At TGV, we believe the value of Business Intelligence (BI) is not just in the tools you use, but in how those tools change the way decisions are made.
When we begin a BI project, it’s common for teams to expect dashboards and reports. That’s part of it. But in our experience, when BI is done right, it becomes a strategic tool that improves how the business works. It brings greater efficiency, transparency, and speed to the entire organization.
One of the first results we often see is process validation. Building a data warehouse forces teams to trace how information flows through the company. That process highlights what is working and what isn’t, and where the gaps are. It also helps strengthen how data is governed and managed.
We approach BI in four key stages:
1. Assessing Information Maturity
We begin by assessing the organization’s data landscape. We look at where data comes from, how automated the processes are, and what risks might be present. This gives us a clear starting point and helps us build a practical roadmap that aligns with the company’s goals.For example, a shipping company wanted to compare key metrics across its offices in several countries. Political and economic differences made indicator calculations inconsistent, and in some cases, the formulas varied due to local practices. We didn’t just work with the data sources; we helped design a way to make results comparable across regions.
2. Building a Scalable Data Architecture
We design systems that bring together multiple data sources while keeping quality high and leaving room to grow. The data warehouse is the foundation of everything else.In one project for a retailer with operations in 35 countries, we built a scalable warehouse starting with a few test markets. Once we validated the approach, it was easy to expand to the rest.
3. Visualization and Access
We set up tools that make key data easy to see, understand, and act on. These tools are designed to work at every level of the business.In all of our projects, we build reports and dashboards with the user in mind. A logistics manager and a marketing director will not look at the same data the same way.
4. Moving Toward Advanced Analytics
Once the core systems are in place and running smoothly, we help teams move into more advanced work. That includes forecasting, simulations, and predictive modeling.Having solid, trustworthy data is essential. But being able to see how different choices might play out in advance is even better. That’s what turns BI into a real business advantage.
At TGV, we don’t see Business Intelligence as a standalone product. We see it as a way to drive change. Our goal is to help companies bring together the right tools, the right processes, and the right people—so their data becomes a strategic asset that supports growth.