About SAS Data Management
SAS Data Management is a data management platform from SAS Institute Inc that helps manage data to access its business potential. It combines software, features from the SAS Viya platform, and data management capabilities so organizations can build trusted AI and machine learning models. This platform supports reliable data handling and offers tools that are crucial for today's data-centric environments. SAS Data Management provides reliable solutions for data integration, quality, governance, and security, helping businesses use their data assets effectively. Key capabilities: data integration data quality data governance data security analytics support Best for: organizations that need comprehensive data management solutions to facilitate effective data utilization and compliance.
SAS Data Management by SAS Institute Inc. is a comprehensive, enterprise-grade platform that addresses the full spectrum of data management needs—from integration and quality assurance to governance and transformation. Built to serve organizations with complex and expansive data environments, it provides the critical infrastructure required to ensure that data is unified, accurate, and accessible. The primary value of the software lies in its ability to facilitate better analytics and decision-making through robust tools that support data profiling, cleansing, enrichment, metadata management, and data lineage tracking. One of the platform’s standout features is its functionality. SAS Data Management supports an impressive range of data sources, including traditional databases, cloud platforms, and big data environments like Hadoop. It also delivers advanced capabilities such as real-time data integration, in-database transformations, and event stream processing. These features make it especially appealing to organizations with stringent compliance obligations, as it includes comprehensive metadata and lineage tracking that are critical for regulatory reporting and auditability.
Pros & Cons
- +1. The program attends to all project needs and helps with analysis.
- +2. It is very useful software for analyzing large data sets.
- +3. SAS Data Management is constantly evolving to meet user needs.
- +4. The software allows users to perform complex data analyses.
- −1. Some tools should be clearer to avoid calling support.
- −2. Macros are very complex, especially in debugging.
- −3. Finding specific information can be difficult.
- −4. Debugging macros can be challenging.
Features
Key features
- 1. Comprehensive Data Management
- The software offers a wide range of capabilities to manage data effectively, including accessing, integrating, cleansing, governing, storing, and preparing data.
- 2. AI and Machine Learning Integration
- It is specifically designed to support AI and machine learning tasks by ensuring the availability of trusted, ethical, and bias-free data for model training and operation.
- 3. Augmented Data Management
- The software utilizes AI and machine learning techniques to automate and improve data management processes like data quality, metadata management, and data integration through self-configuration and self-tuning.
- 4. Support for Modern Data Architectures
- It works with various modern data architectures, including data warehouses, data lakes, and data fabrics, enabling users to manage diverse data landscapes.
- 5. Focus on Data Quality and Governance
- The software emphasizes data quality and governance to ensure data accuracy, reliability, and compliance with regulations, which is crucial for making informed business decisions and pursuing digital transformation.
- 6. Collaboration Capabilities
- It facilitates collaboration between business and IT functions, allowing data engineers, analysts, and data scientists to work together to manage and extract value from data.
Additional features
- 1. Data Strategy Support
- Enables organizations to develop and implement a comprehensive data strategy for managing data as a valuable resource.
- 2. Data Access
- Provides the ability to access and retrieve information from various sources, regardless of where it is stored, using technologies like database drivers and document converters.
- 3. Data Integration
- Offers capabilities to combine data from different sources and formats to create a unified view for analysis.
- 4. Data Cleansing
- Includes features to identify and correct errors, inconsistencies, and inaccuracies in data to improve its quality.
- 5. Data Governance
- Provides tools and processes to establish and enforce policies for data security, privacy, integrity, and compliance.
- 6. Data Storage Management
- Supports the efficient and secure storage of data in various systems, including data warehouses and data lakes.
- 7. Data Preparation
- Offers tools to transform and format data into a suitable structure for analysis, AI, and machine learning.
- 8. Support for AI and Analytics
- Specifically designed to manage data for artificial intelligence, machine learning, and general analytics purposes.
- 9. Bias Detection and Mitigation
- Helps in ensuring bias-free outputs from AI and machine learning models through effective data management.
- 10. Support for Large Language Models (LLMs)
- Enables the management of large datasets required for training and operating large language models.
- 11. DataOps and AIOps
- Incorporates new technologies and operations like DataOps and AIOps for modern data management practices.
- 12. Batch Processing
- Supports the processing of large volumes of data in scheduled batches.
- 13. Extract, Transform, Load (ETL)
- Includes ETL processes for moving and transforming data between different systems.
- 14. Structured Query Language (SQL)
- Compatible with SQL for querying and managing relational databases.
- 15. Relational Database Management Systems (RDBMSs)
- Works with relational databases that store information in rows and columns.
Pricing
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About SAS Data Management
SAS Data Management is a data management platform from SAS Institute Inc that helps manage data to access its business potential. It combines software, features from the SAS Viya platform, and data management capabilities so organizations can build trusted AI and machine learning models. This platform supports reliable data handling and offers tools that are crucial for today's data-centric environments. SAS Data Management provides reliable solutions for data integration, quality, governance, and security, helping businesses use their data assets effectively. Key capabilities: data integration data quality data governance data security analytics support Best for: organizations that need comprehensive data management solutions to facilitate effective data utilization and compliance.
SAS Data Management Details
SAS Data Management's In-App Market Place
Does SAS Data Management have an in-app market place?
Yes
How many Mini-Apps in the marketplace?
1
Mini Apps
N/A
Pricing Options
Accepted Payment Currencies
USD ($)
Pros & Cons
- 1. The program attends to all project needs and helps with analysis.
- 2. It is very useful software for analyzing large data sets.
- 3. SAS Data Management is constantly evolving to meet user needs.
- 4. The software allows users to perform complex data analyses.
- 1. Some tools should be clearer to avoid calling support.
- 2. Macros are very complex, especially in debugging.
- 3. Finding specific information can be difficult.
- 4. Debugging macros can be challenging.
SAS Data Management's Support Options
Email Address
askcompliance@sas.comContact
+1-800-727-0025Documentation
https://support.sas.com/en/documentation.lang.htmlCommunity Forums
https://communities.sas.com/Chatbot
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