Creating Dashboards and Analytics

Objective

After completing this lesson, you will be able to create dashboards and analytics.

Analyzing Data

Analyzing and Visualizing Data

Different options exist for visualization within SAP Integrated Business Planning solution. A lot of planners use the add-in for Microsoft Excel and work almost exclusively in planning views. SAP provides a set of templates within the Rapid Deployment package that can be used as a starting point for tailoring planning views for different aspects of planning, like statistical forecasting, inventory optimization, S&OP heuristics, and so on. VBA-enabled templates have a section with a graph built in and it is very intuitive to display key figures on the graph, on top of the planning views, as well as applying filtering, and so on.

It is also possible, and is recommended, to use the Analytics Advanced app together with Dashboard Advanced to analyze the data, and to create and customize charts. Since the 2211 release, a new app has been added to SAP Integrated Business Planning portfolio - Manage Analytics Stories. This app can be seen as synonymous with dashboards and analytics charts.

Analytics Advanced App

Introduction to Analytics Advanced

This app allows use of different visualizations, like geographical maps, tables, and network views. Charts and other information of your choice can be organized and presented on a single user interface to allow for convenient access. Network visualization charts can be created from a separate app - Supply Chain Network- or via the Analytics Advanced app. Network visualization is an excellent feature that helps with analysis and visualization of the flow of inventory and information through the supply chain network, from customer facing locations through to supplier facing locations.

Initial Screen

It is important to mention that the global configuration parameter(s) CHARTS_PUBLIC or DASHBOARDS_PUBLIC that can be set using the Global Configuration app control the behavior of all charts and dashboards. To make charts or dashboards public, when all users can view all charts or dashboards, these parameters must be set to TRUE in the Parameter Group Analytics.

The next screen, Analytics Details, opens when the existing chart is selected for editing or a new analytics chart is being created. You can select what types of charts, such as bar charts, pie charts, or heat maps should be used to display the data and you can use advanced filtering. You can also add the chart to the dashboards in that screen.

Note

If you use the Copy functionality, a copy of the chart will be created under your user, while the original chart will be retained. You will be able to change filters, type of chart, and so on in that copied chart, but you will not be able to switch to another planning area.

Features of Advanced Analytics

There are several features users can use when defining analytics.

Reference Lines: In Analytics Advanced, users can define reference lines in their charts that have at least one axis. A reference line can be both static and dynamic and you can add a comprehensive label to it that enhances the chart and brings value to analysis. Labels can be created with a colored font and background. A dynamic reference line can be an average, minimum, or maximum of a certain key figure. It can be represented as a dashed or solid line. A static reference line shows a fixed line on the graph. You will be able to practice this functionality in the exercise in this unit.

Color Picker: The Color Picker allows you to select a color for key figures. The picker enables you to use a wider range of colors for analytic charts. There are 15 predetermined colors that can be used or any RGBA combinations. You will also be able to practice using a Color Picker in the exercises.

Thresholds: Users can define thresholds and associate a color to highlight the data. Use the Color Picker to customize your color. For example, the color in green can be any value of KF1 between 500K and 700K, in yellow anything between 100K and 500K, in red when KF1 is below 100K. This feature is available only for choropleth and geo bubble chart types. Overlapping intervals are not supported.

New Chart Types: From 2102, a waterfall chart with time period was introduced and it is capable of demonstrating how the initial value is impacted by intermediate values – either positive or negative – and results in a final value. This allows you to analyze data sequentially.

Transportable Objects: Since version 2005, analytics charts, as well as dashboards, are transportable objects. During SAP IBP implementations, you can create, fine-tune, and test charts and dashboards in the test environment and then transport to production client on cutover. Note that on the target (in production client) ownership of these transported object will be under the background transport user. You will need to use Content Administration app to change the ownership.

Analytics charts can be incorporated not only in dashboards, but also in the Planner Workspace app. This allows users to build up planning views in the Planner Workspace adding meaningful charts and alerts to support data tables and visualize relevant contexts.

