Are You Using All the Data Available to Strengthen Your Portfolio Strategy?

Your internal financial data only tells part of the story. In a complex global economy, market dynamics shift rapidly—and if you’re not incorporating external data into your investment strategy, you’re likely missing key risks and opportunities.

💡 63% of financial institutions are already adopting alternative data and analytics.
📉 Those doing so have seen decision turnaround times drop by more than 10%.
💰 Cost savings from third-party data platforms can reach up to 30%, according to BCG.

Why External Data Matters for Smarter Portfolio Management

By combining external data—like economic indicators, market sentiment, and alternative signals—with internal models, financial institutions can:

✅ Improve investment decisions with a 360° market view
✅ Detect emerging risks earlier with real-time data
✅ Strengthen regulatory compliance with documented insights
✅ Enhance returns through optimized, data-informed asset allocation
✅ Reduce operating costs by modernizing their data stack

How It Works

📈 Modern Portfolio Theory (MPT): Build more resilient portfolios by feeding external data—like inflation rates, social sentiment, or GDP growth—into MPT-based models.

🧠 Machine Learning: Combine decades of alpha research with third-party indicators to surface new signals and outperform the market.

📊 Quantitative Risk Models: Integrate macroeconomic variables and market data to stress-test portfolio scenarios and ensure regulatory compliance.

Real-World Impact: BlackRock’s Data-Driven Advantage

BlackRock’s Augmented Investment Management (AIM) platform uses 35+ years of research and a vast library of alternative data signals to inform real-time investment decisions. The result: scalable, customizable, and continuously improving portfolios that outperform.

📩 Ready to modernize your portfolio strategy with external data?

Let’s talk. We’ll help you identify high-value data sources to power better risk-adjusted returns.

👉 Contact Blue Street Data today.

Live Webinar

Is “Quality” Killing Your AI? Defining Data Fit for Strategic Success

February 18th, 2026 / 1:00 PM EST

Every data investment carries risk unless you know how to measure its “fit” for the mission. Many organizations assume that “high-quality” data is sufficient for AI and analytics, only to discover too late that data fit is the real determinant of success. In this live session from Blue Street Data’s Building with Better Data series, Andy Hannah and Malcolm Hawker unpack why data that works for BI can be dangerous for AI, leading to model failure, wasted spend, and lost trust. You’ll learn how to define, measure, and validate data fit so your models deliver reliable, business-aligned outcomes. Reserve your spot today!