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SAP Fiori Embedded Analytics – Integrated Business Intelligence

SAP Fiori analytics has been designed to make real-time business insights available to users in all domains and roles during their everyday work. It builds on the strengths of the ground-breaking SAP HANA in-memory technology, allowing enterprises to see and influence their business as it happens.

As the digital transformation continues, the potential for big data analysis is reaching new heights. Exploration of large datasets is becoming relevant for more and more domains. And within these domains we are seeing new user roles that are not served by traditional analytical tools. At the same time, new database technologies such as the SAP HANA in-memory database now allow users to explore large datasets in real time instead of running inflexible batch jobs overnight. 

The SAP Fiori concept for integrated business analytics has been designed to unleash this valuable analytical information and to make real-time business insights available to users in all domains and roles during their everyday work. The design concept proposes subtly blending rich analytical information with role-based transactional applications. In this way, information visualisation becomes an integral part of the application experience, making it much easier for users to make informed business decisions.

Visual interaction
Traditional interactions are enriched by visual metaphors and visual controls, giving users a much more immediate experience as they explore the related data.  

Collaborative and conversational
With the conversational experience of the SAP CoPilot, analytics can be used to convey complex contextual information in an easy and intuitive way. Statistical methods help to reduce the number of options and guide the user through a task. Natural language processing, machine learning, and highly focused information visualisation let the user explore data and business situations with the help of a personal digital assistant. Users can also share analytical views when they use SAP CoPilot to collaborate with co-workers. 

The SAP Fiori integrated business analytics concept brings analytical capabilities into the user’s digital workspace. It redefines how business users will work with high-end, professional analytics, empowering them to do a better job. Users get the information they need to understand the context and the impact of their actions without being confronted with all the complexity involved in selecting the right data sources. The SAP Fiori integrated business analytics concept builds on the strengths of the ground-breaking SAP HANA in-memory technology, allowing enterprises to see and influence their business as it happens.

Design

SAP SE, Germany
Team Lead: Maricel Cabahug,  
Design: Dr. Kai Richter, Emil Voutta, Anja Wipfler

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Precise and intuitive 
Even users without specific analytical expertise can benefit from intuitive information visualisation that is still accurate and precise enough to meet the expectations of domain experts. Further levels of detail are accessible at any time in a consistent manner, leading from a high-level KPI down to a detailed multi-dimensional analysis. 

Seamless integration
Highly condensed aggregations and visualisations provide context that guides the user. Big data becomes tangible and accessible at a glance.

Insight to action
Instead of relying on processed and stored analytical data structures, SAP Fiori analytics runs on real-time information in the transactional systems. Any change in your business becomes visible whenever you need to see it to make the right decision. Users can drill down from highly aggregated visualisations to the specifics of an individual business event.

Proactive
Statistical methods can be used to identify deviations and exceptions. These are surfaced directly to the user, who can then take appropriate action. Bringing the user directly to the source of the incident bypasses long explorations and analyses across a variety of tools (often only possible today with the help of others). The system analyzes and evaluates situations automatically, keeping users in the picture as they work to help them make the right decisions (for example, by providing rich notifications).

Suggestions
The system suggests suitable views on the data, making it easier for users to browse, and optimising the way content is represented.  This means that business domain experts can focus on their field of expertise, and do not lose time finding and configuring the right visualisation. 

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