warum gewählt
Ausgewählt für Stabilität, Wartbarkeit und Team-Fit.
Stack-Fit
Quellsysteme verlässlich anbinden
Why alpLytics
What makes our dashboards different
No dashboard without data foundation. No go-live without training. No solution without internal adaptability.
Designed from user questions
Design follows decision logic
alpLytics starts every dashboard project with conversations with future users: not the tool. What gets visualised and how is determined solely by the decisions these people make every day.
Reliable data foundation first
No dashboard over unreliable data
A dashboard whose numbers are sometimes right and sometimes not is worse than no dashboard: because it costs trust. alpLytics never builds dashboards without a validated, documented data foundation.
Internal adaptability
No ticket for every change
Dashboards are built and handed over so your team can add new metrics, filters, and views internally: without a ticket to an external provider. New metric or new filter? Your team handles it.
Who is this for?
Typical profiles
We prioritise the roles where missing data visibility causes the greatest operational cost.
CEO
Typical profile
Mid-size company, 50–500 employees
Dashboard fit is clarified in a 30-minute initial consultation.
CFO
Typical profile
Mid-size company with manual reports
Dashboard fit is clarified in a 30-minute initial consultation.
Head of Operations
Typical profile
Manufacturing company
Dashboard fit is clarified in a 30-minute initial consultation.
Mid-size company, 50–500 employees
No current, reliable overview of the most important metrics: without having to ask someone or wait for a manual report.
Mid-size company with manual reports
Monthly reports are produced through hours of manual work and still regularly contain errors. No real-time access to financial metrics.
Manufacturing company
Operational metrics from production, warehousing, and logistics are not centrally visible. Deviations are recognised too late.
Frequently asked questions
What clients usually ask
Next step
In 30 minutes you will know why your dashboards are not used: and what it takes.
Free initial consultation: we analyse your current visualisation situation and show what a truly used dashboard system requires. No tool pitch.
No automated follow-up · No newsletter · Just an honest conversation