SAS^® Viya^®

全新開放平台

專爲分析創新而打造

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SAS is a Leader in The Forrester Wave^™: Enterprise Insight Platforms, Q1 2019

來自全球領先分析軟體公司的現代開放式平台，輕鬆應對任何分析方面的挑戰，從分析試驗到關鍵任務。

SAS Viya是一個建立於在雲端運算平台的統一環境，可以被資料科學家、業務分析師、應用程式開發人員和管理人員等使用。它具有穩定可靠、可擴充、安全管理管控等一系列敏捷IT所必需的特性。

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Choice
Control

Choice

SAS^® Viya^® delivers the flexibility that drives innovation and creativity.

Programming Languages

Run existing code faster, loading data with minimal changes from your favorite SAS coding client. And expedite decisions from pre-existing programs and assets – on a platform that lets you orchestrate analytical assets written in SAS, Python, R or Lua.

Data Sources

Gain tangible results from all your data – big and small – interactively, on a schedule or while data is in motion. SAS connects to all kinds of data (structured, unstructured, text, documents, audio and images) wherever it resides (in the cloud, on-site, or in your data lakes in traditional systems).

Analytic Techniques

Combine new, innovative analytical methods with an extensive suite of proven approaches. Use a single, visual web interface for iterative model building across domains – from data mining and machine learning to forecasting and text analytics, and from exploration and discovery to statistical analysis.

Deployment Options

Accelerate innovation with processing power and efficiency, whether you’re running in a cloud, on-site or hybrid environment. Code is portable among on-site installations, or from one cloud provider to another, so you avoid vendor lock-in.

Analytical Talent

Break down silos that inhibit collaboration. Make analytics accessible to everyone regardless of skills or experience – data scientists, business analysts, domain experts, application developers and executives. Safeguard your analytical assets against talent attrition by integrating SAS and other languages into a single, underlying code base.

Control

SAS^® Viya^® helps you ensure continual progress and trusted results by maintaining appropriate control over your data, models and processes.

Data + Model Governance

Quickly register champion/challenger models in a shared, centrally managed inventory. Access consistent, governed code from your preferred interface or language – SAS, Python, R or Lua. Consolidate, manage and monitor the processing of SAS and other analytical assets, with lineage traceability across the entire analytical life cycle.

Scalability

Increase processing power as you need it with a consistent, centrally managed environment that scales to address any analytics challenge. A single, underlying code base means there's no need to redefine, recode or reconfigure if your cloud provider, data volume or speed requirements change. Self-healing mechanisms sustain high availability, and automatic disk space utilization in constrained memory environments ensures jobs don't fail.

Deployment

Develop models once and deploy them in just a few clicks to any infrastructure or application ecosystem, without rewriting code. Be confident you're using the best models through automated management and deployment processes.

Security + Privacy

Secure your analytical assets with features such as authentication, authorization and encryption. Follow organizational and regulatory standards for reliance and user access.