Modernize the planning process using SAP Analytics Cloud

A modern approach to planning: integrating areas of the business with SAP Analytics Cloud

The planning process is still associated by many people with a lot of Excel files that need to be filled out at some point in the year and consolidated. All it takes is one mistake and the whole process has to be repeated. This is often cumbersome for those actively involved in planning. In addition, constant changes in economic markets and increases in energy prices make plans short-term and have to be revised many times a year.

Planning is often done from the point of view of different areas of the company, for example, at the level of sales, finance, or control. Therefore, it is essential to integrate all areas of the company. This often becomes a challenge when plans are created in different tools, by different teams at different levels of regularity and different data granularity.

Looking at the challenges during the plan development process, modern companies are looking to automate it as much as possible. One tool that makes this possible is SAP Analytics Cloud. Combining the functionalities of data analysis and advanced prediction algorithms, it creates the ultimate tool for businesses that want to make informed decisions based on Business Intelligence.

In an era of rapidly changing market conditions and competition, SAP Analytics Cloud is becoming an indispensable support for companies that want to remain competitive and flexible in their decision-making.

Discover the Potential of SAP Analytics Cloud

SAP Analytics Cloud is an advanced analytics and planning tool. It offers businesses a comprehensive solution for data analysis, planning, forecasting, and team collaboration. This innovative tool runs in the cloud, which means users can access it from anywhere and from any device.

SAP Analytics Cloud allows users to create and manage plans, reports, and analyses easily. This enables users to make faster and more informed data-driven decisions.

One of the key features of SAP Analytics Cloud is its ability to integrate different business areas. This tool enables the creation of plans in one place. It allows consistent use of the same templates and data across different areas, such as sales, finance, and management. In addition, it uses advanced predictive algorithms, which significantly reduces the time required for the planning process, allowing experts to focus on more strategic aspects of the business.

Ultimately, SAP Analytics Cloud provides a comprehensive tool that integrates planning, analysis, and team collaboration. This translates into more efficient and accurate decision-making within the company. Through the use of artificial intelligence and machine learning, the tool allows for better use of data in the management process and strategic planning for the future of the company.

Responding to the needs of its customers, SAP Analytics Cloud enables you to:

1. Create plans in one place using the same template across different areas of the business,
2. Replacing the manual planning process with advanced predictive algorithms. This reduces the expert preparation stage from weeks of work to a few hours,
3. Full integration of the reporting and planning worlds, verification of assumed plans and quick and confident decisions, based on advanced analytics available in the cloud platform,,
4. What-if analysis (ang. What-if Analysis) – dynamic simulation of various business scenarios,
5. Defining data accesses by area of expertise and adjusting planning capabilities for designated areas.

Implementing effective planning with SAP Analytics Cloud

In the following articles in this series, we will take a closer look at planning and expand on the topic of supporting this process with the SAP Analytics Cloud tool.

Among other topics, we will touch on such issues as value distribution, version management, authorization issues, automation of the planning process using advanced algorithms, user collaboration, and predictive capabilities of the tool using artificial intelligence and machine learning.