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Transform Data with SAS Data Management – Integrated Enterprise Solution
SAS Data Management is a robust software solution designed to provide organizations with seamless data integration, governance, and quality enhancement. Built on a fully integrated platform, this...
Transform Data with SAS Data Management – Integrated Enterprise Solution
SAS Data Management is a robust software solution designed to provide organizations with seamless data integration, governance, and quality enhancement. Built on a fully integrated platform, this tool eliminates the need for cobbled-together solutions, offering a consistent and reliable environment for accessing, transforming, and managing vast datasets from diverse sources, including databases, enterprise applications, mainframes, files, and big data systems.
Why Use SAS Data Management?
SAS Data Management empowers organizations across industries by delivering:
- Comprehensive Data Integration: Achieve seamless integration from multiple sources, enabling efficient data movement and transformation processes while ensuring high-quality outputs.
- Advanced Data Quality Tools: Improve data accuracy through sophisticated tools for validation, profiling, and cleansing, ensuring trustworthy data for decision-making.
- Scalability for Big Data: Manage expansive and complex datasets effectively, making it ideal for businesses dealing with big data challenges.
- Streamlined Decision-Making: By integrating and governing data within one unified platform, SAS enhances data reliability for faster, informed decisions.
- Customization and Advanced Analytics: SAS provides capabilities to perform advanced statistical analysis, including econometrics, graph visualization, and survey data analysis, to address complex data needs.
Who is SAS Data Management For?
SAS Data Management caters to a diverse range of users:
- Enterprises Handling Big Data: Perfect for organizations that need to manage, analyze, and govern massive and complex datasets efficiently.
- Data Scientists and Analysts: Enables advanced analytics and statistical procedures, handling everything from economic modeling to handling research-grade datasets.
- Educational and Research Institutions: Supports data preparation and analysis for academic research, making it a valuable tool for higher education and scientific endeavors.
- Government and Public Sector: Used extensively for analyzing epidemiological data, identifying trends, and gaining insights to inform policy decisions.
In conclusion, SAS Data Management stands out as a versatile and scalable solution for data integration and quality enhancement. Whether you’re a large organization dealing with big data, a data analyst seeking advanced analytics capabilities, or a researcher requiring precise and insightful analysis, SAS provides a reliable and integrated platform to streamline your data management process.
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SAS Data management Pricing and Features
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Steps to Cancel SAS Data management Subscription
SAS Data management Pricing
To cancel a SAS Data Management product subscription, especially a free trial:
- Check if you provided credit card details.
- If not, let the trial expire.
- If you did, email
[email protected]to request cancellation. - Avoid waiting until the trial ends to avoid automatic billing.
Most frequent question about SAS Data management
SAS Data Management includes features such as Data Integration, Data Quality, Master Data Management, Data Governance, Data Migration, Data Profiling, Data Enrichment, Data Lineage, Metadata Management, Data Federation, Data Virtualization, Data Masking, Data Archiving, Data Replication, Data Synchronization, Data Cleansing, Data Standardization, and Data Monitoring.
SAS Data Management can work with data from a wide variety of environments and types, including Apache Hadoop, cloud data sources, relational database management systems (RDBMS), files, unstructured data, images, and streaming data. It supports ETL and ELT transformations in diverse run-time environments such as SAS, Hadoop, Spark, and cloud environments.
SAS Data Management provides secured authorization and auditing tools, which add security to the data management program and reduce risk exposure. It also enables the implementation of business rules and policies across the enterprise to ensure compliance, with actions tracked and monitored across the governed environment.
SAS Data Management uses grid-enabled load balancing and multithreaded parallel processing to rapidly transform and move data. It also supports SQL pass-through for popular MPP databases and provides optimized bulk loading for databases like Oracle, Teradata, and DB2. Additionally, it generates high-performance SAS code for efficient processing.
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