Data Storytelling & why it matters !!

Data Storytelling & why it matters !!


We all know Data Visualization, in general term that describes visual communication.
To communicate information clearly and efficiently, an effort to help people understand the significance of data by placing it in a visual context.

It basically shows value in your data in visual form, presentation of quantitative information in a graphical form. Data visualization uses statistical graphics, plots, information graphics, and other tools, tools provide an accessible way to see and understand trends, outliers, and patterns in data.

Now a step further, managers need to convey a story too, Data storytelling can be a difficult task but if perfected correctly it can help drive your ideas (Presentations) into a successful Stories.

In today's digital world where data is all around the world, perfect data storytelling helps reduce noise and connects audiences throughout the presentation. It's all about binding your audience to a visual element in data presentation that it makes information perceived seamlessly.

With Data storytelling a simple visualization can have the biggest impact on your audience.

To achieve mastery in DATASTORYTELLING one need to following these critical points

EFFECTIVE COMMUNICATION STRATEGIES

Understanding of how to evaluate, interpret, and present data science results to your key audience regardless if it is a Stakeholder, Technical team or Customer

IMPLEMENTATION BEST PRACTICES

Understanding of the data and its analysis are critical challenges in addressing data visualization to bring out the clear message across the boards, this helps in avoiding audience distractions.

COLLABORATIVE SKILLS

For having a perfect data storytelling one need to bring out the brainstorm practical strategies to improve decision making with the help of data visualization.
At the most, better storytelling conveys a clear, and to the point presentations, which also makes Managers efforts in achieving success in an easy way.

As we all know different people have different opinions so to overcome this a manager needs to sync DATA and its audience interest to interpret the desired results.

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