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Chart Description

Focused Insights charts are divided into the following categories:

TREND: This chart is typically used to show trends over time. Depending on your needs, a single Scale or a Double Scale or a Table chart can be used.

COMPARISON: This type of chart shows comparisons between two or more categorical values.

DISTRIBUTION: It focuses on displaying the distribution of values within a dataset.

COMPLIANCE: It Indicates compliancy of dimensions towards an objective.

TABLE: The table chart shows raw data in a structured row/column format. You can choose between a dynamic table or an alert tree table. Tables offers usually break-down functionality with jump-in to detailed charts.

Focused Insights provides the following charts:

  • Trend Single scale:  Line, Line-column
  • Trend Double scale: Dual Line, Dual Line Column
  • Trend Table: History Table, Trend Table
  • Comparison: Column, Bar, Dual Bar, Stack Bar/Column 
  • Distribution: Cluster Stack Column Chart (2 Labels), Pie Chart, Donut Chart, Bubble Chart, Waterfall Chart
  • Compliance: SLR, SLR Table
  • Table: Dynamic Table, Alert Table


Trend Chart

Line Chart 

With line charts you get an overall picture of your selected data. Line charts can also be used to track more than one data series on the same chart. This helps to reveal any correlation in trends.


An optional feature of the line chart is the possibility to highlight trend with a trend line derived from the data points of individual serie.


Line-Column Chart

With the Line-column chart you can underline specific data series in your graph. In addition, displaying the value of each measurements will accentuate the message passed by your dashboard.



Dual Scale Trend 

You use dual scale charts when you want to display and correlate data series having different scales. Two y-axis are available: One on the left for lines and one on the right for the column.

This chart allows to combine multiple time series with two different scales.


Dual Line Chart


Dual Line-Column chart


Trend Table Chart

History Table

History Table Renderer charts display the value of each data points under the time dimension.

Queries are distributed over the different rows of the table and are grouped by dimensions using the “primary / drilldown” legend pattern.

This chart reports the compliance history of your indicators over a predefined time period.


Color rating for each cell is used to facilitate the interpretation of your measures.


Trend Table History 

Trend Table History charts add a trend indicator based on linear regression for each series. The rating is based on the trend attributes defined for each series.

The Trend Table chart is used to monitor and control your key performance indicators over a period of time in order to proactively correct any deviations from your objectives.



Comparison charts show comparisons between two or more categorical values. They are used to compare measures based on dimensions.

When bars are horizontal the visualization is considered a bar chart, vertical bars are considered a column chart.


Bar Chart

The value of a measure is represented by the length of the bar, while dimensions provide the axis of the chart.



Column Chart


Dual Bar Chart

Dual bar chart adds an additional scale to display the value of your dimensions


Stacked Bar/Column

When bars/columns are stacked, they show the total measure divided into selected dimensions.




Distribution Charts show the distribution of values within a dataset.


Pie Chart

Pie Charts are used to show both part-to-whole relationships and distribution of measures.


Donut Chart

Numerical thresholds can also be added to donut charts to show a quick view of a status of a dimension in relation to an objective.



Stacked Column 2 Labels (Cluster Stack Column Chart)

This chart includes an additional dimension clustered in columns to show the breakdown of the measures over this dimension.

The dimension is added to the chart based on the “primary / drilldown” attribute or each query.



Bubble chart

To see the correlation between three measures use a bubble chart. They display a measure on each axis and a third measure is reflected in the size of the bubble.

Time dimension can also be used for the x-axis.



Waterfall chart

Use a waterfall chart when you want to show the positive and negative changes that a measure goes through according to a dimension.

Waterfall charts are useful to show projects progress based on documents status.




You use compliance charts when you want to report the compliance of a dimension in relation to a goal. With the compliance charts you have a quick access to the status of your key indicators.


The SLR chart computes a single measure out of a set of data points to transform individual series into key performance indicators. It reports the status of a dimension related to a goal.

You use it to provide to your organization or your customers, the performances of your services in one single aggregated view.

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SLR Table

The SLR Table is used to reports multiple series compliances in one single view.

Each ‘Primary / Drilldown’ dimension is projected into a ‘row / column’ format to show the status of each indicator in the table’s cells.

Each cell of the table is clickable and will open the details of each series. The jump-in attribute will determine the type of chart used during the jump-in.



Tables are used to provide detailed information for your measurements and dimensions. Combined with graphical charts in single dashboards, you can build powerful view showing detailed information in a row/column format along with charts.

Alert Table

Alert Table charts are used to display the alert status of SAP systems.

This chart is used by operators and SAP administrators to get an overview of the alerts situation of their landscapes.

From the Alert Table chart, you can drilldown down to the metrics views generating the alerts.



Dynamic Table

You use the dynamic table when you need to display the content of your data in a structured way with the deep level of details.

Dynamic table is a powerful renderer when linked from a graphical chart with the ‘Jump-in’ property of the series.


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