Launch Data Analyzer and Start Ad-Hoc Analysis

Data analyzer is a predefined ready-to-run service for SAP BW queries, SAP HANA live views and SAP Analytics Cloud models for ad-hoc analysis. It can be accessed by using the side navigation of SAP Analytics Cloud and it enables you to save your drill-down data state and analysis as insight. All SAP BW queries, SAP HANA Live views and models can be accessed directly in the selection dialogs for data source and existing models and no additional model is created.

Data analyzer contains a table, a filter area, and a builder panel with navigation capabilities to add and remove dimensions and measures from the table. In addition, you find a menu bar with a Refresh possibility and an Edit Prompts dialog (in case your data source is designed for setting prompts).

Note

Before you can work with data analyzer, you need to have the corresponding permission. Many standard application roles already include the permission to work with data analyzer. For further information, contact your application designer and see Granting Permissions for Data Analyzer.

Open Data Analyzer and Create an Ad-Hoc Analysis
  1. To open data analyzer and create a new ad-hoc analysis, go to Data Analyzer in the side navigation of SAP Analytics Cloud. The start page of data analyzer is displayed with the following URL: https://<hostname>/sap/fpa/ui/app.html#/dataanalyzer

  2. On the data analyzer start page, choose one of these options:
    • Start New From a Data Source to create an ad-hoc analysis based on a SAP BW query or SAP HANA live view. For more information, see section Creating an Ad-Hoc Analysis based on a SAP BW Query and Creating an Ad-Hoc Analysis based on a SAP HANA Live View in this chapter.

    • Start New: From an Existing Model to create an ad-hoc analysis based on an existing SAP Analytics Cloud model. For more information, see Creating an Ad-hoc Analysis based on an SAC Analytics Cloud Model.

Note
  • You can work with only a single data source in data analyzer.

  • Once you've opened data analyzer for a new ad-hoc analysis following the two options described above, the URL will get updated containing the data source information, for example in SAP BW https://<hostname>/sap/fpa/ui/app.html#/dataanalyzer&/dz/?connection=BIX&dataSourceName=0BICS_C03_BICSTEST_Q0010

  • When you start a new ad-hoc analysis and leave data analyzer without saving any changes, you won't be asked to save your changes. Only if you open an existing insight, change it and leave without saving, you are asked whether your changes should be saved. Be aware that users with viewer role and without the private insight privilege can open and change insights but can't save the changes.

Besides starting a new ad-hoc analysis from the data analyzer start page, you have also the following possibilities to create an ad-hoc analysis in data analyzer:
  • You can open data analyzer via the URL parameters that specify the connection and the data source name.

  • You can start with opening a saved insight, for example from the Recent Files section on the data analyzer start page or from My Files on the Files start page.

Creating an Ad-Hoc Analysis based on a SAP BW Query

You can create an ad-hoc analysis based on an SAP BW Live query.

Please ensure the following pre-requisites are met before proceeding: To use an SAP BW query, at least one live connection to a SAP BW system needs to be configured in SAP Analytics Cloud.

Specifying connnection Procedure
Starting in data analyzer start page and opening the connection via the Select Data Source dialog.
  1. Open data analyzer from the side navigation panel which brings you to data analyzer start page.

  2. Choose From a Data Source to create an ad-hoc analysis based on a SAP BW query.

  3. The Select Data Source dialog opens where you can choose a SAP BW connection and a query..

  4. Confirm the selection and data analyzer is displayed.

After having chosen the the SAP BW query the URL is updated accordingly.

Starting in data analyzer and opening the connection via the URL parameters that specify the SAP BW connection and the query. For parametrization, please specify the following parameters:
  • connection

  • data source name (that refers to the technical name of the SAP BW) query

Example
Usage with system type parameter https://<hostname>/sap/fpa/ui/app.html?#/dataanalyzer&/dz/?systemType=BW&connection=<connectionName>&dataSourceName=<BWQueryName>
Example
Usage without system type parameter https://<hostname>/sap/fpa/ui/app.html?#/dataanalyzer&/dz/?connection=<connetionName>&dataSourceName=<BWQueryName>
Note

It is important that you use dataanalyzer.

You can open data analyzer by creating an analytic application with the following script in the onInitialization event handler of your application: NavigationUtils.openDataAnalyzer(undefined, undefined, undefined, false);

Creating an Ad-Hoc Analysis based on a SAP HANA Live View

You can create an ad-hoc analysis based on an SAP HANA Live view.

Please assure that the following condition is made: To use an SAP HANA Live view, at least one live connection to a SAP HANA Live system needs to be configured in SAP Analytics Cloud.

Specifying connnection Procedure
Starting in data analyzer start page and opening the connection via the Select Data Source dialog.
  1. Open data analyzer from the side navigation panel which brings you to data analyzer start page.

  2. Choose From a Data Source to create an ad-hoc analysis based on a SAP HANA live connection.

  3. The Select Data Source dialog opens where you can choose a SAP HANA connection and a data source.

  4. Confirm the selection and data analyzer is displayed.

After having chosen the model the URL is updated accordingly.

Starting in data analyzer and opening the connection via the URL parameters that specify the SAP HANA connection and the view. For parametrization, please specify the following parameters:
  • system type

  • connection

  • data source name (that refers to to the SAP HANA View name and all the associated details required around it such as schema name package name etc)

Example
https://<hostname>/sap/fpa/ui/app.html#dataanalyzer&/dz/?systemType=HANA&connection=<connectionName>&dataSourceName=[<SchemaName>][<PackageName>][<HANAViewName>
Note
  • It is important that you use dataanalyzer.

