CDP

DataHub

DmartechX DataHub is a CDP included in the software suite(Customer Data Platform), which creates a comprehensive, customer database that can be accessed through other systems to help you analyze, track and manage customer interactions.

Edit Content
Collection and Harmonization of All First-party Data
Customer Data Management

Customer Data Activation

Role of the CDP (Customer Data Platform)

  • Collection and Harmonization of All First-party Data
  • Customer Data Management
  • Customer Data Activation

DataHub Architecture

DMartechX - DataHub Function

  • Multiple types of databases can be interfaced.
  • Powerful metadata management capabilities, including discovery and extraction, metadata storage, governance and security.
  • Data access control and traceability.
  • Desensitization of critical data.
  • Realize multi-source data processing and return standard results by configuring specific data processing logic.
  • Custom APIs are implemented through configuration to provide data services to external systems.

Metadata Management

The metadata has two built-in categories of user attributes and user events that describe the content of the customer data.

Metadata fields and data mapping relationships can be added as appropriate.

Supports multi-dimensional data management.

The ID engine implements OneID.

Data source Management

Support a variety of data access methods to achieve a full range of data collection.

Visualize the data access and ETL process.

Supports data desensitization.

Compliance with multinational privacy protection norms.

Customer Data Model

Built-in support for common models such as basic model, RFM model, lifecycle model, value model, loyalty model, and so on.

A 16-zone classification model can be constructed based on event dimensions and attribute dimensions for a clearer understanding of customers.

The data analytics engine supports both real-time and periodic analysis.

DataHub Labeling System

  • The tagging system builds characteristic attribute descriptions for users based on user data (user attributes + behavioral data).
  • The system supports automated label matching and tagging operations. The labeling system works with real-time journeys, periodic journeys, user segmentation, and customer data models.
  • The labeling system supports user dynamic and static segmentation, automatically updating labels based on changes in user behavior.

DataHub Data Application

  • DataHub provides OpenAPI for third-party calls for customized development, and 100+ API interfaces provide a full range of development support.
  • Marketing automation: personalized marketing to specific users or segments of the population through multi-channel/platform association.
  • Intelligent advertisement placement: Targeted crowd placement can be performed on various advertisement platforms based on user profiles, classification models, and social networks.

DataHub Data Visualization

DataHub has a wide range of typical data reports built-in, behavioral trajectory analysis, marketing funnel analysis, demographic profiling, advertising effectiveness analysis, user retention analysis, and more.

Support customized reports, according to the business needs to select different data dimensions and report calculation methods to generate customized reports.

Includes a data dashboard, which allows you to integrate multiple related reports into a data dashboard to keep track of customer data changes in real time.

Marketing Campaign

Talk to Expert

For inquiries, please contact online customer service.

Edit Content