Why is Storytelling Essential in Business Intelligence?
For Business Intelligence, there is more beyond just portraying data. Expressing what data stands for is crucial since it is something that impacts every area of our lives daily.
Of course, it has become more vital for business organizations to know how to manage and effectively use larger data sources. However, obtaining the inherent benefits is also crucial, through data exploitation by way of storytelling.
Why tell stories in business?
Storytelling is the best way businesses can improve Business Intelligence (BI) visual Analytical tools such as
Dashboards. Storytelling helps to interpret and explain the components (e.g., tables or graphs) of such visualization tools.
Nothing moves people better than stories. They do not only inform listeners but also inspire positive actions. Professionally constructed data stories help turn the primary data, the dispersion diagram, and the bar diagrams into compelling, actionable messages.
Like Steve Job aptly put it, “the most powerful person in the entire world is none but the storyteller.”
Data scientists and the people responsible for managing data may find their data results obvious, but what about their target audience? Businesses can close that wide gap in knowledge and employ analytical logic to guide their audience to align more with the company’s aims and objectives.
Let’s get one thing straight! Data storytelling is not the easiest of tasks. However, it is one thing business management teams cannot ignore. Businesses’ ability to tell stories with their data is now a necessary analytical skill in business best practice.
What are the requirements for effective data storytelling projects?
The basic requirements you need to make your business intelligence storytelling a successful project include tools like Microsoft Power Business Intelligence tool as a benchmark for data storytelling experience in the following order ;
It is not easy to export visualizations from one given source to another to create a great BI story. The process does not only take time, but the analytical tools used for exploration and creation of data visualizations are different from those used to create BI stories. The tools’ differences also reduce the chances of embedding the annotations or metadata generated during the analysis.
For creators to export it, the storytelling setting comprises the metadata. Then analysis instantly converted under fluid and integrated processes to reduce the time and effort needed, which is what Microsoft Power BI guarantees.
BI story creators must have the right tools that help in combining all the necessary materials to produce their story. These materials include interactive visualizations, BI reports, and smart ways of indicating the story’s structure, a sequence in story presentation, highlighting capabilities, and more. Microsoft Power BI in MS PowerPoint embedded these requirements.
These tools help achieve visual narrating, focusing on drawing attention towards particular visualization data, such as annotating, coloring, highlighting, and zooming (in and out). With Microsoft Power BI, you have full customization for compelling storytelling.
MS Power BI, you can achieve efficient visualization in the narrations that you shared. It also gives you full control regarding what pages can be viewed by users taking part in the report sharing process.
Reusing similar story structure
While BI data and report changes from one analysis to the other, the stories’ structure remains virtually unchanged. Therefore, users must be able to reuse the same story structure created in the same tool. As usual, MS Power BI makes provision for this.
With the right tools at your disposal, your business can achieve an effective BI storytelling project through the MS Power BI tool. It will make customers aware and keep your target audience engage with your business message.