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Dashboard Designing

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Metrics Dashboard Design
Designing Effective Metrics Management Dashboards

Designers of metrics management dashboards need to incorporate three areas of knowledge and expertise when building dashboards. They must understand the dashboard users’ needs and expectations both for metrics and for the presentation of those metrics; they must understand where and how to get the data for these metrics; and they must apply uniform standards to the design of dashboards and dashboard suites in order to make them ‘intuitive’ for the end-users. This paper outlines dashboard design best practices and design tips, and will help dashboard designers ensure that their projects meet with end-user approval. It concludes with a checklist of design …show more content…

This rule should guide the dashboard designer through every step of design, from data gathering to detailed composition of displays.

Metrics Dashboard Design

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Data Retrieval
Users need to have confidence in the integrity of the metrics they use to manage the business. They need to know that they are acting on facts, not guesses. If a metrics management solution cannot easily bring together data from disparate sources, it may be worthwhile considering another solution.

There is no easy formula that will guarantee the value of data brought to dashboards. Nonetheless, it is essential to determine the sources, ownership and quality of the data to be used before starting dashboard design. The following guidelines will help dashboard designers deliver the metrics dashboard users need and will use.
Identify KRAs and KPIs Users need to know their metrics so they can make informed decisions for their areas of responsibility.

A common—and effective—approach to understanding what users need to know is to work with end users to identify the key results areas (KRAs) for which they are responsible, then the key performance indicators (KPIs) they need to monitor and manage to improve performance in their areas of responsibility.
Get the Data Whatever Its Format or Location Users want metrics derived from complete data, no matter where that data is stored, so they do not have to guess.

Once the metrics users require have been

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