Data Middle Platform
The key to success in digital transformation
How can companies achieve digital transformation through data middle platform?
The goal of the Data Middle Platform is to break down all data barriers, unify the internal and external data of the organization, and realize the collection, management and application of all business data within the organization through a powerful one-stop platform, which greatly improves the efficiency of enterprise data processing. Get the most out of your data to drive true digital transformation.
How can it be used?
The data middle platform has unlimited application possibilities, and there are different application scenarios in different industries. The data middle platform can be used from marketing, sales, production to logistics, etc. The following are the core functions and concepts of the data center:
LnData DMP, leverage all of your data
End-to-end data services
One-stop platform to optimize the process from data collection to application
Automation
Automate data production, development, maintenance, operation, and application through DataOps
Transparency
Make it easier for users in the enterprise to find available data and control permissions for sensitive data
Centralized
Unified management of data assets to break down data silos between enterprise departments
Friendly for non-developer
Allow non-developers to develop and access data through SaaS platform and low code design
How to use data to drive business growth smartly?
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Data Asset Management Tool
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.
Data Service Trading Platform
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 Platform
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.
Data Processing Engine
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.
Data Governance Management Platform
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.
Data Collection Platform
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.