Guide

How to reduce dashboard development time

Most dashboard time is not spent drawing charts. It goes on clarifying requirements, preparing data and reworking drafts. These practices address each of those.

Where the time goes

  • Clarifying what the dashboard is for and which measures it needs.
  • Finding, cleaning and joining the data.
  • Building measures and checking that they match existing reports.
  • Laying out charts, formatting and filters.
  • Rework after review, when the first version answers the wrong question.

Seven practices that save time

  1. Start with the decisions. Write down the two or three decisions the dashboard supports before choosing any chart.
  2. Agree measure definitions once. Keep a shared list of KPIs with their calculation and owner, and reuse it.
  3. Prepare data once, upstream. Clean and join data in a pipeline rather than inside each dashboard.
  4. Standardize layouts. Use the same structure for similar dashboards: KPIs at the top, then trends, then detail.
  5. Reuse components. Shared themes, measures and data sources mean less rebuilding.
  6. Review early. Show a rough draft to the audience in the first days, not a polished version after weeks.
  7. Automate the first draft. Let tools generate an initial layout of KPIs and charts, so analysts start from a draft.

What automation can and cannot remove

Which dashboard steps can be automated
StepWhat automation can doWhat still needs people
Data profiling and joinsSuggest relationships and draft pipelinesConfirm what the data means
Measure selectionPropose KPIs from the dataAgree definitions and owners
Charts and layoutGenerate a first-draft dashboardFit it to the audience and the decisions
Reports on a BI platformGenerate or convert native assets on supported pathsReview before publishing

Measure the improvement

Track the elapsed time from request to published dashboard and the number of review rounds per dashboard. Compare similar dashboards before and after a change, rather than relying on estimates.

How the DAXORA products help

DAXORA Studio prepares and validates data once, upstream. DAXORA Insight generates first-draft dashboards that analysts refine. DAXORA Forge generates native reports for supported BI platforms. Each can be used on its own.

See DAXORA Studio, Insight and Forge with your own use case

Tell us where your data lives and what decisions you need to support. We will show you how the platforms apply.