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Author's profile photo Christine Virjee

SAP Analytics Cloud content: What’s new with CI8

Blog Series

What’s new with Content Innovation 8

In this blog post we will show more details on newly added and enhanced packages with Content Innovation 8 (released 21st of May 2018).

Here is an overview of the updated and newly released packages. Screenshots and further details can be found on the SAP Analytics Cloud Website, in the Roll-out Slide Deck or in the documentation. Also, find the lastest information on youtube.

General Enhancements


Lines of Business

General Enhancements

In addition to the Roll-out slide deck, we have also published a new Content Inventory which helps you identify which features are used by a particular package.

You can download the overview together with the Roll-out Slide Deck.


There are 4 new industry packages released or updated with content innovation 8. Let’s have a closer look at each of them:


The existing Banking package was enhanced with 2 new stories which are Liquidity Management and Financial Planning

  • With Liquidity Management you can conduct a real time intra-day analysis of liquidity positions including counterparty, channel, currency and client dimensions
  • Financial Planning helps you simulate the influence of various revenue and expense KPI’s on profitability using a Value Driver Tree planning simulation

The existing Insurance package was enhanced with the IFRS 17 accounting standards and also includes an additional story:

  • Financial Planning helps you simulate the influence of various revenue and expense KPI’s on profitability using a Value Driver Tree planning simulation
Real Estate Management

The new Real Estate Management package comes with one new Location Management story, with the following pages:

  • Portfolio Overview: A corporate real estate manager gets transparency about all buildings he is responsible for, globally, regional or on site level. Indicators like size, age, occupancy and ownership are visible high level and allow further deep dive for details. Various story filters support quick access to most relevant key figures.
  • Area Details: Area details support analyses about space usage in sqm. Categories like workspaces are in focus for corporate real estate managers and main drivers for measurement of building efficiency.
  • Occupancy Details: Efficient building management requires active management of workplaces. The number of target capacity compared to occupied and available workplaces – separated by workplace types like dedicated, shared or hot desk, allow this insight to action. Customers using sensors measuring workplace utilization might combine this data.
  • Table Views: For operational reporting users might require further data drill down, filtering or export. Therefore the table views grant access to additional functions like these.
Rural Sourcing Management

The SAP Rural Sourcing Management Reports provide exemplary reports with data that can be generated with the SAP Rural Sourcing Management, a mobile cloud application for capturing smallholder farmer transactions. The following 4 reports for different stakeholders providing insights about a possible cotton production scenario.

  • Cotton Company Report: Insights about regional productivity and ginning operations, including important KPI such as amount of seed cotton production and number of smallholder farmers. Information about different trainings attended by smallholder farmers. Farmer production compared to delivery agreements, amount of input supplies used by farmers.
  • Cotton Government Report: Aggregated information about productivity and input supplies. Filterable by region and type of input supply, such as e.g. mineral fertilizer, herbicide or cotton seeds. Total numbers of farmers who attended specific trainings.
  • Cotton Smallholder Report: Overview about individual farmers. Insights about cotton produced, sold and earnings. Furthermore, listing of all transactions of selected farmer, including buying station where product was sold, amount and cash flow.
  • Cotton Sustainability Report: Distribution of farmers by gender, trainings attended, distribution of farmers by region, filterable by season or region. Check how much the sustainability criteria is fulfilled, e.g. criteria to become a certified farmer. For example, fertilizer used per hectare does not exceed specific amount.

Lines of Business

Advanced Compliance Reporting (ACR)

This new package come with a new story on Compliance Reporting, with the following pages:

  • Overdue Criticality: As a CFO of a multinational company, you are responsible for the mandatory legal reporting of indirect taxes for all supported countries in short crucial periods to meet the legal requirements. Monitor legal reporting tasks on a global scale in one screen indicating overdue criticality to stay complaint, avoid penalties and to be ahead of deadlines.
  • Completion Ratio: Get a complete detailed picture of your pending and completed reports across the world, assigned to multiple accountants and drill down from a region level to each country specific reporting task. Set monthly filters to investigate for a specific reporting period of your reporting entity.
Financial Consolidation for S/4HANA Cloud

SAP Real-time Financial Analytics for SAP S/4HANA Cloud enables analysts or planners to dive into SAP S/4HANA Cloud using a real-time connector.

