SAS Data Management Features

Provides a wide range of possible data connections, including cloud applications, on-premise databases, and big data distributions, among others

Allows businesses to easily connect to any data source

Offers API connections for cloud-based applications and data sources

Permits profiling of data sets for increased organization, both by users and machine learning

Indexes metadata descriptions for easier searching and enhanced insights

Tools to (re)structure data in a manner that enables quick and accurate insight extraction

Allows self-service joining of tables

Provides the ability to combine data sources into one data set

Allows users and administrators to easily clean data to maintain quality and integrity

Offers collaborative functionality for sharing queries and data sets

Ensures user access management, data lineage, and data encryption

Provides a wide range of possible integrations, including analytics, data integration, master data management, and data science tools

Allows businesses to easily integrate with analytics, data integration, master data management, and data science tools

Operationalizes data workflows to easily scale repeatable preparation needs

Tools to (re)structure data in a manner that allows extracting insights quickly and accurately

Analyzes data to find and recommend the highest value customer segmentations.

Tools to create and adjust workflows to ensure consistency.

Presents information and analytics in a digestible, intuitive, and visually appealing way.

Configure existing workflows to meet your organization's needs

Automates and streamlines business processes by creating a sequence of predefined rules and actions that govern the flow of work

Supports compliance with PII, GDPR, HIPPA, PCI, and other regulatory standards.

Provides guidelines or training related to sensitive data compliance requirements,

Allows administrators to set policies for security and data governance

Monitors data quality and send alerts based on violations or misuse

Active monitoring of systems, applications, or networks

Curates collected data for big data analytics solutions to analyze, manipulate, and model

Facilitates the disseminating of collected big data throughout parallel computing clusters

Compile data from across all systems so that users can view relevant information easily.

Correctly identify inaccurate, incomplete, or duplicated data from a data source.

Utilize deletion, modification, appending, merging, or other methods to correct bad data.

Standardize data formatting for uniformity and easier data usage.

Clean data as it enters the data source to prevent mixing bad data with cleaned data.

Finds duplicates using the fuzzy logic technology or an advance search feature.

Receive data and information in real time

Provide follow-up information after data cleanings through a visual dashboard or reports.

Automatically run data identification, correction, and normalization on data sources.

Schedule automated audits to identify data anomalies over time based on set business rules.

Gives a view of the entire data quality management ecosystem.

Allows user role-based access and actions to authorization for specific tasks.

Lets users build a glossary of business terms, vocabulary and definitions across multiple tools.

Provides a built-in integrated data catalog that allows users to easily locate data across multiple sources.

Monitors and cleanses data with the help of business rules and analytical algorithms.

Visualize data flows and lineage that demonstrates compliance with reports and dashboards through a single console.

Provides an automated data lineage functionality which provides visibility over the entire data movement journey from data origination to destination.

Graphical representation of data

Authenticates and authorizes individuals to access the data they are allowed to see and use.

Helps identify and manage the roles of owners and stewards of data.

Helps adhere to data privacy regulations and norms.

Define levels of authorization for access to specific files or systems

Manage user accounts, profiles, roles, permissions, and other details across applications, devices or networks

Plan, schedule, and execute organization's accounts and assets to ensure compliance with policies and laws

Collect and maintain structured information that describes data or content

Defines, validates, and monitors business rules to safeguard master data readiness.

Allows users to create and review data policies to make them consistent across the organization.

Manage and store data in a database

Allows users to generate text based on a text prompt.

Condenses long documents or text into a brief summary.

Use AI to generate content in the form of text, images, videos, etc.

Allows users to generate text based on a text prompt.

Use AI to generate content in the form of text, images, videos, etc.

Allows users to generate text based on a text prompt.

Condenses long documents or text into a brief summary.

Use AI to generate content in the form of text, images, videos, etc.