Dashboards Advanced

The Dashboards – Advanced app enables you to view consolidated status data about your business at a glance

You can create, manage, and view dashboards. A dashboard shows all the charts that you’re most interested in. You can flexibly add charts, customize the layout of your dashboard, and share it with other users or user groups.

Similar to the Analytics Advanced app, the Dashboard List is a starting point for managing dashboards. It shows a list of all dashboards that you created or that were shared with you. On that screen, you can create or delete dashboards, group them, share them, or mark them as your favorites.

The filter bar and the option to save filter variants helps you to quickly find the dashboards you were looking for. Assigning dashboards to various categories helps with organization, as well as filtering by planning area and by creator. You can also filter your data on the dashboard by version or scenario to compare your data.

On the next screen, you do the most work with your dashboard. You can add content to your dashboard by adding charts (of different categories), you can adapt the dashboard by rearranging and resizing the individual charts, you can apply planning filters, you can copy a dashboard, and you can work with charts individually (refreshing charts, drilling down on a chart, navigating to the source, namely to the Analytics Advanced app).

Note

The Copy feature is particularly useful when working with a shared dashboard because you can only edit the ones that were created by you.

Alternatively, you can use Content Administration app to change ownership.

Analytics Stories

Since the 2211 release, it is recommended to use the new Manage Analytics Stories app. The app provides analysis and visualization capabilities of SAP Analytics Cloud allowing users to create charts and reports complementing the planning capabilities of SAP IBP.

Users are able to create and use stories directly from SAP IBP. Stories are synonymous with dashboards and analytics charts, which were presented in the previous sections. Analytics Stories enables a consistent analytics experience across SAP applications and offers more flexibility, like defining calculations on top of the SAP IBP data model.

Introduction Analytics Stories

Manage Analytics Stories combines Analytics Advaned and Dashboard Advanced. Stories can be compared to dashboards that contain charts, which are generated directly within the respective story. There is no need anymore to use two separate apps for dashboard creation, this is now compressed within one app. Analytics Stories are based on SAP Analytics Cloud and provide similar but not the same functionalities as Advanced Analytics.

Terminology

Analytics Stories use the terminology from SAP Analytics Cloud, which leads to differences between SAP IBP terms and SAP Analytics Cloud terms. In the following table, some terms that are used in Manage Analytics Stories are explained with their meaning and the equivalent in SAP Integrated Business Planning.

Analytics Stories Terminology

Term in Analytics StoriesTerm in SAP IBPDefinition
Data sourcePlanning area

A representation of an organization’s data comprising the following elements that together define the structure of your planning process:

  • Dimensions and attributes

  • Time profile

  • Key figures and calculations

It's an essential piece for data exploration and provides a framework for the data visualization in analytics stories.

MeasureKey FigureA data object that represents numerical and quantitative data that you want to compare, aggregate, or use for calculations. For example, sales forecast quantity, consensus demand, and actual quantity.
Dimension

Attribute

Time period

Version, Scenario

A data object that represents categorical data, for example product, location, and brand. Time periods, versions, and scenarios are also represented as dimensions in the Manage Analytics Stories.
MemberAttribute valueMembers are the values of a dimension. A specific product ID (PRODID1234), a version (Base Version), a key figure name (Actuals Qty), or a scenario are all examples of members.

Features of Analytics Stories

There are some features available within Manage Analytics Stories app that are different to Analytics Advanced. Some are highlighted in the following section.

Creation of calculations: Users can create their own calculations on top of the planning area data model. Meaning, if for visualization reasons a measure is missing, it can be added to a story and be graphically displayed. For those calculated measures mathematical formulas, conditions and operators can be applied to data contained in the planning area.

The figure shows an example, how users can create their own calculations on top of the planning area data model.

Conditional Formatting: Users can apply defined formatting rules on the entire story. In the Conditional Formatting menu, it is possible to expand the formatting to Story Defined to enable that the settings are being expanded to the story, for example, by creating story-defined thresholds.

