Agile Business Intelligence (BI) is an approach to the fast and flexible development of analyses and reports based on the principles of agility. With areto’s agile BI project approach, companies are able to react quickly to changing business requirements and improve decision making.
Agile Business Intelligence (BI) is an approach to the rapid and flexible development of analyses and reports that is guided by the principles of agility. This approach enables organisations to respond quickly to changing business needs and improve decision-making.
In contrast to traditional BI methods, where analyses and reports are planned months or even years in advance, Agile BI relies on an iterative development process in which requirements are implemented in small steps and reviewed at short intervals. This enables companies to respond quickly to changing business needs and improve decision-making
An essential part of Agile BI is the collaboration between IT and business. In the agile process, these two areas work closely together to ensure that the analyses and reports developed meet the actual business needs. This requires a high level of transparency and communication between the parties involved.
Another important element of Agile BI is the use of flexible and scalable BI tools. These enable companies to create and change analyses and reports quickly and easily. An example of this is the use of self-service BI tools, which enable business users to perform their own analyses without IT support.
An equally important prerequisite of Agile BI is data quality. In order to make quick and reliable decisions, the data used must be of high quality. To ensure this, companies need to implement processes to ensure and monitor data quality.
Agile BI offers companies many advantages. By developing analytics and reports quickly and flexibly, companies can respond faster to changing business needs and improve decision-making. Through close collaboration between IT and business, requirements can be better understood and implemented, leading to greater acceptance of the solutions developed.
The use of flexible and scalable BI tools enables companies to react quickly to changing requirements and to create and change analyses and reports quickly and easily. This facilitates the rapid implementation of requirements and improves decision-making.
Another benefit of Agile BI is the ability to quickly respond to and resolve data quality issues. Implementing data quality monitoring processes can ensure that the data used is of high quality, which improves decision-making.
We follow the approach “Think Big – Start Small – Scale Fast” when it comes to our analytics projects. Always keeping the big picture in mind, we break down the tasks into small sections that we can implement quickly and sustainably together with our customers. But what does it look like, for example, when a dashboard is to be created? Here, we fall back on a proven standardised procedure, which includes everything necessary in one or two iterations, from the clarification of the use case to the preparation of the data, the development of information blocks, comprehensive testing and the final documentation. In doing so, we rely on a results-oriented and data-driven approach that quickly produces initial results. These lead to a fast ROI and form the basis for the next UseCases.
Conclusion: Overall, Agile BI offers companies the opportunity to react faster and more flexibly to changing business requirements and to improve decision-making. Through close collaboration between IT and business, the use of flexible and scalable BI tools and a focus on data quality, companies can improve their BI strategy and strengthen their competitiveness.
One size does not fit all. Not every tool is equally suitable for every customer.
But don’t worry: We will help you to select the right data analytics tool for you and to operate it successfully.
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