Why use an enterprise-level low-code platform?

The purpose of moving to an enterprise-level low-code platform is to ensure that every decision can be implemented reliably and have evidence-based evidence, so that the company can develop steadily and healthily.

Speaking of low-code development, many people may think of drag-and-drop development, visualization, modularization, automation, etc.SAP HR but in fact, the enterprise-level low-code platform is a complete set of enterprise-level digital system solutions whose main purpose is Improve the efficiency of enterprises in building digital systems, accelerate the innovation and implementation of enterprise digitalization, integrate the internal system data of the enterprise, and integrate the main business system data to strengthen information sharing, business analysis, and assist management decision-making.

In order to improve efficiency, reduce risks,sap implementation services and optimize management, enterprises often want to use the value of data to empower their businesses. However, many enterprises have more and more data, but very little can be used to support decision-making. However, the data does not know how to analyze, how to analyze, and what to analyze, and there is a lack of effective data application construction methods.

In addition, even if the enterprise's IT department has built a data management application center,sap erp hk these multi-dimensional data generally come from multiple business systems such as sales, CRM, ERP, OA, etc., and are scattered in different IT systems. It is difficult for traditional systems to handle This kind of data island makes it impossible to tap into the potential data value. This requires an enterprise-level low-code platform to build a digital system to integrate these data and solve the problems caused by "data islands", that is, to become a connector between various enterprise systems.

Generally speaking, by building a digital system through an enterprise-level low-code development platform, enterprises can continuously collect and analyze internal and external data, combined with the support of big data analysis systems or data warehouse platforms, to achieve preliminary data mining capabilities, and finally through visualization and multi-angle The interactive analysis capabilities provide data decision-making to achieve business empowerment and enterprise growth.