The figure shows an example, how users can apply defined formatting rules on the entire story.

Time Series Charts: When creating charts, users can choose to use the Time Series Chart type, in which a time horizon selection is already preconfigured, and the time axis can be used to zoom in and out on the data set.

The figure shows a picture with the available chart types for Analytics Stories..

Demonstration how to Create Analytics Charts and Dashboards

Creating Analytics Charts and Dashboards

Steps

  1. Create the first chart in the Analytics (Advanced) app using the following details:

    FieldValue
    NameT## IBP500MAP
    DescriptionT## IBP500MAP
    Planning AreaZCONTROLTO
    Key FiguresDependent Demand
    Group byLocation ID
    Unit of Measure To IDEA
    Currency To IDUSD
    TypeGeographic → Geo Bubble
    FieldValue
    Versions/ ScenariosBaseVersion
    Time PeriodWeek
    From/ ToCurrent Week + 1 to Current Week +4
    RollingSelect checkbox to indicate rolling time horizon
    FiltersProduct T-F2##

    Note

    If you do not see a filter for the Product attribute, use the hyperlink Filters on the top right of the screen and search/add more filters.
    1. In the General Planner group on the SAP Fiori launchpad home page, choose Analytics Advanced.

      The Analytics screen appears.

    2. Choose Create → Analytics Chart.

    3. In the Create New Chart dialog box, enter the name T##IBP500MAP and the same in the description field.

    4. In the Planning Area dropdown list on the right side of the screen, choose ZCONTROLTO planning area.

      If a Warning dialog box appears with the message All your changes will be lost. Are you sure you want to change the planning area?, choose OK.

    5. In the Key Figures field, select the following key figures:

      Dependent Demand

    6. In the Group By field, choose Location ID.

    7. Choose Currency to ID USD.

    8. Choose Unit of Measure to ID EA.

    9. Select the type as Geo Bubble.

    10. On the top right of the screen, choose Show Filter Bar if not shown yet and choose Week in the Time Periods field. In the From/To field, choose the relevant dates for next week start to Current Week+4 end.

    11. Via the Filter hyperlink at the top, choose FilterProduct ID, and then choose T-F2##.

    12. To render the chart, choose Play.

    13. To save the chart, choose Save.

    14. You can move your map on the screen and you can change the scale via the controls in the left top corner of the map.

    15. Observe that thresholds are automatically generated to make the Geo Bubble chart more readable.

  2. Create a second chart using the following details. In the chart, introduce the reference line and select the custom color for the line.

    FieldValue
    NameT## IBPCONSENSUS
    DescriptionT## IBPCONSENSUS
    Planning AreaZCONTROLTO
    Key FiguresConsensus Demand
    Group byWeek
    Unit of Measure To IDEA
    Currency To IDUSD
    TypeComparison → Column
    Axis Value Format for Primary AxisStandard 123.456
    Reference Line NameLast Year Average
    Reference Line TypeFixed
    Reference Value18.500
    FieldValue
    Versions/ ScenariosBaseVersion
    Time PeriodWeek
    From/ ToCurrent Week to Current Week +9
    RollingSelect check box to indicate rolling time horizon
    FiltersProducts T-F2##, T-F3##, T-F4##
    1. On the SAP Fiori launchpad home page, in the General Planner screen area, choose Analytics.

      Result

      The Analytics screen appears.
    2. Choose Create → Analytics Chart.

    3. In the Create New Chart dialog box, enter the name T##IBP Consensus and the same description.

    4. In the Planning Area dropdown list on the right side of the screen, choose ZCONTROLTO planning area.

      If a Warning dialog box appears with the message All your changes will be lost. Are you sure you want to change the planning area?, choose OK.

    5. In the Key Figures field, select the following key figures:

      Consensus Demand

    6. In the Group By field, choose Week.

    7. Choose Unit of Measure to ID EA.

    8. Select the type as Column.

    9. On the top right of the screen, choose Show Filter Bar if not shown yet and choose Week in the Time Periods field. In the From/To field, choose the relevant dates for current week start to current week +9 end.

