Why Decision Confidence Hasn’t Kept Up With Data

Picture a leadership meeting you’ve almost certainly sat in. There’s a big decision on the table: a new market, a product bet, where to put next year’s budget. Everyone arrives with good data. The dashboards are current, the reports are clean, the numbers agree. And still, when it’s time to decide, the room goes quiet, a senior leader says “it depends,” and the call gets made on instinct.

In my last post I explained why we’re raising and what we’ve built. This one is about the problem underneath all of it. And I want to start with what the problem isn’t: it isn’t your BI.

What BI does well

Business intelligence has earned its place. It tells you what happened, reliably and at scale: revenue by region, pipeline by stage, churn by quarter. Most organizations have spent years getting their reporting right, and that work is worth protecting. Nothing in this post argues for replacing it.

But BI was built to report on data, not to reason with it. And there are parts of every dataset it was never designed to make clear.

What stays opaque

Think about the questions that come up right after the dashboard meeting ends:

1. How do many metrics interact at once? A dashboard shows a few measures side by side. The pattern that matters often only appears when you see ten of them together.
2. What’s hiding inside the averages? A healthy total can hold a handful of deals, customers or projects quietly drifting away from the pack.
3. What’s happening outside your data? A competitor’s new loyalty programme or a shift in the market won’t show up in your reports until it’s already in your numbers.
4. How would each option hold up? Reports describe the present. They don’t let you test what happens if you choose A instead of B.
5. Why did we decide what we decided? The reasoning behind a call rarely lives anywhere once the meeting ends.

None of that is a flaw in BI. It’s simply outside what BI was built to do. And because nothing else fills the gap, organizations fill it the old way: more meetings, more research, more spreadsheets, more decks, and more meetings after that. Data volume has exploded. Decision confidence hasn’t kept up, because the opaque parts are exactly where the decisions get made.

What Strategic Decision Intelligence adds

Strategic Decision Intelligence, or SDI, is the layer we believe belongs on top of BI and decision intelligence tools. It doesn’t replace them. It starts from the data and reporting you already have and adds three things to the way organizations decide: rigor, traceability and human judgment.

In practice, it picks up where the dashboard leaves off:

1. Start with the question, not the dashboard.
2. Bring in the data you already have, from the reports and exports your team already trusts.
3. Discover the patterns across many metrics at once.
4. Detect the signals that matter, inside and outside the organization.
5. Identify the opportunities those signals point to.
6. Simulate scenarios to see how each option holds up.
7. Make the decision, with the reasoning visible.
8. Keep a memory of that decision, so it can be revisited, refreshed and learned from.

That last step is the one most organizations skip entirely. A decision that carries its reasoning with it is living infrastructure, not a finished deck. When the market shifts, you can see which assumptions changed and update the decision instead of starting over.

The practical point is that SDI is incremental. You don’t rip anything out, retrain your analysts or rebuild your data stack. You keep your BI doing what it does well, and add a layer for the questions it can’t answer on its own.

Why human judgment stays at the centre

AI makes this layer possible in a way it wasn’t a few years ago. It can surface the patterns, draft the analysis and model the scenarios far faster than a team can by hand. But speed without accountability just produces confident-sounding answers nobody can trace.

So in SDI, AI does the heavy lifting and people make the calls. Every AI draft is reviewed and approved by a person, and the reasoning stays visible. The goal isn’t to automate strategic decisions. It’s to help the people making them see further into their data and show their work.

Why now

Organizations are already moving budget in this direction. By the figures in our investor research, 56 percent of IT executives are increasing budgets for advanced decision-making technology, and 48 percent of mid-size and large enterprises are prioritizing AI-enhanced decision support. Most of them aren’t looking to replace what they have. They’re looking for what comes next on top of it.

Where Plum fits

Plum products, like Quarus and Platypus, are built as that additional layer. Quarus takes the spreadsheets and exports you already produce and turns them into an interactive 3D view where many metrics can be seen at once, so outliers and hidden patterns become visible. Platypus takes it from there: bringing in outside signals, weighing opportunities, testing scenarios and keeping the reasoning behind the decision. I went through both products in more detail in my last post. What matters here is that neither asks you to give anything up.

What we don’t know yet

I’d be doing the same thing I’m criticizing if I didn’t show the other side of our reasoning. New categories take time. Organizations ought to recognize the gap, give it a budget line, and trust a new layer in how they work. We believe consultancies and professional services firms will get there first, because deciding well for clients is what they sell. Close behind them are SMEs with the resources to support strategic decision-making full time, where a single well-informed call can shape the whole year. Whether that happens as quickly as we expect is exactly what our pilots are meant to find out.

See it for yourself

The best way to judge whether SDI adds something to your BI is to watch it work on real data. Join the first Plum Forward: Beyond BI session, held virtually on Wednesday, October 14, at 11:00 AM ET. You’ll find the registration link in the first comment below. If you’d rather talk sooner, meet with us directly ahead of our first close on November 6. We’re running a rolling close, so the round stays open after that date too. You can reach me at gary@plumsg.com or plumsg.com/contact.

Keep your dashboards. They tell you what happened. SDI is for everything they can’t show you, and for deciding what to do about it.

Gary Kivenko

CEO, Plum