How can I optimise dashboard performance when working with large datasets?

MerchantSpring is designed to handle large volumes of ecommerce data. However, organizations managing large product catalogs or long historical datasets may benefit from using certain techniques to optimise dashboard performance.

Optimising dashboards ensures that reports load efficiently and remain easy to analyse.

Techniques for Improving Dashboard Performance

Use Date Filters

Limiting reports to relevant date ranges helps reduce the amount of data processed.

For example:

• analysing the last 30 days
• reviewing monthly performance trends

Apply Product Filters

Filtering by specific product groups or categories can make reports easier to interpret and faster to load.

Focus on Relevant Metrics

Avoid displaying unnecessary metrics in dashboards. Focusing on the most important performance indicators simplifies analysis.

Break Analysis Into Segments

Rather than analysing the entire dataset at once, consider reviewing performance by:

• marketplace
• product category
• campaign type

Segmented analysis often provides clearer insights.

Notes: 

• Large datasets may require slightly longer processing times.
• Applying filters helps improve both performance and readability.
• Efficient dashboards help teams focus on actionable insights.