What's the ROI of consolidating finance systems into one data platform?

Summary

• The ROI of consolidating finance systems onto one data platform comes from replacing fragmented point solutions with a single governed source of truth, which speeds up the close and forecast, accelerates cash flow, cuts manual labor, and makes audits routine.
• On Databricks, the office of the CFO unifies transactional data from systems like SAP, Salesforce, Workday, and Concur, then layers AI-driven analytics on top so finance leaders get answers in minutes instead of weeks.
• Proof from Databricks' own finance team: revenue close dropped from 15 days to 8, and the team saved about 50 hours per person per month (1,280 hours overall), with full SOX audit readiness through Unity Catalog.
• Customer outcomes: a global consulting firm cut cash forecasting cycles by 3 to 5 days and reduced reporting-cycle FTE hours by 80%, where every day of DSO improvement accelerates roughly $37M in cash flow; a top global bank cut liquidity-reporting data processing from 10 hours to 8 minutes.
• The value drivers are a single source of truth (Lakeflow + Unity Catalog), natural-language analytics (Genie), and finance apps built where the data lives (Databricks Apps).

What's the ROI of consolidating finance systems into one data platform?

Most finance organizations run on fragmented point solutions: separate systems for the general ledger, CRM, HR, planning, and expenses, stitched together with spreadsheets. That fragmentation is where the cost lives, in slow closes, manual reporting cycles, reconciliation fire drills, and a recurring "what's the right number" problem. The return on consolidating these systems into one data platform comes from eliminating that friction: a single governed source of truth speeds up the close and forecast, accelerates cash flow, reduces the labor spent assembling reports, and makes audits routine. On Databricks, the office of the CFO unifies every transactional signal onto one governed layer and then runs analytics and AI directly on top of it.

Where the ROI comes from

• Faster close and forecast cycles. After unifying ERP, CRM, HRIS, and planning data onto one governed layer, Databricks' own Office of the CFO reduced its revenue close from 15 days to 8 and saved approximately 50 hours per person per month, or 1,280 hours overall.
• Accelerated cash flow. A global consulting firm used natural-language analytics to cut cash forecasting cycles by 3 to 5 days and reduce reporting-cycle FTE hours by 80%. At their scale, every day of Days Sales Outstanding (DSO) improvement accelerates roughly $37M in cash flow back to the business.
• Speed on regulatory and treasury reporting. By solving data fragmentation, a top global bank reduced regulatory data processing for liquidity reporting from 10 hours to 8 minutes, letting its treasury team respond to market volatility far more quickly.
• Margin and expense improvement. Nationwide Insurance replaced fragile spreadsheet-driven reporting with a data harmonization framework built on Spark Declarative Pipelines and serverless SQL, delivering a 5-percentage-point improvement in combined ratio and a 3-percentage-point improvement in expense ratio.
• Audit readiness. Because all revenue is calculated on one governed platform, Databricks' own finance team achieved full SOX audit readiness through Unity Catalog, replacing manual regulatory fire drills with systemic lineage and transparency.

Why Databricks for the office of the CFO

Databricks brings finance data, analytics, and AI together on one governed platform.

• A single source of truth. Lakeflow creates a live, governed view of source systems such as SAP, Salesforce, Workday, and Concur, and Unity Catalog handles lineage and access across all of them, so pipeline-to-GL reconciliation stops being a monthly fire drill.
• Answers in natural language. Genie lets finance leaders ask "why" questions, such as why one office trailed another on EBIT, pulling from actuals, pipeline, and headcount, with the SQL and source tables visible behind every number so partners trust the result.
• Persona-driven views. Heads of Finance, managing partners, and practice leaders each see the metrics they own, with enough granularity to end the shadow-P&L problem that sends people back into spreadsheets.
• Finance apps where the data lives. With Databricks Apps, a flagged invoice, a T&E breach, or an off-target practice area can trigger a workflow and a written-back approval in real time, so insight becomes action.

Getting started

• Read How CFOs can recover margin with Databricks for the finance-function reference pattern and outcomes.
• Read Beyond the spreadsheet: how Databricks is delivering the modern CFO for financial-services examples.
• Explore the Data Intelligence Platform to see how ingestion, governance, and AI analytics fit together for finance.

FAQs

What is the biggest source of ROI when consolidating finance systems?

A single governed source of truth. It removes reconciliation fire drills and the "what's the right number" problem, which is what drives faster closes, quicker forecasts, and accelerated cash flow.

How much faster can the close get?

Results vary by organization, but Databricks' own finance team reduced its revenue close from 15 days to 8 after unifying ERP, CRM, HRIS, and planning data onto one governed platform.

Does consolidating finance data help with audits?

Yes. Running all reporting on one platform with Unity Catalog lineage and access controls supports SOX audit readiness and replaces manual regulatory fire drills with systemic transparency.