SAP IBP Analytics Story

In the modern business world, making data-driven decisions has become more important than ever. SAP IBP Analytics Story is a powerful analysis tool that plays a critical role in supply chain planning and shaping business strategies. In this article, we will explore how the interactive visualization, reporting, and analytical capabilities of SAP IBP Analytics Story help companies make more informed and faster decisions.

SAP IBP Analytics Story is a tool used for data analysis and visualization within the SAP IBP platform. IBP Analytics Story allows users to create visual and interactive reports, charts, tables, and indicators for conducting analyses on business processes. This tool is especially used for tracking supply chain processes, monitoring performance indicators, and strengthening decision support processes.

Features and Benefits of SAP IBP Analytics Story:

1. Visual Analytics: Users can visualize data in graphical form to conduct faster analysis. For example, data such as supply chain performance indicators, order statuses, or demand forecasts can be visualized.
2. Interactive Reporting: Users can dynamically review reports and perform more detailed analysis on the data using filters and interactive elements.
3. Data Discovery and Trend Analysis: Analyses can be conducted to help businesses understand their current situation and predict future trends.
4. Supply Chain Management: IBP Analytics Story integrates data sets related to sales, demand, production, and inventory in supply chain planning and enables comprehensive analysis on these data sets.
5. Personalized Views: Users can customize their reports and analyses according to their needs. Different departments or roles may have distinct reporting and analytical requirements.

SAP IBP Analytics Story helps businesses make more informed, data-driven decisions, aiming to enhance the efficiency of supply chain operations.

Using Analytics Story

1. After logging into the IBP page, the relevant area can be opened by typing “Manage Analytics Story” in the search bar.

2. The steps for using Analytics Story are as follows:

• Create: Create a new Analytics Story.
• Copy: Copy an existing Analytics Story.
• Edit: Edit the Analytics Story.
• Opt Out: Opt out of an unused Analytics Story.
• Opt In: Rejoin an Analytics Story that was opted out of.

3. In this blog post, we will explain the step of “recreating” an Analytics Story. After selecting Create, fill in the information on the page that appears:

• Name: Assign a name for the Analytics Story to be created.
• Description: Enter a description for the Analytics Story.
• Category: Select a category for the Analytics Story. After completing these steps, click Next.

4. The next step is to select the data source. Choose the desired data source you want to work with and click OK.

5. After creating a new Analytics Story, you can configure the data source for the chart or table and add variables. To edit variables, click on the Edit Prompts option in the toolbar.

6. To make a variable more visible by adding it to the Story filter bar, select Add Story Filter/Prompt Variables and choose the variable you want to display.

7. The next step is to enhance the Analytics Story by adding images, shapes, text, links, RSS readers, and embedded web pages. This can be done from the area specified below.

8. The following image shows an example of an Analytics Story with the fields mentioned above added. The elements in the image are as follows:

1. Shape
2. Text
3. Image
4. Web Page

9. To add a chart or table to the created Analytics Story, click on the area marked with an arrow in the Insert section.

10. On the next page, select the desired fields to create a table or chart with the preferred properties. From the Currently Selected Chart option, make a selection from the right side to create the chart or table as required. Additionally, the Chart Orientation option determines the orientation of the chart.

11. In the created chart, if you want to work with a specific breakdown, the Measures values can be selected optionally. Then, from the Dimension option, select the field that you want to work with to define the categorical or qualitative characteristics of the data.

Conclusion

SAP IBP Analytics Story enables businesses to analyze and visualize their data in greater depth, significantly improving strategic decision-making processes. This powerful tool allows users to gain data-driven insights by utilizing different dimensions and measures. SAP IBP Analytics Story also makes it easier for users to understand complex data, helps optimize processes, and supports decision-making that enhances business performance. As a result, it enables businesses to take action more quickly and effectively, elevating data-driven business intelligence to new heights.

Ayşenur AKPINAR
aysenur.akpinar@s4c.com.tr