As we countdown to Observe Summit, we’re questioning if you’re getting the full story when you analyse social data…in fact, could the story you’re actually getting be more fiction than fact? 🤔
Join us for this LinkedIn Live as we explore why the insights from your social listening tool might not be as accurate as you think. 💥
🔍 The Problem: Poor data quality can lead to misleading insights, making it harder to understand your audience and make informed decisions.
🎯 The Solution: We’ll uncover how to identify and fix these data issues so you can get more reliable insights from your social listening tools that are easier to action.
💡 What You’ll Learn:
Discover the hidden dangers of poor data quality
Learn how to ensure your social listening data is always relevant and accurate
Get real-world examples of what can go wrong—and how to avoid it
Don’t let bad data steer your strategy in the wrong direction. Join us on September 10th for a very special LinkedIn Live.
It's impressive to see the integration of econometric modeling with predictive AI and NLP in Conversus PRISM. How do you see the role of unstructured data evolving in predictive brand intelligence?