AI & BI use case · Business Intelligence

Management Cockpits

Revenue, margin and cash at a glance – updated daily instead of once a month.

What it's about

We build a central executive cockpit that automatically pulls key metrics from ERP, CRM and finance systems. Leadership always sees the current status instead of waiting for manually compiled monthly reports.

  • Faster decisions thanks to daily-fresh figures.
  • Fewer arguments about which number is correct.
  • Early warning when results deviate from plan.
Business case & ROI
−80 %

time spent building reports

täglich

instead of monthly data

x 3

more KPIs actually used

1 Quelle

of truth for all figures

The business case weighs monthly reporting hours saved against platform costs.

How we do it
  1. 01

    KPI workshop

    We clarify with leadership which figures are actually relevant for steering.

  2. 02

    Data connection

    ERP, CRM and finance systems are connected to a shared data base.

  3. 03

    Cockpit design

    We design dashboards that are clear at a glance, not a graveyard of numbers.

  4. 04

    Pilot phase

    A leadership group tests the cockpit in daily use and gives feedback for fine-tuning.

  5. 05

    Rollout & training

    The cockpit is rolled out company-wide with active adoption support.

5

Steps

6

Data sources

4

Stakeholders

From first data access to production – every step delivers a tangible interim result.

Data typically needed

ERP data

Revenue, cost and inventory data from SAP or comparable systems.

Financial accounting

Account data from SAP FI/CO or DATEV for cash and P&L figures.

CRM data

Sales pipeline and order intake from Salesforce or HubSpot.

HR data

Headcount, utilization and turnover from the HR system.

Budget figures

Budget and forecast values from Excel or the planning tool.

Market data

External benchmarks and industry figures for comparison.

Stakeholders
  • Executive management

    Steers the company with current instead of stale figures.

  • Controlling

    No longer builds reports manually in Excel.

  • Sales leadership

    Sees pipeline and target achievement without asking the sales team.

  • IT

    Operates one platform instead of scattered Excel reports.

Typical business value
01

Faster decisions thanks to daily-fresh figures.

02

Fewer arguments about which number is correct.

03

Early warning when results deviate from plan.

04

Less manual report building in controlling.

05

A shared understanding of the numbers across departments.

The data platform advantage

With a solid data foundation this use case gets faster, cheaper and far more stable.

Central data models prevent conflicting KPI definitions.

Automated connectivity removes manual Excel exports.

Governance ensures traceability for every KPI.

A scalable architecture allows adding new areas later.

Build a data platform
Synergies & positive side effects

KPI framework

Uses the same KPI definitions as the company-wide KPI framework.

Planning & forecast

Plan-vs-actual comparisons can be added directly to the cockpit.

Self-service BI

Departments can build their own detailed analyses on the same data.