The Most Common Mistakes in Using BI Software

And How to Avoid Them

1. Insufficient data quality

If the data fed into BI software is incomplete, inconsistent, or incorrect, the analysis results will also be incorrect. This can lead to decisions being based on false assumptions. Consequently, a BI solution cannot be viewed as a trustworthy source for business decisions.

Solution: To ensure high data quality, data quality management should be implemented. This involves checking the data—for example, for completeness and consistency—ideally before it is fed into your BI software. This can be achieved through the use of automated data validation tools, manual checks, and continuous monitoring of data quality.

2. Lack of user participation

Often, the decision to implement a new BI system is made solely between senior management and the IT department. However, this approach overlooks the people who will actually be using the software later on. If, however, users within a company are not involved in the process of implementing a BI system from the very beginning, there is a risk that the solution will not meet their needs. It is particularly important to convince users early on of the many advantages and benefits of the new software so that they will use it regularly once it is implemented.

Solution: Involve everyone who will eventually use the BI software from the very beginning to ensure that the solution meets their needs and can deliver the results that are required. For example, conduct workshops, surveys, or feedback sessions with all users.

3. Inadequate infrastructure

BI software cannot function optimally without sufficient hardware and software resources. For example, if data loads and processes very slowly, this can frustrate your employees and cause them to stop using the solution.

Solution: Before implementing a BI system, make sure you have a clear understanding of the required infrastructure and set it up so that the software can run quickly and reliably at all times. This may mean you need to invest in high-performance servers, storage solutions, or networks. Alternatively, you can opt for a cloud-based solution. By having the software run in a Cloud Since it is cloud-based, companies do not have to procure and maintain expensive hardware and software resources. Instead, they use the cloud provider’s resources, which makes it easier to work quickly and reliably, as well as to load and process data swiftly. Using the cloud also enables companies to respond quickly to the growing demands of their business by simply adding or removing resources from their cloud provider.
Another advantage of cloud-based BI solutions is the flexibility they offer users. Companies can access their data and analyses from anywhere as long as they have an internet connection and are not tied to a specific location or time. However, there are also some disadvantages, such as reliance on a stable and secure internet connection, as well as costs that can add up over time. Additionally, with an external BI cloud solution, it is often not possible to calculate analyses in real time (online). It is important to thoroughly weigh the pros and cons in order to choose the best solution for a company in each case. The business intelligence software myPARM BI ^act can, for example, be operated both in the cloud and hosted locally on your premises. This allows you to flexibly decide which option is better suited to your needs.

4. Lack of control of data security

If data security is not given sufficient consideration, there is a risk that confidential data—such as customer or employee information—could fall into the wrong hands. Therefore, it is important to implement security measures to protect the data.

Solution: Implement encryption technologies, access controls, and data security policies. You should also ensure that only authorized individuals have access to the data and the system.

5. Unclear goals and requirements

If the goals and expectations for BI software are not clearly defined, it is difficult, on the one hand, to select a suitable solution, since it is not precisely specified what requirements it must meet to deliver the greatest possible benefit. On the other hand, it will be difficult to measure the solution’s success.

Solution: Companies looking to purchase or develop a BI solution should therefore create a detailed list of goals and requirements in advance and define specific use cases. Based on this, they can select or develop suitable software. Over time, new areas of application often emerge, or the requirements for the software change. To ensure that your BI solution continues to meet all requirements in the future, you should regularly review its performance and, if necessary, adapt the software to changing requirements and goals.

6. No uniform definitions of terms

Discussions often arise between different departments within a company regarding the accuracy of key performance indicators (KPIs) relevant to the business. This may be because individual departments have different perspectives or their own definitions of the KPIs. If the KPIs are not precisely defined, this can lead to misinterpretations or misunderstandings. Furthermore, this can result in data with the same key performance indicator from different departments being incomparable.

Solution: It is important to ensure that all users speak the same language so that data can be interpreted correctly at all times. Therefore, define key metrics or terms early on and communicate them company-wide. Also, be sure to use only these standardized terms in your reporting. To ensure that all employees in your company understand the key metrics correctly, you can conduct training sessions and, for example, create a glossary of terms that is made available to all users. It is also important to regularly review and update the definitions of key metrics and terms to ensure they remain relevant and accurate.

7. Rushed introduction

Companies should take sufficient time to select and implement new BI software. Nevertheless, many companies want to take advantage of the numerous benefits of a BI solution as soon as possible and therefore do not allocate enough time to analyze the current state, define requirements, research and test potential solutions, and thoroughly train employees. However, BI software can only be used to its full potential if all these steps have been carried out carefully.

Solution: Allow sufficient time for selecting and implementing BI software, and keep in mind that it will take some time before the software begins to yield results. It may also be helpful to implement the software in phases and initially focus only on the most important departments and requirements.

Conclusion

A BI solution can offer a company many benefits. However, mistakes in its application can undermine its success and even lead to poor decisions. If you’re aware of these mistakes, you can act thoughtfully and take appropriate steps to avoid them.

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