One-Stop Data Platform on Google Cloud

Built on Google Cloud infrastructure and its big data components, this solution delivers a one-stop data development platform. It provides comprehensive data capabilities across the entire lifecycle, including integration, development, orchestration, modeling, governance, security, and services. The platform helps enterprises efficiently build a data mid-office, fully unlock data value, and drive sustained business growth.

Built on Google Cloud infrastructure and its big data components, this one-stop data development platform enables enterprises to efficiently construct a data mid-office, fully unleash data value, and promote continuous business growth.

Industry Pain Points

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Data Silos

Data is scattered across disparate departments and systems, creating isolation and preventing unified utilization.

Data Governance Challenges

Issues include poor data quality, lack of unified standards, uncontrollable security, and continuously rising costs.

Delayed Data Value Realization

Lengthy data development processes lead to slow response to business needs, hindering rapid innovation.

Overly Complex Technical Architecture

Siloed development, inconsistent technology stacks, redundant work, and high maintenance costs.

Low Return on Investment (ROI)

Data teams are bogged down with ad-hoc requests and report generation, unable to build reusable data assets, making their value difficult to measure.

Value Proposition

Reduce Costs & Improve Efficiency

By reusing data assets and services, it avoids redundant development across projects, lowers computing/storage costs, and significantly boosts data development efficiency.

Enhance Quality & Mitigate Risk

A unified data governance system (standards, quality, metadata) ensures consistent, accurate, and reliable data, enabling decisions based on a "single source of truth."

Accelerate Innovation

Data is packaged into standard services like APIs, tags, and models. Business units can quickly acquire data capabilities on-demand, as if shopping in a "data supermarket," to support experimentation in new businesses and scenarios.

Empower Talent

Self-service analytics tools (e.g., BI platforms, tag platforms) enable business users to conduct deep data exploration, freeing the data team to focus on high-value work.

Reduce Costs & Improve Efficiency

By reusing data assets and services, it avoids redundant development across projects, lowers computing/storage costs, and significantly boosts data development efficiency.

Enhance Quality & Mitigate Risk

A unified data governance system (standards, quality, metadata) ensures consistent, accurate, and reliable data, enabling decisions based on a "single source of truth."

Accelerate Innovation

Data is packaged into standard services like APIs, tags, and models. Business units can quickly acquire data capabilities on-demand, as if shopping in a "data supermarket," to support experimentation in new businesses and scenarios.

Empower Talent

Self-service analytics tools (e.g., BI platforms, tag platforms) enable business users to conduct deep data exploration, freeing the data team to focus on high-value work.

Solution Architecture

Customer Cases

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GCP Data Governance Platform for a Gaming Company

A gaming client expanding overseas faced two core data challenges: stringent cross-border data compliance that prevented transferring data to China, and the need for a consistent, efficient data platform in the cloud to reduce learning costs. The company implemented an integrated solution using Google Cloud's big data services and the CyberData platform. This enabled complete in-region data processing—from collection to application—ensuring full compliance with data residency rules. Meanwhile, CyberData delivered a unified user experience aligned with its domestic version, slashing the learning curve, accelerating development, and allowing the team to focus on data-driven business growth.

A gaming client expanding overseas faced two core data challenges: stringent cross-border data compliance that prevented transferring data to China, and the need for a consistent, efficient data platform in the cloud to reduce learning costs. The company implemented an integrated solution using Google Cloud's big data services and the CyberData platform. This enabled complete in-region data processing—from collection to application—ensuring full compliance with data residency rules. Meanwhile, CyberData delivered a unified user experience aligned with its domestic version, slashing the learning curve, accelerating development, and allowing the team to focus on data-driven business growth.