How Can Enterprises Achieve Data Transformation with LnData Middle Platform?

The LnData Middle Platform provides a one-stop data governance solution, breaking data silos and unlocking the full potential of enterprise data.

Addressing Data Utilization Challenges to Drive Transformation

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.

Features

What is a Data Middle Platform?

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.

Core Functions of LnData Data Platform

The Key to Successful Data Transformation for Enterprises

Data Collection and Integration

Comprehensive Data Collection and Integration Solutions
Collect data from various sources (such as ERP, CRM, POS, MES systems, etc.)
Integrate structured and unstructured data
Automated data cleansing and transformation

Data Governance and Security

Comprehensive Data Governance and Security Mechanisms
Establish data standards and regulations with access control
Ensure data quality and consistency
Implement data security and privacy protection measures
Enable data exchange through a secure data workspace

Data Warehousing and Management

High-Performance Data Storage and Management Platform
Build a scalable data warehouse
Provide efficient data storage and queries
Develop a low-code platform to help business users access data

Data Analytics and Applications

Advanced Data Analytics and AI Application Integration
Automated analytics tools and dashboards for quick insights
Support machine learning model development with necessary tools and environments for training and deployment, enabling predictive analytics and automated decision-making
Integrate AI applications: Connect the data platform with AI applications such as Customer Relationship Management (CRM) systems and marketing automation platforms

Why Choose LnData Middle Platform?

Core Technologies and Advantages
Core technology diagram
  • End-to-end data services
    End-to-end data services

    One-stop platform to optimize the process from data collection to application

  • Automation
    Automation

    Automate data production, development, maintenance, operation, and application through DataOps

  • Transparency
    Transparency

    Make it easier for users in the enterprise to find available data and control permissions for sensitive data

  • Centralized
    Centralized

    Unified management of data assets to break down data silos between enterprise departments

  • Friendly for non-developer
    Friendly for non-developer

    Allow non-developers to develop and access data through SaaS platform and low code design

city background
數據中台Data Middle Platform

Two Major Application Scenarios of LnData Data Platform

Marketing Data Platform

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.

Sustainability Data Platform

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.

Learn More About Industry Applications

Clients from different industries can leverage data platform technologies to enhance data value efficiently, regardless of varying business needs and scenarios.

Manufacturing
FMCG
Tourism
Finance
Retail

Manufacturing

By integrating equipment, production line, and maintenance data, the data platform enables predictive maintenance, reducing downtime and costs in the manufacturing industry. Additionally, analyzing production parameters improves product quality and yield rates. The data platform also optimizes supply chain and production scheduling to enhance overall efficiency.

How to Leverage Data
for Business Growth?

consult
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.