Steering your business “by gut feeling” or with manual Excel exports has its limits. Power BI lets you gather your data into clear, automatically refreshed dashboards. But a good dashboard isn’t improvised. Here’s where to start.
Step 1: start from decisions, not data
The classic mistake is trying to display everything. Start backwards: which decisions do you want to inform? Tracking cash flow? Spotting churning customers? Steering production? Each dashboard must answer a specific business question.
Step 2: choose the right metrics (KPIs)
A good KPI is actionable. Five metrics that trigger decisions beat thirty that decorate. For an SME, a few classics:
- revenue and margin by period / product / customer;
- average payment time and outstanding receivables;
- sales conversion rate;
- production or quality metrics depending on your business.
Step 3: connect and clean the data
Power BI connects to almost anything: Excel, SQL databases, ERP, CRM, APIs. The real work isn’t the chart, it’s data preparation: cleaning, consistency, automatic refresh. A dashboard built on messy data is worse than no dashboard at all.
Step 4: design for clarity
- Prioritize: the essentials at the top, detail below.
- Declutter: one accent color, not a rainbow.
- Add context: a number alone says nothing; add a trend, a target, a comparison.
Mistakes to avoid
- The “gas factory” dashboard that nobody looks at.
- Manual updates: automate data refresh.
- Forgetting access rights: not everyone should see all the data.
- Confusing reporting with steering: the goal isn’t to observe, but to decide.
Our approach at D1 Consulting
We design decision-oriented Power BI dashboards: relevant metrics, cleaned and automated data, instant readability. From connecting sources to training your teams.
👉 Discover our Business Intelligence & steering offer or contact us.
