How CFOs in consulting can recover margin with Databricks

2026-05-12 · Source: Databricks · Field: Business & Management — Consulting & Professional Services, Operations & Process Management, Corporate Strategy & Leadership · Depth: Intermediate, medium

Summary

Consulting firms are experiencing a significant profitability problem, with EBITDA margins falling to 9.8% in 2024, the lowest in over a decade, and billable utilization at 68.9%. Despite an 8% growth in deal pipelines, revenue growth slowed to 4.6% year-over-year. The core issue stems from outdated finance technology stacks, with 72% of professional services finance leaders citing data integration as their top pain point. Key workflows like forecasting, reporting, invoice chasing, procure-to-pay, and partner equity modeling are hampered by data silos, dashboard proliferation, fragmented demand management, and excessive manual work. Databricks proposes a solution using Lakeflow and Lakehouse to create a single source of truth, enabling real-time finance applications and AI-powered "Genie" for complex queries, without requiring a rip-and-replace of existing ERP systems.

Key takeaway

For finance leaders in professional services struggling with declining margins and inefficient operations, you should prioritize modernizing your finance stack. Focus on a single, high-impact workflow like revenue close or unbilled WIP, quantify its cost, and explore unified data platforms like Databricks. This approach can significantly reduce manual effort, accelerate cash flow, and provide real-time insights, aligning your internal operations with the digital transformation advice you offer clients.

Key insights

Outdated finance technology and data silos are eroding profitability in professional services firms despite strong demand.

Principles

• Unified data platforms enhance financial accuracy and operational efficiency.
• AI-driven analytics can transform complex financial queries into rapid insights.

Method

Implement a unified data platform (e.g., Databricks Lakehouse) atop existing systems to integrate disparate data sources, enable real-time finance applications, and deploy AI for advanced analytics and workflow automation.

In practice

• Integrate Salesforce, SAP, Workday, and Concur data into a single source.
• Automate partner equity modeling to reduce manual effort and audit risk.
• Use AI agents for root cause analysis of financial variances.

Topics

• Consulting Firm Profitability
• EBITDA Margins
• Databricks Lakehouse
• Finance Digital Transformation
• Data Silos

Best for: Executive, Consultant, IT Professional

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Editorial summary, takeaway, and curation by AIssential. Original article published by Databricks.