Business intelligence (BI) is a powerful tool for any organization, providing insights into the current state of the company and allowing teams to access data without technical knowledge. However, it's essential to ensure that your BI system is secure and that you have the right processes in place to protect your data. In this article, we'll discuss the best practices for securing a business intelligence system. For a successful implementation of a secure business intelligence system, it's important to get buy-in from across the organization.
Everyone needs to understand the importance of data security and be on board with the measures you're taking. This means having a plan from the start and making sure everyone is aware of it. It's also essential to provide immediate access to BI for everyone who needs it, so they can start using it right away. When it comes to data security, end-to-end encryption is a must. This ensures that all data is encrypted from the source to its destination, making it much harder for hackers to access.
It's also important to use a low-code ETL (extract, transform, load) process with more than 220 data transformations to prepare your data for analysis and generate reports. This no-code approach means that team members only need limited access to data sets to create channels and benefit from business intelligence software. Another reason to apply end-to-end encryption is the growing tendency to install business intelligence tools on employees' own devices, such as smartphones and tablets. To protect this data in the process of transformation, you should use a mobile device management tool that can securely distribute applications and data to verified users, facilitate login, install automatic security updates and patches, and also erase sensitive data if a device is lost. It's also important to make sure that your BI system is perfect at first and leave no room for error. This means using reports and data visualizations to extract findings from a variety of data sources and allowing teams in an organization to access business data without the need for technical knowledge in SQL or coding. Finally, you should use modern BI reporting best practices that have evolved along with data and analysis tools.
This includes migration to the cloud, the increase in SaaS applications, and the evolution of user expectations. By harnessing the power of big data and using descriptive and prescriptive analytics, you can make your business successful.
