What Does Your Reporting Cost Today — And What Does Automation Deliver?

Just six inputs about your current data landscape. The model shows the effort saved, the annual impact, a realistic investment level, and the payback period.

Industry

Relevant Data Sources

9–15 sources

few30+

Data Quality Today

Frequent rework before every report

lots of reworkreliable

Reporting Process

Mostly manual, a few exports

manual in Excelautomated

Analytics Capacity on Team

2–3 people with analytics involvement

1–2 peoplededicated data team

Cloud Maturity

First workloads in the cloud

on-premiselakehouse with CI/CD

Your Business Case

Annual Impact

0€

Production and quality data usually sit separate from the commercial view.

Effort / Month

0 hrs

Payback

0.0 mo

Investment

0 €

Report Lead Time

9 → 4.4 days

Recommended Starting Point

Data Foundation & Engineering

No automation holds up without reliable data. First step: defined metrics and a resilient data model.

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Your inputs as a PDF: calculation method, assumptions, approach, and reference figures from comparable projects.

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