Modeling and Data
- In Model Preferences under Data and Performance, toggle on “Optimize Story Building Performance”. This prevents the automatic refresh of data during story design.
Tip: When editing a story, designers can manually refresh data when desired using the data refresh prompt in the builder.
- Whenever possible, choose to show unbooked data in a chart. This means that the software has to spend less time differentiating between booked and unbooked data.
- Avoid specifying Exception Aggregations in the Model (image below) and instead, use the Restricted Measures or Calculation functionality in your stories.
- Try designing your story using Responsive pages instead of Canvas or Grid pages. Responsive pages allow your story content to re-flow depending on the size of the screen it is being viewed on.
Tip: Responsive pages are the only page-type that can be viewed with the SAP Analytics Cloud Mobile App for iOS.
- Rather than designing a large story with many pages, try to limit your pages and create different stories for each use-case or audience.
Tip: If you want to refer to a related story, you can add a hyperlink to a different page, story, or external website.
- Try to keep the number of individual tiles on each page of your story limited to six or less
- Limit the number of content-rich tiles on each page like maps or charts with a high volume of data points. Overloading your pages with dense information will make it harder for your viewers to consume and may slow load-time.
Tip: Use pages to break up your story by category or type of information. Put your most-viewed content on the first page to make it easily accessible.
- When adding images to your pages ensure that the images are sized for web and are smaller than 1MB
Tip: SVG vectors image files still look great at a small file size. If you can’t use an SVG image file, PNG image files perform better than JPG.
- To ensure performance when working with blended data, avoid creating Linked Dimensions on Calculated Dimensions. Keeping the number of models linked in each story at a minimum will also improve overall speed and performance.
- If your model contains a lot of dimensions, choose particular dimensions to show in the explorer rather than showing them all. This cuts down on scrolling and makes it easier for you to find the dimensions you need.
Tip: When using the explorer to create a visualization, try de-selecting the “Automatically Synchronize Visualization” button. By turning off this feature you can change your measure and dimension selections without auto-refreshing the visualization. When you’re ready, simply click the “Synchronize Visualization” button to update your visualization.
- Story designers can choose to enable the explorer on charts and tables while in view-mode. When configuring this option, make sure to choose relevant measures and dimensions for your viewers to explore.
Charts and Tables
- Lowering the number of individual data points makes the information in your stories easier to read and analyze.
- When adding tables to your story, keep in mind the goal of the table and ensure that viewers can easily navigate the information. To help ensure readability, tables are limited to a maximum of 500 and 60 columns. Tables with more than 100,000 cells will not display.
- For a Dimension with a large Hierarchy and an ALL node it is recommended to use the chart drill capability for best performance. *new
- Location Clustering is automatically enabled when there are more than 5,000 points on a bubble layer. To even further optimize your bubble layer, switch on Location Clustering and choose 1,000 for the maximum number of display points.
Tip: If you are working with thousands of locations consider using the choropleth layer instead. This layer aggregates your data into shapes and you’re able to filter and drill-down on the shapes to get further insights into location data.
- To create a location-enabled model from a live HANA data connection, you must first prepare a calculation view with location dimensions. Location Data must be prepared through SAP HANA Studio. After creating a model based on the calculation view in SAP Analytics Cloud, you can add one or more location dimensions to map the Location Data imported from the live HANA system. For help, download instructions on Creating a Geo model from Live HANA Calculation View.
- Use filtering relevant for your target audience to limit the number of facts in your story to one million or less. The one million fact limit has been set purposefully to help you work with specific meaningful information rather than high-volumes.
- If you’re creating a story with many elements based on the same information, try adding story filter capabilities instead of individual filters for pages, charts, or tables.
Note: The exception to this suggestion is for filtering on information from models with linked dimensions. In these cases, it is best to add a filter to the individual tile when filtering on dimensions not used for linking.
Tip: Page filters that are displayed as tokens (eg. Product below) take up less space in your story and are easier to work with than expanded page filters (eg. Location below) with many members.
- When setting up your filter, try to select specific members rather than selecting “All Members”. Filters with fewer members are easier to use during analysis and when viewing a story.
Tip: For members with large hierarchies, you can limit the number of levels available in the filter to make things easier to navigate. It’s also helpful to design your story with the most used level displayed.
Tip: When drilling down, you can jump several levels at once to avoid loading levels that you are not interested in.
- The Cascading Effect feature is enabled on pages with multiple filters by default. When the feature is enabled, selections made on a story or page filter will affect related filters in the same story or page. Toggling off the Cascading Effect feature reduces query volumes and can speed up filter performance.
- When adding date and time range filters you’re able to choose between a dynamic or fixed range of time. Check the SAP Analytics Cloud help documentation for a detailed explanation of each option and tips on how to customize these filters.
When working with planning data, end users are mostly concerned with the numbers. When designing stories with planning information, make sure to limit the number of descriptive columns in your tables. This way users of your story will be able to access the information they need as quickly as possible.
Viewing your stories with the SAP Analytics Cloud Mobile App for iOS is extremely convenient. However, a mobile device looks and acts a bit differently than your other screens. There are a few ways that you can help ensure your stories are useful when viewed on mobile devices.
- Design your stories using Responsive pages. This is the only page-type that is accessible from the Mobile App for iOS.
- Make sure you have some free space on your device. The Mobile App performs best on iOS devices with 2GB or more of free space.
- Limit the number of data points and values displayed on charts designed for mobile. This helps to ensure that viewers of your story are able to navigate the information, no matter what size of screen they’re working with.
- For even more information on the mobile app, check out the SAP Analytics Cloud Mobile App Guided Playlist.
- Remove any unused pages in your story to help streamline your information and improve navigation for your users
- When exiting your story, accept the prompt to remove models that are not in use. You can always add new models when editing your story if you need to.
- To avoid saving uncompleted work, SAP Analytics Cloud does not automatically save your stories. So, remember to save changes that you’ve made when editing your stories before closing your browser.
Tip: To take advantage of performance improvements in each new release, you’ll have to open your stories in edit-mode and click save.
Re-Watch the Story Performance Tips & Tricks Webinar
We’ve been hard at work adding a number of features for speeding up your story performance. In this webinar, we’ll review recent performance enhancements, learn specific changes you can make to improve performance and end with a Q&A with SAP Analytics Cloud Product Manager Jacob Stark.