From dashboards to decision boards: What growing data teams need to know

by | Oct 22, 2022 | Technology

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The fundamental question that all scientists — from elementary science students to NASA engineers and PhDs — aim to answer has evolved little since the early philosophers began to question the world around them. Evident in the ongoing babble of toddlers exploring their environment with new eyes, it is human nature to want to know “why.” 

This curiosity doesn’t leave us as we grow up; rather it morphs and evolves as the scope of our problems changes. In business, we don’t ask our teams why the sky is blue, but we do ask why a certain combination of strategies is the best approach to achieve our desired goals. We start with “why,” plot the best course of action, track and analyze KPIs and adjust based on the insights we find, before we do it all over again. In our ever-faster-moving business environment, executive leaders strive for a clear understanding of their business data, and to digest it quickly and execute strategies without slowing innovation. But this process cannot happen without support from data-savvy teams.

As businesses mature in their analytics journeys, their teams should evolve to present data in succinct ways that make sense for the context and message of the information being conveyed. In order to help business practitioners understand when it is appropriate to use which type of data visualization, we will break down each data visualization type. We will also explain when is the best time to implement it as you build a dashboard and strengthen your visual vocabulary — all in the context of distinguishing between decision boards and dashboards.

This practice is not …

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