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Product and Topic Expert
Product and Topic Expert
Learn about the different options for data visualisation available in SAP Focused Insights for SAP Solution Manager.

In this blog, we explain the different concepts available to build SAP IT management dashboards.


Data visualisation with Focused Insights is based on the following concepts:


Rolling Time Dimension

To build compelling stories with your data, IT analytics are constructed on a rolling time dimension containing two attributes: period and resolution.

The period defines the duration of the measurements and the resolution defines the scale of the data points.  (Ex: Today / Hour, Last 6 Months / Month).

The time dimension is propagated from the dashboards to the individual charts.



Data in Focused Insights are manipulated by queries.


A query is responsible to return either a set of measures (series) or a row-column structured data format (table).

Focused Insights uses two types of series:

  1. Time series: A series of data points indexed in time order.

  2. Categorical value series: The values of measures are represented on the y-axis, while dimensions provide the axis of the chart.




Query Attributes

Queries attributes are attached to queries. They are instructions for the different charts on how to render the data and enrich dynamically the visualization.



  • The text to be displayed for the dimension visualized by each data sets.It supports two patterns:

    • Single dimension (ex: Number of transports)

    • Primary / Drilldown dimension (ex: Number of Tests / Passed)


  • The color of the data points in the chart.

SLA, Yellow and Red Thresholds:

  • An objective expressed by numerical thresholds used by compliance charts to give a view of a status of a dimension in relation to a goal. 


  • Renderer to be used for drill-down navigation between two charts.


  • Indicate if a measure should grow or reduce over time. It is used by compliancy charts to compute the trend compliancy.


  • A boolean to add a trend line based on linear or quadratic regression.

Display Value:

  • Option to enrich line graph with the display of the value for each data points.

Display Attributes:

  • Used to filter table data based on the column’s name of the table’s header.




The chart is responsible of the data visualization.

Some charts are dedicated to the table format while other charts are used for series format.

A chart could display multiple series. In that case, the series need to have a common dimension of the x-axis. In most of the case, the x-axis is given by the selected time period. In that case, charts areuseful for showing the relationship between multiple measures over a period of time.



You can check chart details with the following article: