Dashboard Design Examples - Inspiration for Data Visualisation

A well-designed dashboard transforms raw data into actionable insights that directly lead to better business decisions. Yet in practice, many dashboards miss their mark: too many KPIs crammed onto one screen, unclear visualisations, or data that is not current enough to act on. The difference between a dashboard that collects dust and one that gets checked daily lies in the details: which metrics do you show, how do you present trends, and how quickly can a user find the information they need? By combining the right KPIs, chart types, and interactive filters, teams can make faster decisions and spot trends earlier than with traditional reporting. At MG Software, we start every dashboard project with a discovery session where we work with stakeholders to define which questions the dashboard should answer. This prevents building a beautiful dashboard that nobody uses. Below we share three examples of dashboards we built for businesses, each with a unique audience and set of challenges. From executive sales dashboards to operational logistics monitoring, each project illustrates what data-driven decision-making looks like in practice.

Sales KPI dashboard for management team

A B2B software company with a 25-person sales team had an executive dashboard built showing real-time revenue figures, conversion rates, and pipeline value per stage. Previously, the management team only had access to weekly Excel reports manually compiled by a data analyst, which frequently led to decisions based on outdated insights. The dashboard pulls data from Salesforce via the REST API and combines it with financial data from their accounting platform, making revenue and pipeline visible in a single view. The interface offers drill-down functionality: from the company overview, managers can click through to region, team, or individual salesperson to quickly trace anomalies. Role-based access ensures sales managers see their own team data while the executive board gets the complete overview. After implementation, the sales team reported that their weekly forecast meeting was reduced from 90 to 30 minutes, because everyone now works with the same up-to-date figures.

• Real-time KPIs with automatic data refresh every 5 minutes from Salesforce and the accounting platform
• Drill-down functionality from company overview to region, team, and individual salesperson
• Role-based access with different dashboard views per user role
• Automated pipeline visualisation with warnings for stagnating deals exceeding 30 days
• Comparison view showing current performance versus previous quarter and annual targets
• Weekly forecast meeting reduced from 90 to 30 minutes after dashboard implementation

Operational monitoring dashboard for logistics

A logistics company with a fleet of 80 vehicles implemented a live monitoring dashboard for their fleet and warehouse operations. Previously, planners relied on a combination of phone calls, WhatsApp groups, and an outdated scheduling system to coordinate deliveries, which led to cascading communication breakdowns whenever delays occurred. The dashboard displays delivery status, stock levels, and vehicle locations on an interactive map updated every 30 seconds. Automatic alerts fire when deliveries are delayed by more than 15 minutes, when stock levels fall below the critical threshold, or when vehicles deviate from their planned route. The implementation uses WebSocket connections for real-time updates and integrates GPS data from TomTom Telematics with the company's own warehousing system. The result: 34% fewer missed delivery windows and a 45% reduction in phone traffic between planners and drivers.

• Live vehicle tracking on interactive map with 30-second updates via WebSocket connections
• Automatic alerts for delays, low stock, and route deviations with configurable thresholds
• Historical trend analysis for route optimisation and seasonal capacity planning
• Integration with TomTom Telematics for GPS data and the internal warehousing system for stock status
• Colour-coded delivery status overview: on time, delayed, critical, and delivered
• Result: 34% fewer missed delivery windows and 45% less phone traffic between teams

Marketing analytics dashboard with multi-channel data

A marketing agency serving eight clients simultaneously built a centralised dashboard that combines data from Google Analytics 4, Meta Ads, LinkedIn Ads, Google Ads, and Mailchimp. The agency previously spent an average of 12 hours per week manually compiling monthly reports in Google Sheets, where formula errors regularly led to incorrect ROI calculations. The dashboard aggregates campaign data from five channels via their respective APIs and automatically calculates ROI, CPA, and ROAS per campaign, per channel, and per client. An attribution model shows which touchpoints contribute to conversions, enabling more targeted budget allocation. Custom date filters make it possible to compare periods, such as the current month versus the same month last year. The marketing team now generates client reports with one click instead of manual copy-paste, reducing reporting time by 85%.

• Data aggregation from five marketing channels via their respective APIs into a single overview
• Automatic ROI, CPA, and ROAS calculation per campaign, channel, and client account
• Attribution model revealing which touchpoints contribute most to conversions
• Custom date filters with comparison periods for trend and seasonal analysis
• One-click report generation for clients in branded PDF format
• Reporting time reduced by 85%, from 12 hours per week to under 2 hours

Key takeaways

• Effective dashboards display a maximum of 5 to 7 KPIs per screen to prevent information overload and maintain focus on what matters most.
• Interactive filters and drill-down functionality allow users to explore data at deeper levels without needing a separate report.
• Real-time data updates and automatic alerts enable proactive management instead of reactive reporting based on stale figures.
• Start every dashboard project with a discovery session to determine which questions the dashboard should answer, not which data is available.
• Role-based access ensures each user sees exactly the information relevant to their function and responsibility level.
• Performance optimisation through caching and server-side aggregation is essential to keep dashboards responsive with large datasets.
• Choose chart types that match the data: line charts for trends, bar charts for comparisons, and sparklines for compact KPI displays.
• Plan integration with existing tools early in the project so data sources are validated before the dashboard goes into production.

How MG Software can help

MG Software designs and builds custom dashboards that bring your data to life and directly contribute to better decision-making. Our process starts with a discovery session where we work with your team to define which questions the dashboard should answer and which data sources are needed. From executive KPI dashboards for management to operational real-time monitoring for teams on the floor, we create intuitive interfaces that make data-driven decision-making accessible to everyone. Technically, we work with React, Next.js, and visualisation libraries like Recharts and Tremor, combined with efficient server-side data aggregation. Every dashboard is optimised for speed so that even with hundreds of thousands of data points, load times stay under two seconds. Typical timelines range from 3 weeks for a simple KPI overview to 10 weeks for a fully integrated multi-source platform.