The package Financial Consolidation for S/4 HANA was enhanced with one new story: Actual Consolidated Reports for Consolidation, which covers all the actuals reports centrally.

Financial Planning & Analysis for S/4HANA Cloud

The package  Financial Planning & Analysis for S/4HANA empowers finance executives to close their books faster and make optimal decisions.

It was enhanced with new capabilities for dynamic time range selection using scroll bars and dynamic time-based P&L calculations. Additionally, dynamic KPI selection was added.

Hybris Marketing

The Hybris Marketing Package was enhanced in the information area Campaign Analytics with one new story and one additional page in the story Campaign Success for Email.

  • Campaign Success for Baidu Paid Search: detailed report based on success data for Baidu paid search campaigns. The story reports on campaign KPIs by different dimensions, such as region, keyword, and search term
  • Campaign Success for Email: new page added which now provides Bounce Reporting analysis
Manufacturing for S/4HANA Cloud

The SAP Real-time Manufacturing (Plan to Produce) content for S/4HANA Cloud enables a analyst to dive into S/4HANA Cloud using a real-time connector. Accelerators include pre-built set of LIVE analytical dashboards, key performance indicators, and enable decision making easier using new charts for Cost Variance (Fixed Vs Variable) analysis by time period.

The content was enhanced with one new story Predictive Cost Analysis, which enables analysts to predict the Cost Variance (Fixed vs Actual) completion with finish dates. It features Predictive Analytics using Time Series Forecasting and Smart Grouping.

Product Cost Planning

Product Cost Planning allows controllers to plan and simulate product costs based on several drivers. Planners can use several drivers like sales volume, commodity price changes or changes in the bill-of-material to simulate the impact on the product costs and profitability of the whole portfolio.

  • Driver correlations: Model the dependencies between certain raw material drivers like commodities and raw material groups. The correlations can be flexibly adapted.
  • Sales volumes and sales prices: Change sales volume and prices for a specific finished good or a whole product category. See the direct impact on the contribution margin.
  • Change quantity assignments of raw materials: Simulate changes in the bill-of-material for certain products and see the impact on the overall spend for certain raw materials.
  • Analyze the impact in various dimensions: The impact of driver changes can be analyzed in various directions, e.g. what’s the impact of a commodity change on the procurement budget for certain raw material groups. See the impact broken down by individual cost components and start optimizing your supply chain.
Project Budgeting & Planning for S/4HANA Cloud

The package Project Budgeting & Planning comes with 2 new stories: Project Budget Formulation and Project Planning Input Form and comes with the following features:

  • SAP Project Budgeting and Planning for SAP S/4HANA Cloud enables planners to capture expense plans in the friendly, flexible, cloud-based user interface of SAP Analytics Cloud.
  • SAP customers can maintain Work breakdown structures (WBS) in SAP S/4HANA Cloud but use SAP Analytics Cloud to capture the project/budget expense projections. The same projections can be monitored in SAP S/4HANA Cloud system and take advantage of robust project expense management features.
  • For detailed information on the offerings, documentation and configuration guides please visit SAP Best Practice Explorer.
Sales Performance and Target Planning

Sales Performance and Target Planning was enhanced with 2 new stories: Territory Target Planning and Employee Quota Planning. Those stories replace the previous Sales Target Planning Story which will receive no further enhancements. The existing story General Sales Performance remains unchanged.

