Dashboard Development

A data dashboard refers to a graphical data management software tool that displays, analyzes key performance indicators (KPI, and other data and metrics to keep tabs on the progress of a process, department, or even an entire business. You can customize the dashboard according to your department or company’s needs. A dashboard works by connecting to your tools, services, attachments, files, and APIs. It then displays extracted data using tables, charts, and gauges. Data dashboards are spectacularly efficient because they allow businesses to track and assess performance from several data sources at once.

5 tips for developing effective dashboards:


  • Keep it defined and focused – Start by engaging end-users in an online or in-person whiteboarding session. What questions do they have about the data? Every visual on the dashboard should be purposeful and intentional while answering an end user’s specific question. Make sure your users’ KPIs are clearly defined before you build the dashboard. Including stakeholders at the beginning of dashboard development will save you from a lot of reworking later on.
  • Have a solid data foundation – Meaningful visualizations aren’t possible without a solid data foundation. Data that is incomplete or unclean will result in problems and holes that must be fixed later in the pipeline. A good business intelligence software tool can prepare and/or format your data to generate a relational model for use in creating your visualizations.
  • Declutter – Remove any unnecessary data, and move necessary (but not currently relevant) data to a separate area of your dashboard.
  • Think “simple” – Wherever possible, split up your graph or chart into smaller, more focused parts.
  • Your interface should be clean, consistent, and understandable – It’s important that your data is clean, your logic is well-defined, and all your visuals are easy for end-users to understand and interpret. Dimensions and measures should be defined simply, logically, and uniformly. Hide any excess or unused columns (a good guideline is no more than 10 well-named columns in your end product) to make it easier for end-users to alter and explore the data.


Interested in visualizing your data, and the effectiveness of your marketing efforts? We have years of expertise in building enterprise dashboards for a variety of industries and brands. Let’s talk. Click to Contact Us.

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