    10. Via the Filter hyperlink at the top, choose FilterProductProduct ID, and then choose three T-F### products that correspond to your group (T-F2##, T-F3##, T-F4##).

    11. Choose Save.

    12. Return to Edit Mode and in the Chart Options tab, change the axis value format and data value format to Standard 123.456,00.

    13. In the Reference Lines section, choose Add and create a reference line, naming it Last Year Average and choosing a fixed value of 18.500.

    14. In the Color section, choose Custom Colors → Edit → More colors and select a custom color from the palette.

    15. Choose Save.

  3. Create a dashboard and assign it to a category Control Tower-## via the Manage Categories app using the following details:

    FieldValue
    NameT## Dashboard
    DescriptionT## Dashboard
    CategoryControl Tower##
    Refresh Time FormatRelative
    FavoriteYes
    1. Search for the Manage Categories app in Web UI.

    2. Choose Create and type Control Tower## category using where-used Dashboards.

    3. In the General Planner group under Web UI, choose Dashboard Advanced.

    4. To create a new dashboard, choose New.

    5. In the Dashboard Details popup, enter the details from the table above.

    6. Choose Save. An empty dashboard displays.

  4. Assign charts to your dashboard.

    1. Choose AddAnalytics Charts.

    2. Select the charts that you created in previous steps.

    3. Choose Add Chart.

    4. Hover over the icons above each chart to customize your dashboard (for example, to resize or refresh charts).

  5. (Optional) Use the Manage Master Data app to verify that master data is in place to support rendering of Geo Bubble chart.

    1. In the search field on top of the screen, search for Manage Master Data and open the app.

    2. To reduce the amount of master data types being displayed, enter C55 in the search field. C55 is the master data prefix for the ZCONTROLTO planning area.

    3. Open the master data type C55LOCATION.

    4. A new view opens in which the existing locations are displayed.

    5. Observe that the attributes Geo Latitude and Geo Longitude are populated for the locations, except for the Vendor.

      Note

      Any search engine can be used to query this data, if the location is known. For the POCs or projects where number of locations is small, you can populate Geo coordinates manually. For fully integrated master data, mapping needs to be done in CI-DS.

Demonstration how to Create Planning Notes and Display Notes in Analytics

Creating Planning Notes and Displaying Notes in Analytics

Business Example

In your role as a planning manager, you need to have options to adjust planning values and make notes that will be saved in the database.

You anticipate working primarily in the table format, but there are also analytics charts that complement SAP IBP planning. You want to see notes that were created in add-in for Microsoft Excel on the analytics charts.

Note that if you have not yet created a connection to SAP Integrated Business Planning solution in Microsoft Excel, you will need to do it for this exercise.

Steps

  1. In Microsoft Excel, create an SAP IBP connection and log on to the system using the credentials provided to you.

    1. Open Microsoft Excel and choose the SAP IBP tab.

    2. On the Connection section of the ribbon, choose Log On. The Logon dialog box appears.

    3. Choose the ... button to the right of the Connection field.

    4. Choose Create Connection to create the connection with the logon credentials provided to you.

    5. In the Connection Name field, enter SAP500.

    6. In the Server URL field, enter the server address provided to you and choose the ... button to look up existing planning areas.

    7. Enter your ID and password, confirm, and choose planning area ZCONTROLTO in the new prompt, where all available PAs are listed.

    8. Confirm each pop-up window with OK and log on.

  2. Create a new view from an empty sheet that will display Consensus forecast using the following settings. Save your planning view as a favorite called Consensus Forecast##.

    FieldValue
    Time PeriodWeekly
    Time SettingsCurrent Week +1 -Week +5
    AttributeProduct ID
    Key FigureConsensus Demand
    Filter (Attribute-Based Filter)

    Product IDs T-F2##, T-F3##, T-F4##

    Add this filter as My Group Products

    additional filter for Product Sub-Family Series 2 (not included in the previous stored filter)

    Planning ScopePlanning Unit corresponding to your ##
    Planning notes fieldShow from all levels
    Currency To IDUSD
    Unit of Measure To IDEA
    1. On an empty sheet, select cell A1 and choose New ViewWithout template on current sheet...