The new stories enable you to performa the following planning scenarios, based on a data acquisition connection to SAP Hybris Cloud for Customer:

  • Territory Target Planning: Top down Target planning by Territory having the following planning steps:
    • Set target revenue baseline
    • Setup Seasonality
    • Allocate revenue to Product Groups
    • Plan revenue for territories
  • Employee Quota Planning: Quota planning for employees belonging to Sales Units having the following planning steps:
    • Set Quota Baseline
    • Transfer Quota
    • Plan quota for employees
  • Quota Coverage Simulation: Using Quota Coverage Simulation, you can analyze how you should adjust your sales force to achieve desired quota coverage.
Trade Management

Trade Management provides content in the areas of Customer Business Planning and Advanced Trade Management Analytics with a full integration with the standard P&L in SAP Customer Business Planning based on out-of-the-box HANA calculation views. The content includes the following key stories:

  • Monthly Sales Review: The Monthly Sales Review Dashboard and the specific detailed KPI pages are used by consumer products manufacturers to review the performance of retailers and categories right down to product level. The key audience targeted comprises sales directors and key account managers.
  • Sell-In/Sell-Out Comparison Report: Provides an overview of sell-in and sell-out volumes based on a common unit of measure and shows how the retailer’s stock builds up and reduces over time.
  • Retailer View: In consumer products industries, the key account manager (KAM) often talks to the retailer to review how the business plan is progressing and to discuss upcoming and completed activities such as trade promotions. It is important that a KAM can access key information on the plan from a retailer’s perspective. This includes data such as retailer profit and retailer margin. Typically, the retailer uses a formula to calculate his margin that is different from the one the manufacturer uses. Sell-out data is also very important for this scenario.
  • Historical Volume Decomposition: It is essential to know which merchandizing tactics, such as secondary displays or features, generate the best uplift. Of course, this is also true of the retailer shelf price because understanding how consumer price elasticity behaves allows better decisions to be made, for example, when a promotion is created. Having the right merchandizing tactics and retailer shelf prices in a promotion ultimately helps to cut costs because knowledge about a frontpage feature not generating more uplift than say a normal page keeps the investment smaller. Knowing the price elasticity can help to find the right price to generate the necessary uplift to meet sales targets, for example.
  • Holdout Test: Every time data is streamed into the UDF science engine and a new statistical model is created, the accuracy of the model itself and, most important of all, the forecast power needs to be evaluated. If the level of accuracy is not as high as expected, the data scientist or analyst will want to iterate on the customer product combinations that account for a substantial share of unit sales. It is often helpful to review the time series in order to identify data issues or what’s known as model tweaking potential. It’s essential in this step to focus on the most important items, that is products and customers with high unit sales paired with a high MAPE.
  • Market Share Report: Provides an overview of current market shares across categories, sub-categories, manufacturers, brands, and sub-brands. See who wins and who loses in the market and where customers are moving to within the categories.

Leave us a comment below in case you have any questions or suggestions how content could be improved.

Related Resources

Related SAP Analytics Cloud help article

SAP Analytics Cloud content PDF Documentation

Youtube video: Get Sample and Business Content from the Content Library

Overview of existing packages on the SAP Analytics Cloud Website or in the Roll-out Slide Deck

You want to see more blogs about SAP Analytics Cloud content? Go to our main blog or check out the tag SAP Analytics Cloud content on SCN.

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      Author's profile photo Henry Banks
      Henry Banks

      Wow thanks Christine, that Content Inventory list is really useful !

      nice and easy to tell at a glance if the source is Live or Import, reporting or planning, cloud or on-prem etc.

      that's some golden nuggets right there, careful you don't put me out of a job  🙂

      Cheers, H

      Author's profile photo Andreas Reiser
      Andreas Reiser

      It seems that the Product Cost Planning Content is no longer available with CI10?

      Author's profile photo Rolf Sieberg
      Rolf Sieberg

      Hello Andreas,


      you are right, the package had a problem and needed to be re-worked.

      We have finished this work and will publish the package in the upcoming CI11 release (scheduled for Feb 25th).

      Apologies for the inconvenience,