Samenvatting

This research analyzes and evaluates Aosenuma's current Business Development Department and gives a specific Business Process Improvement by establishing an Automated Databse System and Real-time KPI Tracking Dashboard.

As a framework, the approach employs Mixed Method Research and the Phase Consultancy Cycle. Methods of analysis include quantitative and qualitative methods, while data collection methods include interviews, secondary data use, desk research, and embedded research. These are expanded on throughout the report.

According to the findings of the study, the Aosenuma Business Development Team is in desperate need of deploying Business Data Analysis tools for more efficient operations. Specifically, with a focus on streamlining business processes, using a management system, and tracking and visualizing KPIs.

In conclusion, the organization does not employ a Business Data Analysis tool and has no funding for adopting one. This lack of tools and structure limits Business Development's ability to achieve its objectives. The project is guided by Aosenuma's Three-Year Plan, and target sub-objectives include:
- Systematizing the aosenuma virtual library
- Operation with a management system
- Developing a KPI-based reporting system

Ineffectiveness and a lack of internal competencies were investigated, and three main solutions were devised and assessed as a result.
1. Automated Data Entry Form
2. Automated Daabase and Sales Dashboard
3. Data Studio

The creation of a Google Sheets Automated Database and a Google Data Studio Interactive Dashboard were chosen and implemented based on the selection analysis.

As a result of the implementation, the Business Development process has been designed and optimized. KPI-based reports are already being used to develop data-driven objectives in strategic and operational meetings. The adaptability of the final solution enables for additional growth and development.