As data analysts, we’ve all been there – spending hours creating a beautiful dashboard, only to spend even more time explaining it to our stakeholders. It’s a frustrating cycle, and one that takes us away from actual analysis. But what if there was a way to automate this process? To create a ‘narration engine’ that could translate our dashboards into clear, concise language that everyone can understand?
This idea isn’t just about saving time (although that’s a big bonus). It’s about making data more accessible and useful to everyone in the organization. Imagine being able to provide executives with a clear, jargon-free summary of key metrics, or enabling self-service analytics for non-technical teams.
The concept is simple: a layer that sits on top of our existing BI tools, which can write a clear summary for any dashboard, understand company jargon, answer follow-up questions, and even proactively alert us to changes in the data. It’s not about replacing human analysis, but about augmenting it with AI-powered insights.
The benefits are clear: more time for actual analysis, fewer ‘what does this mean?’ moments, and more informed decision-making across the organization. But the question is, is this a real pain point for others, or just a problem unique to my team? Would you trust a tool to write summaries for leadership, or is that always a human job?
I’d love to hear your thoughts – is this a problem worth solving, or am I just dreaming of a world where dashboards can explain themselves?