There are numerous benefits to modern analytics tools, but one I’d like to highlight here is the interactivity of a dashboard that allows for an engaging exploration of data.
In the gif example, we are bouncing around a dashboard that shows margin information for different customers. It’s a great way to see how a single customer stacks up against its peers to find insights that we can then action or monitor further. (Try doing that in excel!)
Outside of just looking cool, interactive data exploration is critical for several reasons. Here are a few key ones:
Discovery of Hidden Insights: Static reports can only show so much. When you can interact with your data, drilling down to different layers and viewing it from multiple perspectives, you often uncover hidden patterns and insights that would have otherwise remained unnoticed.
Efficiency: Traditional data exploration methods can be time-consuming, especially with large datasets. Interactive tools allow you to quickly navigate, filter, and manipulate your data, saving considerable time and effort.
Tailored Analysis: Every user might not be interested in the same aspects of the data. Interactive exploration allows individual users to focus on the areas that are most relevant to them, leading to more personalized and targeted insights.
Enhanced Understanding: Interacting with data helps to build a more intuitive understanding of what it represents. This can lead to better, more informed decision making, and it can also help when explaining your findings to others.
Data Quality Verification: Interactively exploring your data can also help you spot errors or inconsistencies that could potentially skew your analysis. This allows for early detection and rectification, ensuring the reliability of your insights.
In sum, the interactive exploration of data is a powerful approach that can significantly enhance the depth, speed, and quality of your data analysis. It's a process that enables curiosity, encourages discovery, and ultimately leads to more informed decision-making.
Please reach out if you have any questions on this topic or would like a demo of some of your data in an interactive dashboard like this… Cheers!
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