Obter uma visão geral dos elementos do SAP Fiori para OData V4
Obter uma visão geral das ferramentas do SAP Fiori
Compreender modelos de elementos do SAP Fiori
Configurar as funcionalidades gerais de relatórios de lista e páginas de objeto
Configuração da barra de filtros do list report
Examinar ações disponíveis no relatório de lista
Configuração do conteúdo de colunas de tabela
Utilização de várias visões no relatório de lista
Moldar a área do cabeçalho da página do objeto
Configuração do corpo da página do objeto
Aplicação do controle de campo dinâmico e validação da entrada do usuário na página do objeto
Descobrindo a flexibilidade do modelo de programação para elementos do SAP Fiori para OData V4
Ilustração do conceito de navegação em elementos SAP Fiori para OData V4
Descobrindo a página de lista analítica

Examining the Analytical List Page

Objective

After completing this lesson, you will be able to explain the main features of the analytical list page which come on top of the list report.

Overview of the Analytical List Page

You can use SAP Fiori elements to build apps that require visualization and reporting of data using filters, interactive charts, and other data points such as KPIs (Key Performance Indicators).

With the combination of transactional and analytical data using chart and table visualization, you can quickly view the data you need. This hybrid view allows an interesting interplay between the chart and table representations.

The analytical list page (ALP) offers a unique way to analyze data step-by-step from different perspectives, drill-down the data to investigate a root cause, and to act on transactional content. All this can be done seamlessly on one page. The purpose of the analytical list page is to identify interesting areas within data sets or significant single instances using data visualization and business intelligence.

Visualizations can help users to recognize facts and situations, and reduce the number of interaction steps needed to gain insights or identify significant single instances. Chart visualization increases the joy of use, and enable the users to spot relevant data faster.

The main target group are users who work on transactional content. They benefit from fully transparent business object data and direct access to business actions. In addition, they have access to analytical views and functions without having to switch between systems. These include KPIs, a visual filter where filter values are enriched by measures and visualizations, and a combination of table view or chart view with drill-in capabilities (hybrid view). Users can interact with the chart to dig deep into the data. The visualization enables them to identify spikes, deviations and abnormalities quickly, and to take appropriate action right away.

For more information about design guidelines, see Analytical List Page.

For more information about analytical list page, you can also see Analytical List Page.