Data SciencePower BITableauData Analytics

From Raw Data to Decisions: Building Useful Dashboards

A dashboard is only useful if it answers real questions. Our approach to building dashboards in Power BI, Tableau and Excel.

XactGen··3 min read

Start with the questions

Before opening Power BI or Tableau, write down the three to five questions the dashboard must answer. Every chart should map to one of them.

Clean the data first

Most of the work happens before the first chart: fixing missing values, standardising dates and categories, and checking totals against the source.

Keep it simple

  1. One page, one purpose. Split big dashboards into focused pages.
  2. Put the key numbers at the top. Totals and trends first, details below.
  3. Use filters, not more charts. Let people slice by date, region or product.

Examples from our work

We have built dashboards for heart attack risk analysis, house price prediction, student performance and sales analysis. Each started with the same questions-first approach.

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