Business intelligence (BI) is designed to provide organizations with data-based information to inform decision-making; however, the implementation and use of BI systems can pose challenges such as data integration, data quality, user adoption, data security, scalability, and technical complexity. However, many organizations struggle with that due to the lack of internal data standards in different departments and business units. In some cases, the implementation of the software seems to have gone well, the project managers are convinced that the solution can do what was expected and access has been given to users, but the solution is not being used. For one client's project, his team had to bring high-level business leaders together in a room and get them to agree on the definitions of fundamental data, such as what constitutes a pair of glasses.
BI managers need to engage business leaders from all parts of the organization to help achieve a cultural change that prioritizes the use of data analysis to inform decision-making. Creating a culture based on data is a challenge, not only at the executive level, but also at the forefront, where the company interacts with the world around it. When a manufacturing company invests in a BI solution designed for service-base companies, problems are likely to arise. When people don't get value from a business intelligence (BI) solution, it can seem like the software is causing more problems than it deserves.
Modern BI initiatives are driven by business units that use self-service BI tools, data preparation, and visualization to gain insights. The following is a more detailed analysis of the main business intelligence challenges for companies, as well as advice from BI professionals on how to avoid and overcome them. HR business leaders quickly adopted the control panel, and the Fielding team created a simple training program for managers in other departments and business units to promote its deployment throughout the company. Despite this significant adoption rate, most organizations are likely to face business intelligence challenges during the implementation phase.
Companies won't be able to obtain information, respond to changes, manage the BI cycle, or make informed business decisions unless they have the ability to analyze data easily. To be successful in adopting a BI solution and taking advantage of the benefits that the solution can offer your company, it is important to know the most common difficulties in order to avoid them. But, ironically, data quality is one of the most important aspects of business intelligence that is often overlooked. This includes implementing BI best practices and keeping up to date with the latest developments and issues on the ground to take full advantage of the associated benefits.
In addition to traditional queries and reports, BI strategies often include mobile BI, real-time BI, augmented analytics, and other specialized applications, increasing deployment and management challenges.
