# Conclusion
Overall, this dashboard provides an effective and straightforward way to analyze failures and sensor data, supporting a better understanding of the cleaning process and serving as a valuable tool for collaboration between domain and data experts. The automation scenario enhances this setup by ensuring the dashboard stays up-to-date with minimal manual intervention, allowing users to focus on deriving insights rather than managing data flows. Together, these tools provide a strong foundation for deeper analytics and set the stage for implementing more advanced solutions, such as predictive modeling or optimization of the cleaning process.

 **Key outcomes of this sample project:** 
 - Discover how to leverage Dataiku’s no-code Prepare recipe and other visual tools to efficiently handle the messy reality of manufacturing data, ensuring data quality and consistency
 - Learn to build interactive dashboards in Dataiku to monitor key metrics and processes, transforming raw data into actionable insights for better decision-making.
 - Get introduced to Dataiku’s powerful automation features, like Scenarios, to schedule updates and ensure the manufacturing process data in your analysis remains current with minimal manual effort

# What's Next?
This sample project or parts of it, such as the dashboards or the data prep steps, can be used as a template to adapt to your company's needs and manufacturing processes. Now that you have started familiarizing yourself with Dataiku, we encourage you to browse our manufacturing business solutions, here in the [public gallery](https://gallery.dataiku.com/home/), to see if there are relevant use cases for you!