Capability to perform complex tasks without constant human input

Ability to break down and plan multi-step processes

Works across multiple software systems or databases

Improves performance based on feedback and experience

Engages in human-like conversation for task delegation

Makes informed choices based on available data and objectives

Set up connections to third-party platforms to improve business processes

Integrates with Active Directory

A virtual assistant that uses AI to pursue goals and complete tasks on behalf of users

Collection, analysis, and representation of numerical data and generation of reports to understand various patterns

Move from one database to another, or upgrade the version of database software being used

Moving and separately storing data that is not actively used or continuous storage of data for compliance purposes

Import, collect, and capture data from multiple sources

A record of all activities within the system, including user access, changes made, etc.

Synchronizing data between two or more devices/systems and automatically updating changes to maintain consistency

Allow users to access multiple services after entering their login credentials once

Alter the layout and content of reports

Examines, analyzes, and organizes data to create relevant summaries or graphs.

Verify the identity of users/devices to enable secure access

Set & manage permission levels based on user roles and restrict access to only authorized individuals

Attach digital tags to documents and assets for identification, search, or monitoring purposes

Securely stores data to prevent data loss or breaches

Protect sensitive data for digital privacy

Compliant with HIPAA, which sets standards for sensitive patient data protection

Security protocol that ensures secure, encrypted communication over the internet, safeguarding sensitive data from unauthorized access

Initiate collection and analysis of known risks

Track the management and flow of data throughout the organization

Search and filter data across systems to locate required information by entering keywords or certain criteria

Online portal through which end users can access the system, manage tasks, or obtain information

Allows users to manage data from a number of sources

Store and organize documents in a centralized system

Application programming interface that allows for integration with other systems/databases

Track and document all activities across devices, networks, and other systems

Data is backed up automatically to prevent data loss

Interact with data visualization elements, such as charts and graphs, to drill down into data

Analyze survey results via statistical testing or crosstabs directly within the software

Software program that continuously adjusts its behavior based on observed data

Automatically retrieve and pull information from documents, websites, images, data sets, and other sources

View and track pertinent metrics to find patterns and gain insights from data

A virtual assistant that uses AI to pursue goals and complete tasks on behalf of users

Track the management and flow of data throughout the organization

Process of extracting, transforming, and loading data

Examine large amounts of data to uncover hidden patterns, correlations, and other insights

Establish guidelines about how much and what kind of data can be stored in the repository

Indexes metadata descriptions for easier searching and enhanced insights

Provides a channel for team members to share media files, communicate, and work together

Search and filter data across systems to locate required information by entering keywords or certain criteria

Create, design and manage workflows for repetitive tasks

A virtual assistant that uses AI to pursue goals and complete tasks on behalf of users

Set up connections to third-party platforms to improve business processes

Synchronizing data between two or more devices/systems and automatically updating changes to maintain consistency

Import and export data to and from software applications

Rules followed by the software/AI can be configured by users to suit their specific needs

Verify, organize, manage & store enterprise data assets in a centralized repository

Observe and track the demand, usage, progress or quality of a system, product, or user

Translate EDI formats into data suitable for use with company applications.

Allows users to manage data from a number of sources

Online portal through which end users can access the system, manage tasks, or obtain information

A collection of customer information such as contact details, demographics, previous interactions, etc.

Process of checking different types of data for accuracy to avoid errors or inconsistencies

Move from one database to another, or upgrade the version of database software being used

Manage and support multiple languages

Allow users to access multiple services after entering their login credentials once

Compare new data with existing records to detect duplicate entries

Extract email addresses from multiple data sources

View and track pertinent metrics to find patterns and gain insights from data

Examines, analyzes, and organizes data to create relevant summaries or graphs.

Automatically retrieve and pull information from documents, websites, images, data sets, and other sources

Track the management and flow of data throughout the organization

Verifies and confirms the accuracy of an address

Looking at data from different sources and finding possible duplicates, or identical matches

A set of indicators that tracks the performance of networks, applications, systems, teams, etc.

Interact with data visualization elements, such as charts and graphs, to drill down into data

Track revisions and updates made to files and navigate between different versions

Application programming interface that allows for integration with other systems/databases

Import, collect, and capture data from multiple sources

Define levels of authorization for access to specific files or systems

Track and manage adherence to policies for any service, product, process, or supplier

Discover and connect variety of data sources to the application for analysis