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Finance

Private equity-backed financial services firm, 50 employees

Monthly P&L reporting took 3 days and involved analysts manually reconciling data from accounting software, CRM, and spreadsheets — with numbers that often disagreed.

We architected a unified financial data model, automated ETL from all source systems, and built automated P&L dashboards in Power BI. The 3-day manual process now runs overnight, automatically.

Key result

1

source of truth achieved

The challenge

Monthly P&L reporting took 3 days and involved analysts manually reconciling data from accounting software, CRM, and spreadsheets — with numbers that often disagreed.

Placeholder — add detailed challenge description covering the business context, what was failing, and the cost of the problem to the client's operations.

Technical architecture

Source Systems

CRMERPProduct DBBilling

Ingestion

Python

Warehouse

Snowflake

Transform

dbt

Serving

Power BI

Placeholder — add a 2–3 paragraph explanation of the architecture decisions: why this stack was chosen, what alternatives were considered, and what made this approach the right fit for the client's constraints and goals.

Results

0%

Faster reporting cycle

0

Source of truth

0%

Automation achieved

0wk

Delivery time

“// TODO: Add real client quote about the outcomes and experience working with Bivonix.”

Client Name

Role · Private equity-backed financial services firm

Technologies used

SnowflakePower BIdbtPython

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