Decision visualization: what do managers want after data analysis?

In the digital age, data has become an important core asset of enterprises and businesses. However, data analysis has become an important reference and basis for enterprise decision-making. As managers and decision makers, they always want to make decisions visually. The clearer and more intuitive the data is, the better it can directly reflect the insight behind the data, which can guide the correctness of decisions. But in reality, it is often not so desirable: the data reports made by the IT department are useless to the business department; Let the business department raise demand, and the business department doesn’t think it can start? It partners are very angry: with data and analysis, is this not enough? What do you mean by decision visualization? In that case, you might as well be told by the network experts of acloudear, an enterprise operation digital strategic service provider, what do they want by decision visualization?

The IT department feels wronged by decision visualization

As an IT department, it analyzes the business-related data with the help of data analysis tools, and finally provides suggestions and references for the business department and decision-makers. Finally, it is found that it is not applicable.

Decision visualization, decision makers think I’m not critical

As a decision-maker, I just want more comprehensive insight behind data and analysis. Is this really difficult? Your IT department always feels that I always criticize each other.

What is decision visualization?

Decision visualization is that decision makers can strongly support scientific decision-making through a series of intuitive and visual information, so as to make decision-making transparent and simple. Data and analysis are indispensable. The key is that behind data and analysis, we need to be business oriented. At the same time, we also need to provide decision makers with a series of intelligent references such as intuitive and visual summary, business prediction and plan, so as to truly count as decision visualization.

Therefore, the real problem lies here. What you want and what you can give are not the same thing.

How to realize decision visualization?

We might as well use SAP crystal, the leading SAP Business Technology Platform [BTP business technology platform], which can help decision makers realize decision visualization   For example.

At first glance, SAP   Crystal is more like a data analysis tool, which can analyze and report for small and medium-sized enterprises. If so, you are really wrong! It is a solution combining business intelligence and data analysis.

•  so as to help decision makers fully understand the business situation and share real information, and provide readily available information to colleagues, suppliers, partners and customers;
• obtain required business information from all data sources, share data intelligence throughout the enterprise, and use simple keyword search function;
• gain mission critical insight and take action accordingly, and make full use of runtime engine, flexible API and intuitive report viewer, which can provide an integrated reporting experience.

SAP   Crystal decision visualization solution brings more insight from business information to help enterprises gain greater competitive advantage, which is what decision makers want.

Finally, acloudear’s network experts summarize that the core essence of “decision visualization” is to analyze the business essence behind the data through the data phenomenon, so as to provide an effective basis for decision-making. Such data analysis, to be exact, is the business insight brought by the data, which can escort the decision-makers.

To deeply understand the data insight and business insight behind decision visualization, you might as well start with a series of business intelligence analysis such as SAP BTP and SAP crystal to see how the leading business insight can help enterprises optimize their business, improve decision accuracy and upgrade their core competitiveness.

This article "Decision visualization: what do managers want after data analysis?" by AcloudEAR. We focus on business applications such as cloud ERP.

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