Hourigan

Omar Abou Harb

Decision Intelligence Advocate

Omar Abou Harb is a data analytics professional focused on helping organizations make better use of their data. His experience centers on data infrastructure, accessibility and analytics solutions that support informed business decisions.

Turning Business Intelligence into Better Decisions

Business intelligence becomes valuable when it moves beyond reporting what happened and helps leaders understand what is happening, why it is happening and what they should do next.

One of the biggest mistakes I see organizations make is treating BI as a reporting function. A dashboard can show that revenue is down, costs are increasing or a project is behind schedule. The real value comes from connecting those numbers to a business context and making the information actionable.

In my experience, effective BI starts with understanding the decisions the business needs to make. I then structure data around those decisions rather than forcing leaders to navigate through disconnected reports. The goal is simple. The right information, in the right context, at the right time.

Building Trust in Data

Trust is the foundation of any successful data strategy. If people question the numbers, they eventually stop using the data. That is why I see data quality as a responsibility that extends beyond the data team. Organizations need clear metric definitions, consistent sources of truth, appropriate governance and automated processes that reduce manual intervention.

Business leaders also need to help define what the data means. A technically accurate dataset can still lead to the wrong business decision if the underlying metric is poorly defined. Data also needs to be accessible.

People should not need a technical background to understand information and use it confidently. Ultimately, good data is not simply accurate. It is trusted, understood and relevant.

Integrating Data into the Workflow

I have found that adoption happens when people see that data makes their jobs easier and their decisions better. Giving everyone access to dashboards does not make an organization data-driven.

  The ultimate measure of success is not how many dashboards an organization has. It is whether leaders make better decisions because the right information is available when they need it.  

BI leaders need to understand how people work, which decisions they make and where data can help them.

The most effective solutions are often the simplest. They eliminate manual work, surface issues earlier or give leaders enough clarity to act immediately. Data also needs to become part of how the organization operates rather than something that belongs only to IT or analytics.

Strengthening BI with AI

AI will have a significant impact on BI, but its success depends on the quality of the data infrastructure underneath it. AI can make information more accessible by helping leaders ask questions in natural language, identify trends and analyze large datasets.

It does not eliminate the need for strong data foundations. If an organization has inconsistent definitions, disconnected systems, poor data quality or unclear ownership, AI does not solve those problems. It can make them harder to detect when unreliable data produces convincing output.

I see the future of BI as a combination of strong data architecture, automation, AI and human judgment. Technology can accelerate analysis, but leaders still need to provide context, challenge assumptions and make decisions.

Keeping the Business Problem at the Center

My advice is to start with the business problem, not the technology. Platforms, dashboards, data warehouses and analytics tools matter, but better decision-making remains the objective.

Organizations should identify the decisions they want to improve, the information leaders need and where that information breaks down. From there, they can build reliable data, consistent definitions, strong governance and scalable architecture.

BI should remain an ongoing business capability rather than a one-time technology project. The ultimate measure of success is not how many dashboards an organization has. It is whether leaders make better decisions because the right information is available when they need it.