The LnData Middle Platform provides a one-stop data governance solution, breaking data silos and unlocking the full potential of enterprise data.
We understand the challenges enterprises face in data utilization. The LnData Middle Platform is dedicated to solving these pain points, helping enterprises build a robust data infrastructure. With a one-stop, automated, transparent, efficient, and low-code platform, enterprises can seamlessly manage the entire data lifecycle from collection and storage to governance and application, fostering an ideal data ecosystem and enabling true data-driven transformation.
The goal of a Data Middle Platform is to break data silos and unify internal and external organizational data. Through a powerful one-stop platform, it facilitates data collection, management, and application across all business operations, significantly improving data processing efficiency and maximizing data value to drive true digital transformation.
One-stop platform to optimize the process from data collection to application
Automate data production, development, maintenance, operation, and application through DataOps
Make it easier for users in the enterprise to find available data and control permissions for sensitive data
Unified management of data assets to break down data silos between enterprise departments
Allow non-developers to develop and access data through SaaS platform and low code design
As consumer footprints become more fragmented and information explodes, brands must invest more effort in collecting and integrating massive amounts of marketing data. For marketers, the top priority is finding an easier way to access and manage marketing data.
With the rapid evolution of global net-zero trends and regulations, enterprises must establish carbon emission management mechanisms early. This ensures comprehensive and accurate tracking of carbon emission data and data quality while leveraging AI for intelligent management, implementing carbon reduction measures, and enhancing ESG competitiveness.
Clients from different industries can leverage data platform technologies to enhance data value efficiently, regardless of varying business needs and scenarios.
The LnData data center performs UI/UX optimization. Through a clear and simple dashboard, all available data assets of the enterprise can be viewed and managed at a glance. Users can freely set different data indicators and dimensions to cooperate with self-service data. The service tool can quickly export the required reports to meet various business needs.
Break down the barriers across organizations, regions, and systems, drive the exchange of data assets, make data monetize and maximize effective value, and create a win-win situation.
Data standardization takes industry standards as the benchmark. Through the visual interface, users do not need to develop programs, and they can flexibly and quickly perform a large number of data standard benchmarking operations. Reduce manual intervention, reduce labor costs, and improve benchmarking efficiency.
Through Cloud Native and data logic layer technology to create cross-cloud and IDC (Internet Data Center) elastic computing and storage capabilities, and easily perform computing resource scheduling. The low code design allows companies to lower the threshold for big data development and cleaning, greatly improve data processing efficiency, and follow data warehousing development guidelines to process enterprise data hierarchically.
As the core hub of the LnData data center, the main task of the data governance platform is to allow enterprises to plan, define and manage diverse and heterogeneous technical and business metadata more efficiently, and to provide the ability to establish data standards, and for data Provide quality verification to help companies improve their data understanding capabilities and help them easily explore and discover data.
Classify and centralize data from different sources, formats, and characteristics through logical rules, and achieve data integration through API data concatenation and unified management, so as to effectively resolve data dispersion, heterogeneity, effectiveness, and timeliness.