You bought the tools. Why aren’t they working?

Duncan Turner

CEO & Founder Montage

May 4, 2026

10 MIN READ

The investment has already been made

Most organisations have already purchased the platforms they need. Snowflake. Power BI. Tableau. These tools are powerful, scalable, and more accessible than ever. Yet the value they deliver varies widely across organisations doing broadly similar work.

So what separates those seeing a return from those still waiting for it?

The pattern is almost always the same

Organisations that get genuine value from their analytics investment tend to have something in common: their teams can actually apply the technology in context. They frame business questions clearly. They structure data appropriately. They can take ambiguity and turn it into analysis, and analysis into action.

Where that's missing, the symptoms are predictable. Reporting fragments because everyone builds their own version of the truth. Metrics drift because nobody owns the model. Time gets spent reconciling numbers rather than using them. Confidence in the data declines, and adoption follows.

This isn't a new problem. Across almost every organisation, the gap between technology investment and realised value comes down to people and how they work.

Capability is the lever

Uplifting capability is often the fastest and most cost-effective path to better outcomes. When teams strengthen their skills in data modelling, analytical thinking, and visual design, the nature of the work changes. People stop building isolated reports and start thinking in terms of shared datasets, consistent logic, and reusable models. The question shifts from "how do I build this report?" to "how should this problem be structured?"

In teams that use Power BI or Tableau, this shift is evident. Without structured development, it's common to see a proliferation of reports built for specific needs, which duplicate effort and apply inconsistent logic. With the right investment in skills, those same practitioners begin designing shared datasets and building dashboards that work across multiple use cases. The result is a more coherent analytics environment, not just a better-looking dashboard.

The compounding effect

As capability improves, teams become more self-sufficient. They ask better questions. They collaborate more effectively with subject matter experts. They spend less time troubleshooting and more time generating insight. Over time, this is what turns a platform investment into an actual business capability.

If your organisation has invested in BI and analytics technology but isn't seeing the returns you expected, the answer is unlikely to be another tool. Adding more platforms adds more complexity. Most organisations aren't constrained by what their technology can do. They're constrained by how well their people can use what they already have.

That's where the real work is.