Izertis SA

04/30/2024 | News release | Distributed by Public on 04/30/2024 00:37

Meet the new SAP feature: replacing models in stories

Posted on 30 of April of 2024 .

Meet the new SAP feature: replacing models in stories

For those of you who follow SAP Analytics Cloud (SAC) technology news closely, you will no doubt already be aware of one of its latest Data Visualisation and Dashboard Design features. With the latest release of SAC, QRC2.2024, comes a long-awaited feature, the replacing models in a stories, as part of SAC's Optimised (Unified) Experience.

In this article, we look at the model replacement in stories feature and how it revolutionises the dashboard design process in SAP Analytics Cloud, offering users a flexible and efficient solution for updating data models in stories.

What is the "replacing models in stories" feature?

This upgrade allows organisations to adapt to changing business needs and data sources more efficiently

Model replacement in stories is a powerful new feature that allows users to seamlessly replace the underlying data model of their stories without losing any existing visualisations, filters or formatting.

This innovative feature allows model replacements to be made transparently on a model basis, fitting with the same type of data source and structure dimensions. This brings an end to the time-consuming process of rebuilding dashboards, widget by widget, during the transition from prototyping to construction and validation phases.

This upgrade allows organisations to adapt to changing business needs and data sources more efficiently, ensuring that their analyses remain accurate and up-to-date.

Main benefits of replacing models in stories

The main benefits of replacing models in stories are:

  • Enhanced Flexibility: the ability to replace data models in stories allows users to quickly adapt their analyses to changing business needs, without having to recreate their visualisations from scratch.
  • Improved Efficiency: by simplifying the process of updating stories with new data sources or refining existing models, model replacement saves users valuable time and resources.
  • Consistency Maintained: by preserving all existing views, filters and formatting during model replacement, organisations can guarantee consistency and reliability in their analyses.

These combined benefits help to reduce the complexity and time needed to update and validate data models in stories, allowing organisations to be more agile and efficient in their analytical process in SAP Analytics Cloud.

The future of SAP Analytics Cloud

Izertis, with SAP Recognized Expertise in Business Intelligence and Data Management, is committed to helping organisations harness the full potential of SAP Analytics Cloud

The introduction of model replacement in stories is just one example of the updates to SAP Analytics Cloud capabilities that provide users with the tools they need to succeed in a rapidly evolving digital landscape.

Izertis,with SAP Recognized Expertise in Business Intelligence and Data Management, is committed to helping organisations harness the full potential of SAP Analytics Cloud and tackle the complexities of modern analytics. Our specialised team is able to accompany companies at every stage, from implementation to optimisation, ensuring that you get maximum value from your SAC investment.