Describing the Analytics

Objective

After completing this lesson, you will be able to create a comprehensive understanding of your business by integrating insights like on-time analysis and orders at risk

Analytics

Navigating Trends and Optimization

Order Management foundation offers predefined content as your starting point.

You can choose to use the SAP Order Management foundation pre-defined content as a template in the SAP Analytics Cloud application.

  • Out of the box data connection to SAC
  • Predefined Content for OMF

You can also create your own data connection and create the content on your own.

Analytics Evolution: From Asynchronous to Robust

In the evolution of analytics, we've moved from a form of asynchronous data uploading to Analytics Cloud to a more robust and secure variant. The reports on Analytics Cloud are undergoing a refresh, ensuring updated content for users. As we dive into the more intricate aspects, the focus is on building personalized reports, especially honing in on on-time performance and forward-looking orders at risk.

Flowchart illustrating the connection between SAC content, user browser, and order management foundation, including real-time analytics and order analytics persistence components.

Understand: On Time Performance

Here you see an example of real-time analytics.

Dashboard showing on-time shipment data from February 24 to March 1, 2022. Key metrics: On-time shipment rate: 96.1% (yesterday) and 96.7% (overall). Detailed breakdown by fulfillment site, delivery option, sales channel, and product.

Keeping your promise to the customer means delivering an order by the scheduled date and delivering it complete.

The On-Time Performance Story provides charts both:

  • shipment
  • delivery

Success percentages and latenumbers.

Filtered views include by:

  • Site
  • Delivery option
  • Sales channel
  • Product

Understand: Orders At Risk

Here you see an example of Order At Risk, identifying issues, before they become a problem.

Dashboard displaying shipment data including completion status, locations with late shipments, delivery options, carrier patterns, and order volume changes over time.

In order to ensure the promise is kept, it is critical to predict problems and prevent them.

The Order at Risk page shows ordersrunning late or with the potential to become late. Patterns of recent activity can be used not simply to resolve current issuesbut also to adjust your plan and avoidfuture problems.

Understand: Order Insights

This is an example Order Insights, here a reports of a standard list of orders.

Dashboard displaying SAP Order Management statistics, including top cities by order count, order statistics by product type, country-wise orders, and payment preferences.

Understanding your business requires having a view on what is actually happening.

The Order Insights Story provides order counts for a period by:

  • City
  • Country/Region
  • Product Type
  • Quantity
  • Payment Method
  • Payment Method by Country

Understand: Creating Reports

This is another example for creating reports.

Dashboard displaying SAP Order Management insights, featuring order counts by date, month, product type, and market. Includes line and bar charts, as well as a pie chart.

Understanding your business requires having a view on what is actually happening.

The Order Count Insights Story provides order counts for a period by:

  • Date
  • Product Type
  • Market
  • Orders in the last:
    • Month
    • Week
    • Day

Understand: More Advanced Reporting

If you don't want to use predefined analytics stories, you can import data into SAP Analytics Cloud to create your own content.

Setup

Note

Check out these extra links if you're interested in learning more or deepening your understanding. They're packed with further information to enrich your knowledge.

Log in to track your progress & complete quizzes