Tuesday 21 June 2016

3 Mistakes to Avoid When Deploying BI Tools

Business Intelligence is gaining tremendous popularity among organizations. It simply describes a set of methodologies that businesses use in order to convert raw data into useful information for better decision making. However, with a rise in the number of BI solutions, the probability of companies choosing wrong BI software for their business problems has also grown. So, in order to make the most of their BI investment, companies should avoid making mistakes while investing in BI software.

 Business Intelligence Systems

Here are a few mistakes to avoid when deploying BI tools:

1. Having a Lack of Business Knowledge: Projects that completely rely on a single BI tool are doomed to fail. No single tool is bound to solve all business problems. So, when selecting a BI tool, companies should first understand
  • Business problems that they are trying to solve
  • Goals they are trying to attain
  • BI tool they should use
2. Failing to Bring Everyone On Board: BI tools tend to fail most of the time because employees are completely clueless on how to use these tools. So, before buying any business intelligence tool, organizations should take each employee on board and
  • Address their concerns and queries about the BI tool
  • Show them how it will benefit the company and employees
3. Providing Insufficient Training: BI software is a complex structure that has lots of functionality in it. However, many businesses exhaust their entire BI budgets on either a few weeks’ training or software licenses. They fail to understand that it requires a lot of training to understand, how the software works. To avoid such mistakes, businesses should look for new ideas such as
  • Providing expert training in a slow and systematic way
  • Looking for someone technically trained who can explain software’s usage clearly
  • Scheduling training sessions in small units for better understanding
A reliable business intelligence consultant can help businesses avoid these mistakes, set up new BI software, ameliorate existing systems, and make strategic decisions.

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