Description: The business intelligence framework is a structure that supports the development and implementation of business intelligence solutions. This framework provides a set of principles, practices, and tools that enable organizations to effectively collect, analyze, and utilize data to make informed decisions. Data governance is an essential component of this framework, as it establishes the policies and procedures necessary to ensure data quality, security, and privacy. On the other hand, the concept of Data Mesh represents a decentralized approach to data management, where data responsibilities are distributed among different teams within the organization. This allows for greater agility and adaptability in how data is handled and utilized, facilitating collaboration and innovation. Together, the business intelligence framework, data governance, and Data Mesh form an ecosystem that enhances organizations’ ability to extract value from their data, thereby optimizing their operations and business strategies.
History: The concept of business intelligence began to take shape in the 1980s when companies started using data processing systems to improve decision-making. Over the years, the evolution of data technology and the increasing importance of data in business strategy led to the development of more structured frameworks. In the last decade, the Data Mesh approach has gained popularity as a response to the scalability and agility challenges in data management in large organizations.
Uses: The business intelligence framework is primarily used to enhance strategic decision-making within organizations. It facilitates the integration of data from various sources, allowing for deeper analysis and effective visualization of information. Data governance ensures that data is accurate and available to the right users, while Data Mesh enables teams to work more autonomously and collaboratively in data management.
Examples: A practical example of the business intelligence framework is the use of tools like data visualization platforms to create interactive dashboards that allow executives to monitor company performance in real-time. Regarding Data Mesh, organizations have implemented this approach to enable different teams to manage their own data domains, thereby improving agility and innovation in their processes.