    2. Select the values in the relevant fields as per the table above.

    3. As the data has been preloaded for all students, you need to create a filter for products that only you will be using. On the Filter tab, select the Product ID attribute and then choose all products T-F2##, T-F3##, and T-F4## with your ##.

    4. Select Add Filter and name your filter My Group Products.

    5. Additionally, filter for Product Sub-Family to include only Series2 (it is not necessary to add the Sub-Family to your My Group Products filter).

      The figure shows a picture of the Edit Planning View screen in Excel.
    6. Add your planning view as a favorite called Consensus Forecast## by choosing Favorites section of IBP ribbon and selecting Add.

  3. Introduce a change in Consensus Demand in Current Week +3, and create a planning note referencing that change.

    1. Select Current Week + 3 with your cursor and change the value of Consensus Demand by rounding it up to the nearest 5,000.

    2. Using the context menu, select Add Planning Note and type a note of your choice, for example, Sales Change.

    3. Choose Save Data.

    4. You can choose Show Planning Note using the context menu and verify that your note is there.

  4. Create a chart in Analytics Advanced using the following details:

    FieldValue
    NameT## IBPCONSENSUSNOTE
    DescriptionT## IBPCONSENSUSNOTE
    Planning AreaZCONTROLTO
    Key FiguresConsensus Demand
    Group byWeek, Product ID
    Unit of Measure To IDEA
    Currency To IDUSD
    TypeComparison → Column
    Planning NotesShow from all levels
    FieldValue
    Versions/ ScenariosBaseVersion
    Period TypeWeek
    From/ ToNext Week to Current Week +6
    RollingSelect checkbox to indicate rolling time horizon
    FiltersProduct T-F2##, T-F3##, T-F4##
    1. On the SAP Fiori launchpad home page, in the General Planner screen area, choose Analytics - Advanced.

      Result

      The Analytics screen appears.
    2. Choose Create → Analytics Chart.

    3. In the Create New Chart dialog box, enter the name T##IBP ConsensusNote and the same description.

    4. In the Planning Area dropdown list on the right side of the screen, choose ZCONTROLTO planning area.

      If a Warning dialog box appears with the message All your changes will be lost. Are you sure you want to change the planning area?, choose OK.

    5. In the Key Figures field, select the following key figures:

      Consensus Demand

    6. In the Group By field, choose Week and Product ID.

    7. Choose Planning Notes → Show for all Levels.

    8. Choose Unit of Measure to ID EA.

    9. Select the type as Column.

    10. On the top right of the screen, choose Show Filter Bar if not shown yet and choose Week in the Time Level field. In the From/To field, choose the relevant dates for next week start to current week +6 end.

    11. Via the Filter hyperlink at the top, choose FilterProductProduct ID, and then choose three T-F## products that correspond to your group (T-F2##, T-F3##, T-F4##).

    12. To render the chart, choose Play.

    13. To save the chart, choose Save.

  5. Display notes on your analytics chart.

    Note

    Replication of planning notes in Web UI might need a few minutes, before they are visible.
    1. Choose the Planning Notes button in display mode.

      The figure shows how in the graph the Planning Notes information can be made visible.

      Result

      The chart uses the plain and empty patterns to show data points with and without planning notes.
    2. Select a datapoint with notes on the chart.

      Result

      The notes are shown in a table below.

