The Indicator Management Platform transforms business units into quantifiable, measurable values, making business objectives describable, measurable, and decomposable. A well-structured indicator system is critical — without standardized metrics, executive decision-making, business performance analysis, and the work of IT and data teams all face significant hurdles.
Leading financial institutions in China are now prioritizing the development of enterprise-wide standardized data indicator systems. These initiatives aim to build standardized, shareable data service capabilities, unlocking greater efficiencies in computing, storage, and human resources while enabling faster, more effective data-driven decision-making.
The Indicator Management Platform is an enterprise-grade solution built around the “Three Ones” principle: one indicator framework, one dimension system, and one standardized indicator manual.
By unifying indicator content under a standardized framework, designing a structured dimension system, and implementing comprehensive data standards — including naming conventions, definitions, and calculation methodologies — the platform empowers organizations to extract, utilize, and manage data more efficiently and flexibly.
As a core pillar of the Digital Infrastructure, the Indicator Management Platform is designed to "originate from business, serve business." It establishes a standardized, reusable indicator data system for both business and technology teams. The platform delivers high-quality data services to support business analysis, performance evaluation, regulatory reporting, customer insights, and more — providing the foundational data backbone for various application capability centers across the Digital Infrastructure.
The Indicator Management Platform provides comprehensive indicator processing and management functions tailored to the needs of various business lines of financial institutions, covering a wide range of business scenarios such as precision marketing, risk control, and business decision-making. In addition, it offers customized consulting services for requirements such as business analysis and management dashboards, serving as a strong support for financial institutions to achieve refined operational management.
-
Indicator Management
Enables customized creation of foundational and derived indicators, visual display of indicator trees, advanced indicator search, display of indicator attributes, operation history tracking, and comprehensive lifecycle management.
-
New Indicator Creation
Foundational indicators can be customized based on business needs, including naming, dimensions, units, and business definitions. Derived indicators are created by applying basic arithmetic operations to existing indicators, enabling flexible expansion of the indicator system.
-
Dimension Management
Supports custom dimension creation, advanced dimension search, visualized dimension trees, list displays, attribute information management, and flexible editing capabilities for dimension structures.
-
Root Cause Analysis of Indicators
Facilitates root cause analysis for created indicators to enable continuous quality monitoring. Users can perform single-indicator, multi-indicator, and derived-indicator analyses by setting custom analysis values and benchmarks. Results are presented through fishbone diagrams, flowcharts, and tables, helping business teams quickly identify and focus on key indicator information.
-
Data Services
Provides indicator data services to other systems or users via API interfaces or direct frontend downloads, enabling seamless integration into broader data ecosystems.
-
Comprehensive Functionalities
Incorporates industry-leading practices, offering a full suite of capabilities to meet diverse indicator management needs.
-
High Configurability
Supports flexible, customized creation of indicators and dimensions, arithmetic and logical operations on dimension values, and editable dimension tree structures, empowering users with a highly configurable environment.
-
Powered by Advanced Technologies
Leverages real-time stream processing to enable immediate calculations in highly configurable settings; employs cutting-edge data visualization techniques to distill insights from complex datasets; and integrates similarity calculation, machine learning, and deep learning technologies to enhance rapid and accurate indicator and dimension generation, facilitating efficient audience expansion and business insights.


-
ORIGIEN Data Asset Platform
The ORIGIEN Data Asset Platform integrates data governance, data middle platform, and data tools into a single data intelligence foundation to enhance data governance and unlock the value of data assets.
Experience the Product -
Big Data Platform/Data Lake
Enables integrated collection, management and consumption of middle platform source data, automating raw data ingestion and governance
Experience the Product -
Data Asset Management Solution
Comprehensive consulting services and platform tools covering asset inventory, consumption, governance, evaluation and operations to maximize enterprise data value.
Experience the Product -
ORIGIEN Data Service Platform
The ORIGIEN Data Service Platform provides a unified data service exit, realizing unified market management of data, effectively lowering the barriers to data opening, and ensuring the security of data opening.
Experience the Product -
ORIGIEN Data Development Platform
The ORIGIEN Data Development Platform is a one-stop visual big data development and processing platform, integrating development, debugging, deployment, and operations.
Experience the Product -
Real-time Data Warehouse Development Platform
Enables rapid implementation of unified stream-batch processing capabilities to deliver highly reliable, low-latency data services
Experience the Product -
External Data Management Platform
Delivers secure, efficient and unified external data services to power risk control, customer acquisition and marketing scenarios, enhancing business synergy while accelerating digital transformation.
Experience the Product -
Data Middle Platform
Enables high-level data integration and capability reuse through four key dimensions: platform consolidation, data governance, service development, and scenario activation to achieve data-as-a-service.
Experience the Product