Skip to content
Wholesale and retail

Data-empowered digital commerce

To stand out in the global competition, wholesale and retail companies need to tap into process and customer data and think about the value they can extract from analytics. 

We can help
Manufacturing industries

Customer-centric, data-led manufacturing

For manufacturers, true digital transformation starts by envisioning where in the value chain can data be applied to make a difference.

We can help
Public Sector

Accessible and intuitive public services

All public sector services should be designed to serve citizens first. Digital solutions and applications must be easy to use, despite physical and cognitive disabilities.

We can help
Energy and utilities

Dynamic and resilient energy economy

Digital processes and data-led services help energy and utility sector companies develop a stable energy offering with transparent, customer-centric services.

We can help
Digital platform economy

Fast-tracking innovative business models

Shared platforms offer fast entry to new markets, cost-efficiently and scalably. But lasting value add comes from cross-industry collaboration and linking products with complimentary services.

We can help
Banking, finance and insurance

Agile business, customer-centric services

Digitally disrupted, the companies in the banking, finance and insurance sector must actively innovate new approaches to build omnichannel customer experiences that fully utilize data.

We can help
Medical devices manufacturers

User-centric healthcare applications

While medical device software is strictly regulated, there's room for innovations that make life easier for patients and caregivers. Stable and secure data flow is a must.

We can help

Blog: How SAP Analytics Cloud will take your planning to the next level

Juha Minkkinen

June 29 2023

Person typing on laptop with software program open on the screen

Do you have to plan with solutions that don’t support your business environment, company structure, or planning process – even though this means a decrease in planning efficiency and accuracy? We’ve met plenty of customers who are struggling with the same issues. They suffer from slow planning processes due to process or data inconsistencies, different data sources, and a heterogeneous system environment. SAP Analytics Cloud (SAC) is a mature solution that can help improve your planning.

Person typing on laptop with software program open on the screen

Why SAP Analytics Cloud?  

The first question you might be asking is why has SAP developed a new planning tool when they’ve had a good business planning and consolidation (BPC) tool for many years? Indeed, many customers have expressed their concern after hearing that SAP BPC will no longer be supported after the end of 2027. 

The reason why is that SAP has chosen cloud-based solutions as its strategic direction. Cloud-based solutions offer new innovative features, better integration, and ease of use. When using cloud solutions in a browser, they offer a more flexible and secure way to work compared to traditional, often inflexible planning solutions.

To be honest, I was disappointed when I used SAC planning for the first time at a TechEd hands-on session in 2015. Fortunately, SAP took the feedback they received seriously and invested in product development. In recent years, SAC has developed considerably – and in product comparisons it has been highly ranked. 

A wide range of planning futures

SAC includes a wide selection of features familiar from other planning tools, such as: 

  • top-down or bottom-up planning
  • driver-based planning
  • multi-currency planning and reporting
  • creation of planning master data
  • value allocation
  • MS Excel integration
  • control and monitoring of the planning process
  • commenting 

In addition, new innovative features have been developed in the tool, such as private (user-specific) planning versions, predictive planning, and the Value Driver Tree. The Value Driver Tree describes the value flows passing through the model and their hierarchical dependencies. It supports manual adjustment of values and enables a detailed visualization of the effects of different expense and income groups on top-level metrics.


SAC also offers a wide range of features for generating data and simulations on the fly including:  

  • Smart Discovery, which uses artificial intelligence to automatically highlight patterns and relationships
  • Smart Insights, which provides key data, time series forecasting for AI-based automatic prediction of planning metrics along with intelligent grouping for finding relationships and deriving automatic clusters
  • Smart Predict, where AI-based predictions are driven by a manually created predictive scenario

SAP HANA provides an automated predictive library equivalent to SAP Predictive Analytics as well as the SAP Analytics Cloud Smart Predict engine. Application developers can use predictive models directly in the HANA environment using different programming languages ​​such as R, Python, or SQL.

Easy integration

SAC can be integrated into existing systems. SAC can be integrated with, among others, SAP BW/4HANA, S/4HANA, SuccessFactors, and Salesforce. Data from other systems can be imported using OData or a supplier-specific interface. Data can be written to SAP BW/4HANA 2.0, SAP Datasphere, and S/4HANA. In addition, it’s possible to export data to other systems using OData or a supplier-specific interface.

In sum, SAP Analytics Cloud is one of SAP's innovative solutions that provides comprehensive support for the planning process – and can be easily implanted into existing architectures thanks to a wide range of interface adapters. SAC provides planners with easy-to-use smart functions and visualization capabilities. SAC also enables making sub-plans and forecasts, combining operational and financial plans of different organizations into one common plan. 

Did we catch your interest?

Drop us a message, we'll be happy to discuss with you!