Overview
Most M&A deals fail to capture projected synergies because organizations lack the data infrastructure to identify, quantify, and track synergy realization in real time. StarNET builds the analytics backbone that turns synergy targets from PowerPoint promises into measurable outcomes.
Root Cause Analysis
Why Synergy Capture Fails
- Vague Synergy Targets: Projections are based on high-level estimates without granular operational data backing.
- No Tracking Infrastructure: Post-close, there's no system to measure actual vs. projected synergy realization.
- Integration Chaos: Merging teams, systems, and processes without a data-driven integration playbook leads to value destruction.
- Time Decay: The longer synergy capture takes, the more value erodes — yet most organizations lack real-time visibility.
Use Cases
1. Revenue Synergy Modeling
Challenge: After acquiring a complementary SaaS company, the buyer needed to identify cross-sell opportunities across combined customer bases. Solution: Built a Snowflake-powered customer analytics platform merging CRM, billing, and usage data from both entities with ML-driven propensity scoring. Result: Identified $28M in cross-sell revenue opportunities within 90 days, with 35% conversion in the first year.
2. Cost Synergy Dashboard
Challenge: A manufacturing merger projected $50M in cost synergies but had no way to track realization across 12 workstreams. Solution: Deployed a real-time synergy tracking platform on Databricks with Power BI dashboards tracking 200+ synergy line items against targets. Result: 92% of projected synergies captured within 18 months vs. the industry average of 60%.
3. Workforce Integration Analytics
Challenge: Merging two financial institutions required rationalizing overlapping roles across 5,000 employees. Solution: Created a workforce analytics platform on Azure Synapse integrating HR, performance, and compensation data with org-design optimization models. Result: Completed workforce integration 4 months ahead of schedule with 15% better retention of key talent vs. plan.
Cloud Technologies We Use
- Snowflake — Unified data platform for merged entity analytics
- Databricks — ML-powered synergy identification and forecasting
- Power BI — Real-time synergy tracking dashboards
- Azure Synapse — Large-scale workforce and operational analytics
- Dataiku — Collaborative data science for synergy modeling
- SAP Analytics Cloud — Enterprise planning and consolidation