Demonstration how to Create a Drill-Down

Creating a Drill-Down

Steps

  1. Create an analytics chart using the following details:

    FieldValue
    NameT##DEMANDDRILLDOWN
    DescriptionT##DEMANDDRILLDOWN
    Planning AreaZCONTROLTO
    Key FiguresMarketing Forecast Qty
    Group byProduct Sub-Family
    Unit of Measure to IDEA
    Currency to IDUSD
    TypeDistribution->Pie
    FieldValue
    Versions/ ScenariosBaseVersion
    AttributesProduct Sub-Family > Values Series 2, 3, 4

    Note

    If you do not see a filter for the Product Sub-Family attribute, use the hyperlink Filters on the top right of the screen and search/add more filters.
    1. In the General Planner group, choose Analytics Advanced.

    2. Choose CreateAnalytics Chart. The Chart Create screen displays.

    3. In the right panel, enter the details from the first table.

    4. In the chart filter section, enter the details from the second table.

    5. To render the chart, choose Play.

    6. To save the chart, choose Save.

  2. Create a drill-down using the following details:

    FieldValue
    NameDD_to_Product
    DescriptionDD_to_Product
    1. To edit the chart T##DEMANDDRILLDOWN, choose Edit.

    2. To create a drill-down, click a data point in the pie chart.

    3. Click the drill-down icon next to the play/pause button.

    4. Verify that Create is selected.

    5. Enter the details from the table.

    6. In the Basic Settings for the drill-down chart, in Group By, select Product ID.

    7. Change the type to Heat Map (in the Comparison Group).

    8. To render the chart, choose Play.

    9. To save the chart, choose Save.

      Note

      You can create multilevel drill-downs, depending on the complexity of the master data and individual reporting needs.
  3. Create second level drill-down grouping the information on Month level:

    1. To create a drill-down, click a data point in the heat map while in Edit mode.

    2. Click data point selected above in Step 2b

    3. Click the drill-down icon next to the play/pause button.

    4. Select Existing and DD_to_Product in theSelect Drilldown Path pop-up window and then click OK.

    5. In the Basic Settings for the drill-down chart, in Group By, select Month.

    6. Change the type to Column (in the Comparison Group).

    7. To render the chart, choose Play.

    8. To save the chart, choose Save.

  4. Add your chart with the drill-downs to the previously created dashboard and verify your drill-downs.

    When all analytic charts and drill-downs are created, close all the charts and return to the Home screen.
    1. In the General Planner group, choose Dashboards Advanced.

    2. Select the dashboard that you created previously with category Control Tower.

    3. Add the chart T##DEMANDDRILLDOWN to your dashboard.

    4. Execute drill-down from the dashboard to test the functionality.

Demonstration how to Create Planner Workspace with Analytics

Creating Planner Workspace with Analytics

Steps

  1. Create a planner workspace using the following details:

    FieldValue
    NameT## Demand Consolidation
    DescriptionT## Demand Consolidation
    Planning AreaZCONTROLTO
    1. In the General Planner group, choose Planner Workspaces.

    2. Choose Create. The Create Planner Workspace screen appears.

    3. In the dialog box, enter the details from the first table.

    4. To confirm, choose Create.

  2. Add Analytics Chart T## IBP500MAP to the workspace by creating a new workbook, named My Workbook, and a new variant called T## Workbook.

    1. Click on Workbooks button on far left side of screen.

    2. In pop-up screen select Add Workbook/Variant .

    3. Create a new Workbook to your workspace and name it My Workbook .

    4. Select ... and choose Create Variant.

    5. Name your variant T## Workbook.

    6. Once the workbook and variant is set up, select + on the far right of the screen and select Analytics Chart.

    7. In the Add Analytics Chart pop-up screen, choose the T## IBP500MAP chart, which was created in the first exercise and select the Add button.

