SAS Visual Analytics is a comprehensive data visualization and analytics platform designed to help users explore, analyze, and share insights from large volumes of data. This self-service solution combines interactive reporting, data exploration, and advanced analytics capabilities in a single, intuitive interface. It leverages SAS' high-performance analytic technologies to process massive amounts of data quickly, allowing users of all skill levels to uncover hidden patterns, trends, and relationships in their data without the need for advanced analytical skills. SAS Visual Analytics is designed to scale to an enterprise-wide level, putting data and analytics in the hands of more people while maintaining governance capabilities. It integrates seamlessly with other SAS Viya products, allowing organizations to leverage a unified analytics ecosystem. The platform supports various data sources, including spreadsheets, databases, social media, and Hadoop Distributed File System (HDFS). With features like automated suggestions for visualizations, natural language explanations, and the ability to embed insights into custom web applications, SAS Visual Analytics empowers users to quickly transform data into actionable insights, ultimately driving better business outcomes.
SAS Visual Analytics excels in its augmented analytics features, which incorporate machine learning and natural language processing to guide users in their data exploration. These capabilities, such as automated suggestions for visualizations, natural language explanations of insights, and automated forecasting, help users uncover hidden patterns and relationships in their data more quickly and easily. Combined with its robust data management foundation, flexible deployment options (including cloud-native architecture), and strong focus on data governance, SAS Visual Analytics offers a powerful, enterprise-grade solution that balances ease of use with advanced analytical capabilities, making it a formidable competitor in the data visualization and analytics market.
Seller
SAS Institute Inc
HQ Location
Cary, North Carolina, USA
Company Website
https://www.sas.com
Contact
+1 8007270025
Year Founded
1976
AI/Machine Learning
Access Controls/Permissions
Ad hoc Analysis
Ad hoc Reporting
Activity Dashboard
Ad hoc Query
Alerts/Escalation
Data import from various sources
custom
Per User Per Month
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How is SAS Visual Analytics in terms of value for money?
for my 10000 people companyHow is SAS Visual Analytics in terms of ease of use?
for my 10000 people companyEnglish
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Danish
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Hebrew
Norwegian
Dutch
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Where in GCC does SAS Visual Analytics have offices?
Saudi Arabia.
United Arab Emirates.
Who are SAS Visual Analytics customers in the Middle East?
Environment Agency Abu Dhabi (EAD): EAD uses SAS Visual Analytics to better predict environmental challenges and drive policy decisions. The platform helps the agency to make data more easily understood and actionable, enhancing their ability to manage environmental data effectively.
Abu Dhabi Judicial Department (ADJD): ADJD leverages SAS Visual Analytics to transform the justice delivery process. The department uses the platform for creating visualizations, improving data quality, and applying AI and machine learning models to analyze judicial data, ultimately benefiting the Abu Dhabi government.
Akbank: Akbank, a fast-growing Turkish bank, uses SAS Visual Analytics to optimize customer communications and reduce campaign costs. The platform helps the bank contact customers through the right channels with the right offers at the right time, significantly improving marketing efficiency.
What is SAS Visual Analytics local address?
Dubai UAE: FZ-LLC, Dubai Media City-Business Central Towers, Tower A- 49th floor, Dubai, United Arab Emirates
Phone: +971 4 448 7600, Fax: +971 4 432 7220
Is SAS Visual Analytics platform available in Arabic?
Yes.
Does SAS Visual Analytics platform use AI? And where?
Augmented Analytics:
SAS Visual Analytics includes augmented analytics features that use AI and machine learning to automatically surface insights and provide intelligent recommendations to users.
The Autocharting feature automatically selects the most appropriate chart type based on the data being visualized.
The Report Review feature analyzes reports and provides suggestions for improvements, including identifying potential accessibility issues.
Data Preparation:
SAS Visual Analytics incorporates AI and machine learning for data preparation tasks, such as data profiling, cleansing, and transformation.
It provides self-service data preparation capabilities with embedded AI to assist users in preparing data for analysis.
Predictive Analytics and Machine Learning:
SAS Visual Analytics integrates with SAS Visual Data Mining and Machine Learning, which provides a comprehensive set of machine learning algorithms and techniques.
Users can build, assess, and deploy machine learning models directly within the SAS Visual Analytics interface.
Natural language generation capabilities are used to create project summaries in simple language, facilitating interpretation of machine learning models.
Forecasting and Scenario Analysis:
SAS Visual Analytics includes automated forecasting capabilities that leverage machine learning to select the most appropriate forecasting model based on the data.
It supports scenario analysis and goal seeking, which can be powered by machine learning models to predict outcomes based on different variable changes.
Text Analytics: SAS Visual Analytics can integrate with SAS Visual Text Analytics, which uses natural language processing and machine learning to automatically find topics, understand sentiment, and extract insights from text data sources.
Is SAS Visual Analytics a web3 company?
No.
Is there any web3 components?
No.
SAS Visual Analytics
By SAS Institute Inc
