自行取得所需的商業洞察、迅速採取行動、自信地制定決策、工作更有效率。
自主工作，實現更高生產力
無需專業技能，也不需要編碼或 SQL。我們的視覺化介面消除了技術障礙，讓您能自行混合、整頓和塑形資料，在報告和資料分析管道中即可進行資料整合，使資料準備工作變得簡單。這讓 IT 人員能騰出時間專注於更具策略性的工作，同時您也能隨意取得調查資料所需的洞察。
更快備妥資料，讓您準備就緒，採取行動
盡量減少花費在準備資料上的時間，讓您可以花更多時間在分析資料上。預建的轉換和資料清理功能會在記憶體中執行，以加快處理速度。進階資料分析、資料視覺化和資料準備功能完美結合。結果會是？您有更多時間探索數據、獲得答案並以近乎即時的方式對情況做出反應。
重複使用資料準備任務，以提高效率
重複工作會浪費寶貴時間。SAS Data Preparation 幫助您與 IT 共用自動產生的程式碼，如此一來就能在每次來源資料更新時，安排執行程式碼。您還可以儲存資料準備計畫，供其他人使用，共用工作模式能提高生產力，使每個人都受益。
與其他團隊成員協作
與團隊多個成員合作進行同一個專案，從未如此簡單。使用 SAS Data Preparation，您可以透過集中管理資產的方式與他人共用工作。可以將專案活動摘要設定為每當有變更和更新時，即通知團隊和個人。您可以共用和重複使用任務和現有計畫、發布更新以及一起合作，以提高生產力，並從您的資料產生更多價值。
主要特色
使用 SAS 的自助式資料準備功能，您可以藉由直覺化介面，存取、剖析、清理和轉換資料。無需依賴 IT 或資料專家，即可完成工作。
資料存取、準備和品質
使用直觀的介面存取、分析、清理和轉換資料，該介面透過嵌入式 AI 提供自助式資料準備功能。
建立自訂聊天機器人
透過直觀、低程式碼(low-code)的可視化介面建立和部署自訂的自然語言聊天機器人，以獲得支援聊天機器人的洞察和對話式使用者體驗。
資料視覺化
透過單一自助式介面，直觀地探索資料、建立和分享智慧視覺效果和互動式報表。增強分析和進階功能可加速洞察，並幫助您發現資料中隱藏的情況。
存取來自多個來源的資料
存取的資料可來自一般檔案、關聯式資料來源、社交媒體、SAS 資料集、Hadoop、資料湖、雲端、Teradata、CSV 或文字檔，或任何 SAS/ACCESS® 授權軟體定義的來源。
編寫程式碼能力
偏好編寫程式碼的技術使用者可使用 SAS 程式碼或第三方編碼語言 (例如，Python) 存取 SAS Data Quality 例常程序。
內建資料品質與整合
預建轉換和資料清理功能，協助資料科學家和業務使用者探索、精簡和轉換資料分析完整度。
快速的記憶體內資料處理
結合進階資料分析、資料視覺化和資料準備等功能，快速準備資料以進行分析。藉由大量資料移動 (包括某些來源的平行讀取/寫入)，加速效能。
整合至資料分析管道
自動將備妥的資料整合至資料分析管道中，打造順暢的資料探索和資料準備使用者體驗。
機器學習和 AI 建議
機器學習和 AI 功能會掃描資料，並提出明智的轉換建議。一鍵便可接受建議並完成轉換。無須進行進階或複雜編碼。
雲端原生
SAS Viya 的架構精實、雲端原生且快速。無論您是喜歡使用 SAS Cloud 還是公用雲端或私人雲端提供商，都能充分利用您的雲端投資。
深入探索 SAS Data Preparation 和更多範疇
若要依類型瀏覽資源，請點選下列選項。
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- 選擇資源類型
- Analyst Report
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- Case Study
- Infographic
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- Video
- Customer Story
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Customer Story
Combating financial crime and terrorism financing with real-time sanctions screeningOrange Bank stays ahead of emerging risks and changing regulations with a cloud-based sanctions-screening solution from SAS and Neterium.
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Article
Big data integration: Go beyond 'just add data'Every business-focused technology requires users to "just add data." This article by Matt Magne explores why that's not as easy as it sounds, especially in a big data age.
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Analyst Report
Gartner Top Strategic Technology Trends for 2023: AI Trust, Risk and Security ManagementLearn why IT leaders must adopt an AI TRiSM to protect their organizations and improve their business outcomes from AI models.
