With the rapid upgrading of society's digital capabilities, all walks of life are gradually entering a new era of digital transformation. Especially with the outbreak of AI, data intelligence technology is completely changing the face of this industry. As more and more enterprises begin to apply artificial intelligence, machine learning and big data analysis technology to their business, the value of data is being fully realized. excavation.
Undoubtedly, in the era of digital economy, data has risen to become a new key production factor and asset, gradually surpassing traditional factors such as land and capital, and becoming a more important driving force for social and economic development and enterprise innovation.
However, enterprises still face many difficulties in data asset management. On the one hand, enterprises and organizations gradually have massive data scale and rich application scenarios, and the growth of massive multi-source heterogeneous data poses great challenges to the storage and management of enterprises; on the other hand, every enterprise hopes to become a data-driven However, at present, enterprises are still facing challenges such as high data holding costs, severe data islands, and difficult data governance. This has also led to how to fully release the value of data has become a current problem.
The LeaRun low-code development platform supports multiple data access methods, including support for uploading file data such as Excel, supporting database connections such as Mysql and Oracle, and supporting access to third-party system data through APIs to achieve multi-source heterogeneous data access. This solves the problem that enterprise data needs to cross multiple systems and be approved by multiple business departments. At the same time, it will also face various data quality problems caused by different data definitions, resulting in increased collaboration and communication costs and greatly reduced operating efficiency.
In terms of data processing, the LeaRun low-code development platform provides a visual solution to build applications through assembly and configuration. Users can complete more content forms and configurations by simply dragging and editing. A visual form consists of form templates, form data, and form business rules, so it is also a tool for storing and displaying data. The LeaRun low-code development platform provides style and condition setting functions through view configuration. Users can design a variety of data display methods, or filter data by time, role and other conditions, realize the linkage of data in the form, and export or import data, which is convenient. Users query and manage data to meet diverse needs.
With the advancement of the Internet of Things and big data technology, as well as the increasingly comprehensive front-end sensor data, the software and hardware infrastructure for the implementation of digital twins has gradually improved, and the value of digital twins to the operation and management of the full life cycle of data has gradually become clear. On the basis of visual reports, the LeaRun low-code development platform provides users with visual components and templates related to BI system development, enabling developers to quickly build interactive and graphical user interfaces, and configure them through drag-and-drop interfaces and custom options The chart type, style, color and layout combine physical entities with virtual models to help operation and maintenance personnel visually display the spatial structure and application running status, and provide real-time and comprehensive data feedback and analysis for operation and management personnel.
With the advent of the 5G era, innovative technologies such as artificial intelligence and the Internet of Things continue to develop. With multi-device access and multi-system data fusion and interconnection, new challenges are posed to the intelligent data usage of enterprises. Relying on its rich industry accumulation and market advantages, LeaRun has created a LeaRun low-code development platform that can perfectly cover a variety of scenarios. It integrates core functions such as data integration, data analysis, and data management into a unified platform for visual configuration management. Agile helps users to effectively build a data resource support system in building a digital transformation framework, so as to ensure the success of enterprise digital transformation.