  • A SAP HANA view ID should follow the format of [<SchemaName>][<PackageName>][<HANAViewName>] where the square brackets are required

  • For [<SchemaName>] enter always [_SYS_BIC] to signify a remote SAP HANA system

Note

You can open data analyzer by creating an analytic application with the following script in the onInitialization event handler of your application: NavigationUtils.openDataAnalyzer(undefined, undefined, undefined, false);

Creating an Ad-hoc Analysis based on an SAC Analytics Cloud Model

You can create an ad-hoc analysis based on an SAP Analytics Cloud model. .

Please assure that the following condition is made: To use an SAP Analytics Cloud model analytical dataset, at least one model needs to be available within the file repository configured in SAP Analytics Cloud.

Specifying connnection Procedure
Starting in data analyzer start page and opening the connection via the Select Data Set or Model dialog.
  1. Open data analyzer from the side navigation panel which brings you to data analyzer start page.

  2. Choose From an Existing Model to create an ad-hoc analysis based on a model.

  3. The Select Data Set or Model dialog opens where you can search for or open an exsting model in the files folders of your choice..

  4. Confirm the selection and data analyzer is displayed.

After having chosen the model the URL is updated accordingly.

Starting in data analyzer and opening the connection via the URL parameters that specify the SAP Analytics Cloud model connection. For parametrization, please specify the following parameters:
  • system type=MODEL

  • datasourceName: name of the model to load that has 2 formats
    • legacy format of package : model name, for example sap.epm:BestRunJuice_SampleModel

    • standard resourceId, for example CHZOJIBK5943RVTGDX3HR9EDC

Example
https://<hostname>/sap/fpa/ui/app.html#/dataanalyzer&/dz/?systemType=MODEL;datasourceName=<PackageName>:<ModelName>
Example
https://<hostname>/sap/fpa/ui/app.html#/dataanalyzer&/dz/?systemType=MODEL;datasourceName=<resourceId>
Note

It is important that you use dataanalyzer.

Using the Builder Panel

The Builder panel is displayed at the right side of the application. Here you can see the data source of the application and change it if needed. Under Rows and Columns, you see all measures and dimensions that are displayed in the table.

For the Rows and Columns, you are offered a context menu that you can open by clicking (More). Here you can use the following functions:
  • By clicking Swap Axes, you can exchange rows and columns.

  • By clicking Arrange Totals/Parent Nodes Below, you can set the display of the totals or parent nodes below or above.

  • By clicking Compact Display, you can show multiple dimensions in the drill down as hierarchy (for SAP BW queries only).

  • By clicking Suppress Zeros, you can suppress zeros in rows and/or columns (for SAP BW queries only).

In the Available Items area that is displayed on the left hand side of the navigation panel by default, you can see all available items for the data source. Here you can select dimensions and measures and assign them directly to the table's rows or columns by clicking or . To close the available items area, click the button.

You can also drag and drop dimensions from the Available Items panel into the Builder panel.

In the Available Items panel, you can also search for items. Additionally, in the upper right corner of the Available Items area, you can change the items' display between ID and Description as well as their sort order.

You can resize the width of the left side panel for Available Items. This way you can display long dimension names.

Using the Table's Context Menu
Setting Filters

If you want to set filters, click to display the filter line and click beneath the menu bar to choose one of the items. To collapse the filter line, click again . Depending on the amount of filters you have set, the number is displayed directly on the symbol.

Setting Variable Prompts
Note

In SAP BW, prompts are referred to as prompt variables.

If your data source is designed for setting variable prompts, click Edit Prompts in the menu bar to set the variable prompts. When you have set variable prompts, they are displayed in the Information menu under Variables.

Getting Information about the Data Source

In the Information popup window you can get some general information about the query or view in the General tab like Query name, the Info Provider name and the date of the Last Data Update and the used variables in the Variables tab. Next to Last Data Update you can click the Refresh button to refresh the data. After the refresh the time stamp changes according to the last data update.

Saving and using Insights
After you have drilled down to the data details according to your needs and analyzed your data, you might want to save this insight. For this, you simply click Start of the navigation pathSave Next navigation step Save AsEnd of the navigation path in the upper left corner of data analyzer. In the Save Insight dialog select the file location (public or private) for your insight and enter a name and description for it. The saved insight does not only appear in the files folder you have saved the insight to but also under the Recent Files section of the data analyzer start page.
Note
  • An insight represents the displayed data source with filters, the navigation state as well as the presentation state of the table.

  • If you are assigned to the creator or admin role, you can save an insight in the public or your private files.

  • If you are assigned to a viewer role, you can save an insight in your private files only. To do this an administrator can grant the private insight privilege to users with no create rights on the public or private files by creating a custom role and assigning the private insight privilege. With the private insight privilege, these users can also share and delete their insights however they can't overwrite the insight (only save as a new file name) and they can't edit or rename the insight in the file repository. For more information on creating custom roles, please see Create Custom Roles.

After saving an insight, the insight name is displayed in the header of data analyzer. Saving an insight also creates an insight ID that is displayed in the URL, for example, https://<hostname>/sap/fpa/ui/app.html#/dataanalyzer&/dz/1A6006079B878D23EF65D16ACCBB65C4

To open an existing insight and make changes to the data, select Files from the side navigation and select the folder where you have saved your insight. In the folder, click the respective insight to open it in data analyzer. Alternatively, you can open insights who have worked on and saved recently in the Recent Files section on the data analyzer start page.
Note

Insights are labled with the symbol in front of the insight name and can be found under the file type Insight.

To save your changes, click Start of the navigation pathSave Next navigation step Save AsEnd of the navigation path and select the existing name of the insight to overwrite it. Or type in a new name for a new insight.
Note

Changes to existing insights can be made depending on permissions for your user role and for the file repository.

In the folder view you can also share your insight, add it to your favorites or delete it.
Note

For the time being you can share insights by email but you can’t create a custom link.