Datapack vs. Power BI

Power BI visualisiert Daten. Datapack strukturiert es.

Due Diligence benötigt keine Dashboards. Es benötigt strukturierte, normalisierte und revisionssichere Finanzdaten. Power BI ist eine Visualisierungsschicht – Datapack ist die davor liegende Datenstrukturierungsschicht.

Sound familiar?

Dashboards don't produce QoE

Power BI creates compelling visuals. But DD deliverables are QoE bridges, NWC analyses, and adjustment schedules -not dashboards.

No mapping rules or reuse

Power BI doesn't have GL mapping, chart of accounts translation, or reusable mapping rules. The data must be structured before it reaches Power BI.

Not built for deal workflows

Power BI is designed for ongoing reporting. DD is deal-driven, iterative, and time-bounded. Different workflow, different requirements.

Visualization is not analysis

A chart of revenue trends is not an adjusted EBITDA bridge. DD requires analytical structure, not just visual representation.

Measurable impact on every deal

Datapack directly improves the metrics your partners care about most: realization, utilization, and margin per deal.

0 days
Saved per Deal

On mapping, cleanup, and repetitive analysis

+0%
Realization Rate

Improvement across fixed-fee engagements

0x
Deal Throughput

More deals delivered with the same team

0%
Audit-Ready

Full traceability on every number

Trusted by deal teams

Transaction Services professionals on how Datapack improved their delivery.

We tried using Power BI for DD. Pretty charts, but no one could produce a QoE from it. Datapack does what we actually need.

Sophie Bernard

Sophie Bernard

Manager, Financial Due Diligence, Big 4 Firm

Häufig gestellte Fragen

Struktur zuerst. Visualisieren Sie es später.

DD benötigt strukturierte, revisionssichere Finanzdaten – keine Dashboards. Erfahren Sie, wie Datapack das liefert, was Power BI nicht kann.