Product Introduction

Guandata Metrics Center is a centralized management platform for enterprise key metrics, providing a complete product solution that integrates metric definition, metric production, metric management, metric search, lineage analysis, and metric services. It helps enterprises establish a unified metrics system and achieve the transformation from data-driven to metric-driven business decision-making models.

Highlights and Advantages

I. [Centralized Metrics Management] The consistency of the metrics platform and the flexibility of BI analysis are organically combined in the same platform, finding a better balance between agility and control, improving business analysis and governance efficiency.

Before: After BI agile analysis reaches a certain stage in customer implementation, the custom metric logic defined by various business parties becomes increasingly numerous, with metrics scattered across calculation fields in various cards. Phenomena such as "same name, different meaning" and "same meaning, different name" become increasingly prominent, leading to skyrocketing costs for open sharing and governance of the entire metrics system.
After (Headless BI): Introducing a metrics center provides a standardized way to centrally define and manage metrics, and provides unified query services for metric consumers, thereby eliminating the phenomenon of duplicate metric definitions, converging metric outputs, and ensuring consistent understanding of the same metrics across multiple business terminals such as various business team users, BI, and other analysis tools.

II. [Define and Produce] Simplifying the threshold for metric definition and application

Before: Maintaining the metrics system and metric definitions in offline Excel documents or traditional metric management tools, while BI and other consumption links need to re-enter calculation definitions. Definition and production are separated, and over time, the disconnection between "management side" and "consumption side" leads to increasingly high maintenance and management costs.

After: Users only need to define the calculation definition of metrics in the metrics center, "define once, consume globally", and BI dashboards can directly reference them without needing to redefine them again in the consumption link.

III. [Metric-Driven Data Analysis] Create reports directly based on self-service metric drag-and-drop

Before: In the process of metric definition, it is necessary to go through the lengthy process of pre-understanding business definitions, then starting from tables or datasets to conduct data exploration to determine data availability, and then to metric calculation definition, even requiring a lot of time to learn ETL or perform modeling through complex SQL.

After: Metrics serve as a universal data language with lower business understanding thresholds, replacing relational tables with metrics and technical language with business language, reducing the threshold for data analysis and collaboration, precipitating key metrics, making organizational collaboration more efficient, transforming from data-driven to metric-driven, making "getting business users to use it" more implementable.

IV. [Open Unified Metric Services] Cross-application consumption of metrics is no longer difficult

Before: Metrics built in BI are scattered in calculation fields of datasets and cards, and other systems cannot reuse them, only through understanding metric definitions and repeating definition development methods to achieve.

After: Based on centralized metrics management and unified metric service open capabilities, "define once, consume in multiple places", providing unified metric query capabilities for BI, CDP, and self-developed data application systems.