    8. Choose Save in the upper-right corner to save your adjustments.

    9. Use the Move icon or the panel bar above the chart to move it within the planner workspace.

Demonstration how to Create Analytics Stories

Creating Analytics Stories

Steps

  1. In the Web UI, create a new analytics story to compare Marketing Forecast Revenue with Sales Forecast Revenue using the app Manage Analytics Stories. For opening the story, you need to click through several pop-up screens. For these, use the following data:

    FieldValue
    NameT##Story1
    DescriptionT##Story1
    Data SourceZCONTROLTO
    Conversion Factors

    Currency To ID = EUR

    Unit of Measure To ID = EA

    1. Log in to the Web UI using your ID.

    2. Enter Manage Analytics Stories in the search bar on top of the screen and open the app.

    3. Choose Create to create a new story.

    4. In the pop-up window, provide a Name and Description as indicated in the table.

    5. Choose Next and wait until you are connected to the embedded SAC.

    6. In the next pop-up window, provide the Data Source, which is the planning area in our case, and confirm your selection.

    7. A third pop-up window appears, where you need to provide the Currency To ID and Unit of Measure To ID as indicated in table. Confirm with Set.

      Result

      You have successfully created a new Analytics Story. You should also be able to see your empty story with two sections, in which you can now add charts, numbers, calculations and so on.
  2. Add a time series graph to display the desired data. For this, you need to add a chart to your story, which can be added via the Insert section in the toolbar of the app. When choosing to add a new chart, the Builder appears on the right side of the screen, where you can maintain the required inputs for your chart. After entering the information, validate the output in your story.

    FieldValue
    Chart TypeTime Series
    Measure

    Marketing Fcst Rev.

    Sales Fcst Rev.

    TimeMonth (First Day)
    Filter

    Leave Version = Base Versions

    add Product ID = T-F2##, T-F3##, T-F4##

    1. On the menu bar at the top, choose Charts in the Insert menu to add a new graph to your story. On the right-hand side, a new section displays. Here you find the Builder, where you can define the type of chart, inputs, filters, and so on.

    2. Open the dropdown menu for Currently Selected Chart and choose the Time Series chart type.

    3. In the Measures section, choose the two key figures mentioned in the table.

    4. On the Time dimension, choose Month (First Day).

    5. In the Filters you will see that the Base Version is already added as filter criteria. In addition to that, add your Product IDs to the filter by clicking Add Filters and entering Product ID in the pop-up window. In the next screen, choose your products, as indicated in the table.

    6. Validate the output in the chart.

    7. Click on Create.

      Result

      You should see that your newly created chart gets automatically populated with data.
  3. On the tab next to the Builder, you can switch to Styling (paintbrush symbol). Here you scroll down to the Number Format to adjust the decimal places to 0. This avoids displaying unnecessary decimal values in your chart.

    1. In the upper-right corner of the Builder, you can see a paintbrush symbol, symbolizing the Styling menu. Open this menu.

    2. Scroll down to the Number Format section, and open up the dropdown menu for Decimal Places.

    3. In the dropdown menu, choose 0.

    4. Note that in your chart on the left, the decimal numbers get automatically removed.

      Result

      Your chart is updated and no decimals are displayed within the graph anymore.
  4. Add a calculated measure to your chart by adding a new measure. You want to simulate how the Sales Fcst Rev. would look like if a price increase of 10% would be realized. For this, create a new calculated measure, in which you multiply Sales Fcst Qty with Sales Fcst Price and with 1.1 (which indicated the 10% price increase).

    1. In the Builder toolbar, choose Add Measure.

    2. In the opened key figure menu, choose Add Calculation to be able to add your formula.

    3. A new pop opens. Confirm Type equals Calculated Measure, and provide a Name Sales Price Increase 10%.

    4. Click into the Edit Formula field and enter the following calculation: Sales Fcst Qty * Sales Fcst Price * 1.1 Note that the system will automatically propose matching key figures and once you confirm them, the name is translated into the technical ID.

    5. Confirm with OK. The chart should update with the measure you just have created manually.

      Result

      You have added a manual ad-hoc calculation to your chart, which has not been predefined in the data model beforehand.
    6. Once you are finished with your Analytics Story, confirm your adjustments with Create or, if you are editing your Story again, after you have already successfully created it, just confirm with Save.

Result

You will see your chart with the three added key figures, including your own, which you have created manually. Of course, you can now provide the chart a name, resize it, or move it to another section in your story.