To use embedded SAC in SAP Digital Manufacturing, you use the 'Manage Dashboards' app.
With this app, you can gain deeper insights into your production processes by analyzing and visualizing your production data using dashboards that you can create yourself, thanks to the embedded SAP Analytics Cloud provided within this app. Your shop floor production data, delivered by SAP Digital Manufacturing, is stored in Manufacturing Data Objects (MDOs), which you can easily integrate into a dashboard.
In the Manage Dashboards app, you can select the data attributes that are most relevant for your analysis and visualize them in various types of charts or tables. This type of visualization is referred to as a "story". MDOs are preconfigured data sets that you can use right away without needing to build a data model for importing data.
On the entry page of the Manage Dashboards app, you find a list of all existing stories. A story is essentially a dashboard that gives meaning to your raw data, allowing you to structure it by applying filters and criteria. In this context, the terms "story" and "dashboard" are used interchangeably.
With this app, you can:
- Access stories for which you have the necessary permissions, and your own stories.
- Create a copy of an existing story, modify it as needed, and share it with other users.
- Create new stories from scratch or edit existing ones.
- Share stories with specific users by assigning predefined access levels.
- Delete stories that you own.
Information Note on the Following Exercises
Particularly in Unit 6, we don’t aim to explain everything about eSAC in SAP DM Insights from a theoretical perspective. Instead, we want you to experience it firsthand. Therefore, we have developed a real-world customer requirement that we aim to fulfill. This is why we build an eSAC dashboard from scratch in the upcoming lessons. The customer requirements are as follows:
A typical customer scenario involves the customer wanting a dashboard that displays the First Pass Yield (FPY) percentage along with the quantity of SFCs produced per order, the number of items identified as Not Okay (NOK), and the number of Okay (OK) items. Also, the customer desires a table below these KPIs displaying all SFCs where a nonconformance was recorded, including the operation, nonconformance code, user, and actual nonconformance code. Below this table, the customer wishes to see two different bar charts: One showing the various reason codes with their respective amounts, and the other showing the manufacturers of components where a nonconformance was recorded. Lastly, the customer wants an order filter to focus on specific orders.
The following lesson is organized according to the various steps needed to build the dashboard.