McKinsey pointed out in its March report that corporate business leaders are currently facing a complex environment with human, financial and material challenges. We need to establish a centralized nerve center and create group-wide transparency to improve agile decision-making and form some strategies. The tactical team brings together these different roles, different departments and even different participants to make tactical decisions.

In addition, prediction, adaptability and elasticity are three areas of weakness that the current environment has shown. We must improve the flexibility of the supply chain, be sufficiently predictive, and adapt to changes in different business scenarios and economic situations. Achieve flexible enterprise management and control.


2 How digitalization can help provide visibility quickly

When we do digital presentation, our focused needs are firstly simplification, do we have a simple and concise way to present these complex contents, secondly, agility, can we obtain real-time insights, and scalability , can we do some extended analysis.


3 Respond to changing states

In response to different demand scenarios, take logistics supervisors, sales operations supervisors, supply chain supervisors, corporate financial supervisors and financial directors as examples. They face corporate management problems and have changing response states.


4 SAP Business Analytics Product Overview

As can be seen from the above figure, the current situation of the series of SAP business analysis solutions. The next part is the locally deployed BO, BI, Lumira, Design Studio, Analysis Office, etc. In terms of budget, there is a very powerful BPC for financial budgeting. With merging, the third part is the ability to predict. The upper layer is cloud-based innovation. It is a real-time innovation platform built on the SAP Cloud Platform for analysis, planning, budgeting, and forecasting. It is positioned to provide some real-time displays at the high-level factory and group levels.


5 SAP Analytics Cloud cloud platform

SAC has a 321 feature in it. First of all, it is an integrated platform that integrates the three functions of business intelligence, forecasting, and planning in a simple way, namely BI, Planning, and Predictive. It exists on the cloud platform in a dual-mode manner, and it also provides a development environment. In addition, it can also use direct connection without moving data out of our local system.


6 SAP Analytics Cloud - Business Intelligence

 

In terms of business intelligence, SAC can connect and prepare data and use a browser to access cloud or local data. It supports SAP and non-SAP data sources. It also provides a visual operation interface and does not require the installation of a client. , can realize online design and use a story line mode to build analysis scenarios, monitoring, in-depth exploration and root cause analysis. It’s also very easy to interact with your team, use permissions to control who can view and edit your analysis, and receive notifications on any device.


7 SAP Analytics Cloud – Budgeting and Planning

In terms of budgeting and planning, it also provides a very simple way to modify models and planning models, making it easier for us to adjust and proofread financial and business plans, and directly integrates with SAP BPC.


8 SAP Analytics Cloud - Predictive Analysis

In terms of predictive analysis, it has some built-in machine learning functions, which can analyze the main business drivers behind core KPIs, simulate possible results based on business scenarios, and provide an intelligent judgment through machine learning before going to the backend. Conduct insights and simulations.


9 Data connection of SAP Analytics CLoud analysis cloud platform

For ERP, S/4, ECC or cloud-based S/4HANA Cloud, you can use direct connection or data upload. You can consume directly through some default CDS Views. We can open some communication areas to connect directly. SAC provides a complete data preparation, data governance and connection control functions for data connection. At the same time, we can refresh data manually or in a planned manner.


10 SAC analysis application methods

The analysis application method of SAC is: create model-create story-create Digital Boardroom-result sharing. The first is to build a model. We can analyze the data structure and data quality we obtain through data card view or grid view. Once the data is ready, business personnel can be supported to quickly create visual analysis stories and personalized dashboards. , on an integrated platform, it can provide a more comprehensive analysis experience, allowing users to quickly and conveniently conduct more in-depth analysis while viewing charts and data. In the data story, we can also add maps or draw graphics, and then based on the created Story, create a responsive and smooth Boardroom through intuitive drag-and-drop methods, and finally share the results.


11 Manufacturing Enterprise Intelligent Operation Center System Architecture

As shown in the figure above, the system architecture of the manufacturing enterprise's intelligent operation center includes different underlying business systems, including ERP, MES, BPM, etc., as well as some ECXEL data input and many unstructured data sources. For real-time business data, it is adopted In the ETL and CDC method, its data platform is stored in the BW4/HANA data warehouse. After accessing BW, some basic fact tables, dimension tables, snapshot tables, temporary tables, etc. are established to form a data set and establish it. The structure of the analysis and different themes present dashboards for different businesses, and then SAC is used to build the factory's combat laboratory.


12 Create a digital boardroom

Create a digital boardroom first based on SAC's data story, and then create a multi-screen interactive display through some intuitive drag and drop. After formulating the display story, put it together into a digital board, formulate the way to display the report, arrange the content on multiple screens to make some linkage settings, then set up some display processes, and create some data story lines , monitoring, discovery, insights and subsequent interactions based on different topics.


13 Examples of three-screen linkage in the digital boardroom

This is an example of the three-screen linkage of the digital board of directors. The leftmost is its homepage, the middle is the analysis layer, and the far right is the insight layer. For the senior leaders of the company, he will hope to have an analysis on different topics, such as the overall financial capabilities, cash payment capabilities, solvency, sales capabilities, profitability, etc. These capabilities are broken down to the bottom layer. The analysis of specific business data will also be combined with the board of directors, so that plan adjustments and subsequent implementation and tracking can be carried out.

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