Potential problems in implementing Business Intelligence

User resistance is one big barrier to BI success; others include having to winnow through voluminous amounts of irrelevant data and poor data quality.
The key to getting accurate insights from BI systems is standard data. Data is the most fundamental component of anyBI endeavour. It's the building blocks for insight. Companies have to get their data stores and data warehouses in good working order before they can begin extracting and acting on insights. If not, they'll be operating based on flawed information.

Another potential pitfall is BI tools themselves. Though the tools are more scalable and user friendly than they used to be, the core of BI is still reporting rather than process management, although that's slowly beginning to change. Be careful not to confuse business intelligence with business analytics.
A third impediment to using BI to transform business processes is that most companies don't understand their business processes well enough to determine how to improve them. And companies need to be careful about the processes they choose. If the process does not have a direct impact on revenue or the business isn't behind standardising the process across the company, the entire BI effort could disintegrate. Companies need to understand all the activities that make up a particular business process, how information and data flow across various processes, how data is passed between business users, and how people use it to execute their particular part of the process. And they need to understand all this before they start a BI project, if they hope to improve how people do their jobs.