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Has anyone else been diving deep into the "Guide: Optimizing TrendTapestry Dashboards for Maximum Utility"? I'm finding the section on visualizing data relationships particularly useful for identifying hidden correlations between different metrics that previously seemed unrelated.
My main takeaway so far is that less is often more. I initially cluttered my dashboard with every available widget, thinking I was being thorough. But after applying the guide's principles, I've streamlined it to focus on the 5-6 key performance indicators that really drive my understanding of our current trends.This has drastically improved clarity and reduced the time it takes to make informed decisions.
I'm curious, what specific optimization techniques from the guide have you found most impactful for your use case? And what challenges have you encountered while implementing them? I’m particularly interested to hear about anyone's experience with using conditional formatting to highlight anomalies.