95% of Microsoft’s commercial revenue flows through its partner ecosystem. And with 7,500 new partners joining them every month, it’s clear: partnerships and acquisitions drive growth—but only when properly vetted.
Too often, financial institutions rely on incomplete internal data to evaluate deals. External data—from market performance to cultural sentiment—reveals the deeper story that can make or break a partnership.
Why External Data Gives You the Edge
✅ Assess risk, growth potential, and cultural fit using external signals
✅ Identify synergies between teams, markets, and product strategies
✅ Forecast post-deal performance using market and competitor benchmarks
✅ Avoid misaligned acquisitions with early cultural or operational red flags
✅ Make faster, data-backed decisions with confidence
How It Works
🔹 Merge internal financial data with third-party indicators like market trends or consumer sentiment
🔹 Use regression models to forecast future performance of target firms
🔹 Apply machine learning (e.g. Random Forests) to evaluate financial stability and strategic alignment
🔹 Leverage sentiment analysis and employee reviews to assess cultural fit
🔹 Use topic modeling to identify emerging issues from customer feedback or media coverage
With the right blend of analytics and external data, financial institutions can turn subjective deal decisions into repeatable, data-informed strategies.
Real-World Impact: What Better Due Diligence Looks Like
Deloitte uses external data for partnership and acquisition research, helping clients identify ideal targets and avoid costly missteps. The result? Better-aligned deals that accelerate market expansion and minimize integration risk.
Don’t Gamble on Partnerships—Back Them with Data
The right data turns guesswork into strategic precision.
📩 Want to analyze acquisition targets and partnerships with more confidence?
👉 Contact Blue Street Data to unlock external datasets that power smarter M&A and partner decisions.
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