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碩益科技股份有限公司 SOE Technology Inc.

碩益科技導入 Microsoft Fabric 數據整合平台,打造以 OneLake 為核心的數據中台架構,整合數據工程與 SaaS 數據分析能力,強化企業大數據與 AI 數據基礎,全面提升營運決策效率與數位轉型競爭力。

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Q:如何透過 Microsoft Fabric 建立企業一站式數據中台

A:碩益科技協助導入 Microsoft FabricOneLake 為核心架構。整合數據工程、數據治理與科學分析,將分散的 ERP 與外部資料集中管理,打造企業數位轉型的數據核心

 

Q:什麼是 OneLake 在數據整合平台中的價值

A:OneLake 像是一個企業級的 OneDrive。碩益科技協助企業建立統一的存取標準,消除重複開發,讓各部門分析師能各取所需,大幅提升數據工程的效率與數據共享性

 

Q:如何利用 Microsoft Fabric 強化 AI 應用的基礎

A:AI 成功取決於優質數據。碩益科技透過 Fabric 平台的數據清理與標註功能,建構乾淨的數據管道(Data Pipeline),為企業導入 AI Agent 提供最穩健的大數據架構

 

Q:碩益科技如何協助企業落實 SaaS 數據分析

A:我們利用 Fabric 的軟體即服務特質。減少企業維運硬體與基礎架構負擔,讓團隊專注於商業指標開發,透過 SaaS 數據分析快速產出戰略報告,提升企業數位化的反應速度

 

Q:為什麼 Microsoft Fabric 是數位轉型的轉折點

A:它大幅降低了數據整合的技術門檻。碩益科技顧問團隊協助企業無縫接合 SAP 與 Microsoft 生態系,實現全面的數據驅動決策,將大數據轉化為實質競爭力與獲利能力

 

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Cross-system data fragmentation makes consolidation time-consuming and costlyData Silos Make Integration Difficult
  • Systems operate independently and are difficult to connect
  • Lack of a unified data view
  • High costs caused by duplicate data storage
  • Low efficiency in cross-department collaboration
Maintaining multiple tools creates high technical barriersFragmented Tool Ecosystem
  • Confusing license and permission management
  • Steep learning curves for technical staff
  • Frequent system compatibility issues
  • Heavy IT maintenance burden
Batch processing delays cause missed market opportunitiesLack of Real-Time Business Insights
  • Reporting data is outdated
  • Unable to monitor business status in real time
  • Slow response to decision-making
Access control is difficult, making compliance audits challengingData Governance and Security Risks
  • Sensitive data is prone to leakage
  • Complex and fragmented compliance audit processes
  • Data access permissions are hard to trace
  • Lack of unified monitoring and control mechanisms
Lack of AI foundations slows down digital transformationAI Applications Are Difficult to Implement
  • High barriers to model development
  • Insufficient high-quality training data
  • Difficulty integrating AI into business workflows
  • Shortage of AI talent
Storage and compute are not separated, making costs difficult to estimateHidden Costs Are Hard to Control
  • Data duplication leads to wasted storage
  • Continuous accumulation of historical data increases costs
  • Multiple authoring tools add to licensing expenses
  • IT budgeting becomes unpredictable
Form Design & Workflow Management Modules — Overview
 
Module Key Features Immediate Benefits
OneLake Unified data architecture similar to OneDrive, with a single-copy design Eliminates data silos, enables shared access without duplication, and significantly reduces storage costs
Synapse Data Engineering High-performance big data processing based on Spark Accelerates data pipelines and enables efficient processing and transformation of large-scale datasets
Synapse Data Warehouse Industry-leading SQL performance and scalability Improves query speed; separates compute and storage to handle massive data volumes with ease
Data Factory Visual ETL pipelines for data integration Simplifies data integration with over 150 connectors and low-code/no-code pipeline design
Real-Time Intelligence Event-driven streaming analytics Enables real-time responses by ingesting IoT and event data for immediate business actions
Power BI Deeply integrated business intelligence and visualization Delivers interactive reports directly from OneLake without data duplication
Copilot in Fabric Generative AI–powered data assistance and analytics Boosts productivity by generating code, building reports, and exploring insights using natural language

Business Benefits

“Immediate, Visible Impact”

%
Significant reduction in total cost of ownership (TCO)
%
Data integration time reduced
%
Improved data consistency and accuracy
%
Reduced information security risks
%
Accelerated AI innovation and adoption
Open architecture supporting access across multiple cloud environmentsSeamless Integration with the Azure Cloud Ecosystem
  • Supports connectivity to AWS S3
  • Compatible with Databricks formats
  • Built-in OpenAI model services
  • Enterprise-grade security and compliance standards
CONCLUSION

Unlock the potential of data and drive enterprise intelligence transformation with AI

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