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碩益科技股份有限公司 SOE Technology Inc.

透過 SAP BDC 建構雲端資料中台,整合 Datasphere 與 Analytics Cloud,提供端到端數據價值鏈,將資料轉化為可行動的商業洞察。

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Q:什麼是 SAP BDC 在雲端數據中台的角色

A:SAP BDC 提供強大的數據彙整能力。碩益科技透過此方案建置企業級雲端資料中台,整合 Datasphere 與外部數據,為企業建構完整的數據資產,支撐高階 AI 應用分析

 

Q:如何利用 SAP Datasphere 實現無國界數據治理

A:Datasphere 提供跨雲端的數據邏輯模型。碩益科技協助企業整合分散在各地的子系統資料,無須移動數據即可進行分析,強化資料治理深度,實現即時的商業洞察

 

Q:SAP Analytics Cloud (SAC) 如何輔助數據驅動決策

A:SAC 提供視覺化儀表板與預測分析。碩益科技結合 SAP ERP 數據與 SAC 報表,讓管理者能從瀏覽器俯瞰全球營運概況,將資料轉化為可執行的戰略,加速轉型決策

 

Q:如何建構端到端的數據價值鏈

A:從資料擷取、清理、建模到分析展現。碩益科技利用 SAP 雲端工具(如 Databricks 整合),打通數據價值鏈的每個節點,讓企業每一筆原始資料都能貢獻商業智慧價值

 

Q:碩益科技在 SAP 數據分析方案上有何專業特色

A:我們具備豐富的產業數據建模經驗。能根據企業核心 KPI 設計專屬資料倉儲與分析模型,並透過 Data Lineage 確保數據來源可追溯,提供最可靠的數據驅動轉型方案

 

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Solve data fragmentation and integration challengesBuild a Unified Data Platform
  • Connect SAP and non-SAP data sources
  • Reduce ETL workload and maintenance costs
  • Preserve source semantics to maintain data consistency
  • Provide a real-time, trusted analytics foundation
Improve trust and control over enterprise dataStrengthen Data Governance
  • Standardise metadata and align definitions
  • Clear data lineage with traceable anomalies
  • Easier control of field- and role-based permissions
  • Enhance compliance to meet security standards
Accelerate intelligent applications into productionFlexibly Support AI and Machine Learning
  • Integrate with Databricks for model training
  • Leverage complete enterprise data to improve accuracy
  • Enable models to write back and run within business systems
  • Support large-scale lakehouse computing
Accelerate insights and decision-making speedProvide an end-to-end data value chain
  • Connect data integration, governance, and analytics
  • SAC real-time dashboards deliver rapid visibility
  • Support planning and simulation to strengthen decision-making
  • Enable a single version of truth across the enterprise
Improve efficiency in data and analytics developmentReduce IT Complexity
  • Data virtualisation reduces data movement costs
  • Cloud adoption reduces infrastructure burden
  • Modular expansion makes it easier to meet evolving needs
  • Shorten project delivery and analysis timelines
Build an enterprise-wide data-sharing ecosystemSupport Cross-Department Collaboration
  • Unified semantic models improve shared understanding
  • Data-as-a-service enables reuse
  • Improve collaboration across finance, operations, and frontline teams
  • Make data a common language across the enterprise
SAP BDC Cloud Platform Feature Matrix: Integration, governance, and analytics—delivered in one place
 
Module Key Features Immediate Benefits
SAP Databricks
Machine Learning & AI
Can handle large volumes of structured and unstructured data and connect with SAP business data, enabling enterprises to train models on a more complete data foundation. MLflow manages the model lifecycle, and training outcomes can be written back to SAP systems for predictive analytics and intelligent decision-making. Enable enterprises to run large-scale machine learning and AI models on a lakehouse architecture.
Data Governance The data governance framework provides standardised metadata management, data quality monitoring, classification, and policy controls. Enterprises can define data standards and access permissions before data is shared, ensuring data consistency and compliance. Business teams and IT can share consistent metrics and definitions, avoiding “multiple versions of truth” and strengthening trust in enterprise data usage.
SAP Datasphere
Data Integration
Provides cross-system and cross-cloud data integration capabilities, directly connecting to SAP ERP, S/4HANA, SuccessFactors, Ariba, and non-SAP systems. Its virtualisation and federated data model preserve governance and semantic definitions at the source, enabling analysis without heavy ETL movement. Developers can build analytics and AI applications on a unified semantic model, accelerating data pipeline development.
Data Lineage Visual lineage graphs help users understand calculation logic, field changes, and model relationships—supporting traceability, audits, and quality control. When anomalies occur, lineage analysis can quickly pinpoint the problem node, speeding up troubleshooting and ensuring report credibility. Enterprises can clearly track data flows from source and transformations through to final reports.
Data Access Control Provides granular data access policies. Access can be configured by role, department, region, or data field to protect sensitive data throughout transmission and analysis. Users can only see data within their authorised scope. Integrate with enterprise identity management and meet security standards such as GDPR and ISO, reducing the risk of data leakage.
SAP Analytics Cloud (SAC)
Visual Dashboards
SAC provides cloud-based, real-time BI visual dashboards that connect to Datasphere or SAP business systems, enabling interactive data exploration. SAC supports AI analytics, natural-language queries, and smart explanations to help business teams quickly uncover key insights. Dashboards can be shared across departments and support mobile and browser access, improving decision-making efficiency.
SAC Planning & Simulation
Planning & Simulation
Users can change key parameters based on different assumptions, and the system immediately calculates changes in revenue, cost, or KPIs. Planning data can be integrated with actual operational data, enabling finance and business teams to adjust strategies in sync and build a unified platform that combines analytics and planning. Enable enterprises to build budgeting models, rolling forecasts, and scenario simulations.
CONCLUSION

From technology to insight, SAP BDC helps enterprises see further and act more precisely

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Track Record Display
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