Get the business insights you need – on your own. Act quickly. Make decisions confidently. Work more efficiently.
Be more productive by working autonomously.
No need for specialized skills. No coding or SQL required. Our visual interface makes data preparation easy by removing technical barriers and enabling you to blend, wrangle and shape data on your own – where it is then integrated as part of your reporting and analytics pipeline. This frees IT to focus on more strategic work, while you get insights needed to investigate data at will.
Prepare data faster so you're ready for action.
Minimize the time you spend preparing data so you can spend more time analyzing it. Prebuilt transformations and data cleansing functions run in memory to increase processing speed. Advanced analytics, data visualization and data preparation capabilities are seamlessly combined. The result? You have more time to explore data, get answers and react to situations in near-real time.
Reuse data preparation tasks for more efficiency.
Duplicated work wastes valuable time. SAS Data Preparation helps you share automatically generated code with IT so it can be scheduled to run during every source data update. You can also save data preparation plans to be used by others. Shared work leads to more productivity – and everyone benefits.
Collaborate with other team members.
Working with multiple members of your team on the same project has never been easier. With SAS Data Preparation you can share jobs as centrally managed assets. Project activity feeds can be set to notify teams and individuals of changes and updates. You can share and reuse tasks and existing plans, post updates and work together to boost productivity and generate more value from your data.
Free Trial
Try the latest SAS Viya capabilities.
Get a free, 14-day trial of SAS Viya, which includes SAS® Data Preparation, as well as capabilities for the entire analytics life cycle.
KEY FEATURES
With self-service data preparation from SAS, you can access, profile, cleanse and transform data using an intuitive interface. Get the job done without an IT or data specialist.
Data access, preparation & quality
Access, profile, cleanse and transform data using an intuitive interface that provides self-service data preparation capabilities with embedded AI.
Custom chatbot creation
Create and deploy custom, natural language chatbots via an intuitive, low-code visual interface for chatbot-enabled insights and conversational user experiences.
Data visualization
Visually explore data and create and share smart visualizations and interactive reports through a single, self-service interface. Augmented analytics and advanced capabilities accelerate insights and help you uncover stories hidden in your data.
Access data from multiple sources
Access data from flat files, relational data sources, social media, SAS data sets, Hadoop, data lakes, the cloud, Teradata, CSV or text files, or any source defined by licensed SAS/ACCESS® software.
Ability to code
Technical users who prefer to code to access SAS Data Quality routines from SAS code or third-party coding languages (e.g., Python).
Built-in data quality & integration
Prebuilt transformations and data cleansing functions assist data scientists and business users in the exploration, refinement and transformation of data analytical readiness.
Fast, in-memory processing of data
Quickly prepare data for analysis with combined advanced analytics, data visualization and data preparation capabilities. Speed performance with bulk data movement, including parallel read/write for some sources.
Integration into analytics pipeline
Automatically integrate prepared data into the analytics pipeline, creating a seamless data discovery and data preparation user experience.
Machine learning & AI suggestions
Machine learning and AI capabilities scan data and make intelligent transformation suggestions. Accept suggestions and complete transformations at the click of a button –no advanced or complex coding required.
Powered by SAS® Viya®
SAS Viya has a completely redesigned architecture that is compact, cloud native and fast. Whether you prefer to use the SAS Cloud or a public or private cloud provider, you'll be able to make the most of your cloud investment.
Cloud Providers
Conquer all your analytics challenges – from experimental to mission critical – with faster decisions in the cloud. The latest release of SAS Viya is now available on these cloud providers.
Running the latest version of SAS Viya natively on Microsoft Azure, the SAS Cloud manages your entire analytics platform for optimal performance and value.
Microsoft is our strategic partner and preferred cloud provider. With deep integration and a shared road map, SAS and Microsoft are shaping the future of AI and analytics in the cloud.
Designed to be cloud-native, SAS Viya is tested and approved to leverage the same cloud services used by millions of AWS users.
With a commitment to innovation and open-source cloud principles, SAS Viya brings native AI and advanced analytics to Google Cloud.
SAS Viya is bringing the latest DataOps, AI and ModelOps capabilities to Red Hat OpenShift – the leading enterprise Kubernetes platform, built for your open, hybrid cloud strategy.
Explore More on SAS® Data Preparation and Beyond
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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
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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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
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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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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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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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
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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E-Book
Data Preparation Challenges Facing Every EnterpriseData preparation
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Customer Story
Improving loss ratios and profitabilityTriad Analytic Solutions helps insurers benefit from advanced analytics.
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Article
GDPR and AI: Friends, foes or something in between?The GDPR may not be best buddies with artificial intelligence – but GDPR and AI aren't enemies, either. Kalliopi Spyridaki explains the tricky relationship between the two.
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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 considering these ten questions as a preliminary guide.
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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
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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Analyst Report
Now Tech: Customer Data Platforms, Q1 2022This report helps you understand the value you can expect from a CDP provider and how you should select one based on size and functionality.
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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
Streaming data: The ins and outs of this technology buzzwordLearn what streaming data is, why it matters to your business and how it relates to big data, event stream processing, data management and the IoT.
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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
Personal data: Getting it right with GDPRTo learn more about the definition of personal data, why it’s in the news and why it’s being tightly regulated by laws like the General Data Protection Regulation (GDPR), we interviewed Jay Exum, Privacy Counsel at SAS.
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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
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
Identifying potential trouble spotsFlorida DOC turns to SAS Analytics to help improve citizen safety.
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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.
Related Offerings
Check out these products and solutions related to SAS Data Preparation.
- SAS/ACCESS® SoftwareRead, write and update data regardless of its native database or platform.
- SAS® Data QualityImprove the value of your data – and maintain that excellence – for better data-driven decisions.
- SAS® Information GovernanceUnderstand, create awareness of, control and manage data resources for business and IT users while protecting the data.
- SAS® Visual AnalyticsVisually explore all data, discover new patterns and publish reports to the web and mobile devices.
- SAS® Viya®Conquer your analytics challenges, from experimental to mission critical, with faster decisions in the cloud. SAS Viya enables everyone – data scientists, business analysts, developers and executives alike – to collaborate, scale and operationalize insights, everywhere.