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Customer Story
Identifying potential trouble spotsFlorida DOC turns to SAS Analytics to help improve citizen safety.
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Analyst Report
Gartner positions SAS as a Leader in the Magic Quadrant for Data Quality SolutionsGartner positions SAS as a Leader in the Magic Quadrant for Data Quality Solutions.
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Article
Data governance: The case for self-validationLearn why you should redefine data governance policies to empower customers to be accountable for keeping their personal data accurate, consistent and up-to-date.
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Article
5 steps to sustainable GDPR complianceFollow these steps to achieve GDPR compliance by the May 2018 deadline – and get added benefits along the way.
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Customer Story
Knowing the who, informs the whatThe New Zealand Ministry of Health established the Virtual Data Registry to more accurately identify diabetes sufferers and citizens likely to contract diabetes. They'll use the database to inform policy and spending decisions that will ensure better care for those patients.
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Article
Data management backgrounderFrom data integration to data quality and data preparation, find out what these terms mean and why they’re so important for your analytics projects.
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Article
Data lake and data warehouse – know the differenceData lake – is it just marketing hype or a new name for a data warehouse? Find out what a data lake is, how it works and when you might need one.
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Article
Data integration: It ain't what it used to beOnce limited in scope, data integration now supports analytics and data-driven operational processes like real-time insurance claims processing and IoT apps.
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Article
General Data Protection Regulation: From burden to opportunityThe General Data Protection Regulation stirs up mixed emotions, but Kalliopi Spyridaki shows how to use the new legislation for business advantage.
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Interview
How does one of the largest cities in the world use data for social good? From data privacy to data quality, what are the challenges in using data for social good, and how does one large organization in New York City address them? Hear from a research scientist at the Center for Innovation through Data Intelligence about the data they have, the questions they ask of it, and the data they’d like to see in the future.
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Article
Public health infrastructure desperately needs modernizationPublic health agencies must flex to longitudinal health crises and acute emergencies – from natural disasters like hurricanes to events like a pandemic. To be prepared, public health infrastructure must be modernized to support connectivity, real-time data exchanges, analytics and visualization.
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Article
What big data has brought to the privacy discussionHow does big data impact your privacy? There are ways to balance privacy and security in an increasingly transparent and dangerous world.
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Article
Components of an information management strategyBefore starting a data management strategy for your business, you need to understand each component. Data expert David Loshin breaks them down.
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Customer Story
Improving loss ratios and profitabilityTriad Analytic Solutions helps insurers benefit from advanced analytics.
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Customer Story
A data-driven approach to whole person careRiverside County relies on data integration and analytics from SAS to improve the health and well-being of vulnerable Californians.
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Article
Key questions to kick off your data analytics projectsThere’s no single blueprint for starting a data analytics project. Technology expert Phil Simon suggests these 10 questions as a guide.
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E-Book
Data Privacy: Are You Concerned?Report based on a 2018 survey of 525 US consumers regarding their views on data privacy in light of recent data scandals and the implementation of the General Data Protection Regulation in the EU. It's purpose is to better understand their opinions on data privacy and how it affects their behaviors and trust toward companies.
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Article
The “problem-solver” approach to data preparationNoted technology author David Loshin explains why it's important to know what the problems are before getting data ready for analytics.
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E-Book
Data Preparation Challenges Facing Every EnterpriseData preparation
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Customer Story
Advanced analytics fuels virtual banking with data-driven decisionsAirstar Bank relies on SAS for risk-based customer due diligence, money laundering detection and comprehensive credit risk management.
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Customer Story
Jakarta Smart City uses IoT analytics to better serve residentsJakarta and SAS team up to create an award-winning approach to public services and disaster management.
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Article
How to improve data prep for analytics: TDWI shares best practicesGetting good results from your data means doing a good job of preparing the data for analytics. Find out what TDWI says it takes to get there.
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Customer Story
Transforming the consumer banking experience through advanced analyticsCIMB Singapore uses SAS Viya to enhance business operations and keep pace with changing customer needs.
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Customer Story
Building a culture of analytics empowers university to lead as an educational enterpriseFrom enrollment to graduation, the University of Texas at Arlington uses SAS Analytics for Education on Amazon Web Services to aid in analysis supporting student success and campus strategic decision making.
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Article
The five D's of data preparationFrom discovering which data is best to use, to delivering it in the right format to users, learn why these 5 D’s are essential to data preparation.
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Article
Big data privacy: Four ways your data governance strategy affects security, privacy and trustWith IT and business strategies converging, something that’s a little late to the party is the concept of big data privacy.
