Are You Falling Behind Competitors You Don’t Fully Understand?

Your competitors aren’t operating in the dark—and you shouldn’t be either. Relying on internal data alone leaves financial institutions blind to market shifts, customer sentiment, and competitor strategies. External data helps fill those gaps.

From social media and customer reviews to industry reports and pricing trends, third-party data provides a complete view of your competitors—so you can respond faster, smarter, and more strategically.

Why External Data Gives You the Edge

✅ Understand how competitors position and price their products
✅ Reveal sentiment trends that signal strengths or weaknesses
✅ Uncover gaps in the market your brand can fill
✅ Forecast competitor moves before they happen
✅ Save time by automating competitor tracking

How It Works

🔹 Use NLP and sentiment analysis to monitor how customers talk about competitors
🔹 Scrape competitor websites and review platforms to capture product and pricing strategies
🔹 Analyze media mentions and press releases to track product launches or pivots
🔹 Apply predictive models to forecast market shifts based on external data
🔹 Integrate APIs to pull real-time signals from social media and financial databases

Advanced analytics like topic modeling, classification algorithms, and Named Entity Recognition (NER) transform raw market noise into clear competitive insights.

Real-World Impact: What Better Competitive Intelligence Looks Like

JPMorgan Chase leverages external data—social media, market reports, and customer sentiment—to refine product offerings and marketing strategies for over 60 million digital users. The result: better-targeted campaigns and faster competitive response.

Gain the Upper Hand with Smarter Competitive Intelligence

Your competitors are already using external data to get ahead. Don’t let them outmaneuver you.

📩 Want to see how external data can power your competitive strategy?

👉 Contact Blue Street Data to build a sharper, faster competitive intelligence framework.

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!