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How long should a stakeholder’s analysis request take?

Schiphol Airport, one of the busiest airports in Europe, aimed to improve their data analysis and reporting efficiency by integrating SEINō into their workflow. This integration targeted key repetitive and time-consuming tasks within their marketing and analytics teams.

Schiphol

Aviation

Challenge

High time consumption. Tasks such as data collection, analysis, and reporting required significant manual effort and time.

Limited insight. Lack of efficient dashboarding for deliverability and A/B testing limited their ability to gain quick insights.

Stakeholder requests. Processing requests from stakeholders for detailed analyses was time-consuming and labor-intensive.

Wheel Deals (commercial)
5 h / task → 30 min / task
Stakeholder analysis requests
5 h / task → 30 min / task
Campaign data requests to analysts
2 h / task → 30 min / task
Deliverability dashboarding
No existing insight → 1 h / month
A/B testing dashboarding
2 h / task → 30 min / task

Solution

By leveraging SEINō, Schiphol achieved the following improvements:

Wheel Deals (commercial). Before SEINō: 5 hours per task. After SEINō: 30 minutes per task. This task involves data collection, analysis, and reporting. SEINō automated these processes, reducing time consumption by 4.5 hours per task, allowing the team to focus on strategic activities.

Stakeholder analysis requests. Before SEINō: 5 hours per task. After SEINō: 30 minutes per task. SEINō streamlined data refinement, collection, and analysis, saving 4.5 hours per request. This enabled quicker turnaround times for stakeholder reports.

Campaign data requests to analysts. Before SEINō: 2 hours per task. After SEINō: 30 minutes per task. The automation of data request and analysis processes resulted in a time saving of 1.5 hours per task, enhancing the efficiency of campaign developers.

Deliverability dashboarding. Before SEINō: no existing insight. After SEINō: 1 hour per month. Introducing a new deliverability dashboard provided critical insights previously unavailable, requiring minimal monthly maintenance.

A/B testing dashboarding. Before SEINō: 2 hours per task. After SEINō: 30 minutes per task. Automation of data collection and analysis for A/B testing saved 1.5 hours per task, allowing for quicker and more frequent testing.

Added value

Enhanced productivity. The CRM team could redirect their focus towards more strategic and high-value activities.

Improved insights. The introduction of new dashboarding capabilities provided valuable insights that were previously lacking.

Cost savings. The reduction in manual effort translated into cost savings, improving the overall ROI of the marketing and analytics operations.

Conclusion

The integration of SEINō into Schiphol’s workflow has led to substantial time savings and efficiency gains. By automating repetitive tasks and providing enhanced analytical capabilities, SEINō has enabled Schiphol to optimize their operations, focus on strategic initiatives, and gain valuable insights, driving better business outcomes.

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