SAS Visual Analytics - Detailed Review
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SAS Visual Analytics - Product Overview
Introduction to SAS Visual Analytics
SAS Visual Analytics is a comprehensive data analysis and visualization tool that enables users to explore, visualize, and share insights from their data efficiently. Here’s a breakdown of its primary function, target audience, and key features:Primary Function
SAS Visual Analytics is designed to facilitate data exploration, reporting, and analytics through a single, self-service interface. It helps users discover and share powerful insights by visualizing data, identifying key relationships, and predicting outcomes. This tool combines self-service reporting, data visualization, and easy-to-use analytics to support data-driven decision-making.Target Audience
This software is intended for a wide range of users within an organization, including decision makers, business analysts, report creators, and citizen data scientists. It also caters to IT professionals who need to govern and manage data integrity and security. Essentially, anyone who wants to create, share, and collaborate on insights from data can benefit from SAS Visual Analytics.Key Features
Data Visualization and Discovery
Users can visually explore data and create interactive reports and dashboards. The software uses machine learning and natural language explanations to highlight key relationships, outliers, clusters, and other vital insights.Self-Service Analytics
SAS Visual Analytics offers automated forecasting, goal seeking, scenario analysis, decision trees, and network diagrams, all accessible without requiring programming skills. This makes it easier for business analysts to assess possible outcomes and make smarter decisions.Location Analytics
The tool allows users to combine traditional data with location data, providing geographical context to analyses. This helps in identifying location-specific opportunities and analyzing data in new ways.Augmented Analytics
The software automatically suggests related measures and identifies key connections in the data, making it easier to uncover hidden stories and insights. Augmented analytics accelerates the discovery process, enabling users to find insights quickly.Interactive Reporting and Collaboration
Users can create stunning interactive reports and dashboards, summarize key performance metrics, and share them via the web or mobile devices. This facilitates collaboration and allows executives and front-line staff to interact with insights dynamically.Embedded Insights and Custom Visualizations
Users can embed individual visual insights or entire reports into custom web applications. The software also supports the integration of third-party JavaScript libraries like D3 and C3 for custom interactive visualizations.Mobile Accessibility
Native mobile apps for iOS and Android enable users to view and interact with dynamic reports and dashboards on tablets and smartphones.Governance and Scalability
SAS Visual Analytics is built on the SAS Viya engine, which provides high availability, faster in-memory processing, and native cloud support. This ensures the software can handle more users, more data, and various BI and analytical workloads in a consistent and governed manner. By combining these features, SAS Visual Analytics provides a powerful and user-friendly platform for data analysis and visualization, making it easier for organizations to derive actionable insights from their data. SAS Visual Analytics - User Interface and Experience
User Interface of SAS Visual Analytics
The user interface of SAS Visual Analytics is crafted to be highly intuitive and user-friendly, making it accessible to a wide range of users, from non-technical personnel to advanced data scientists.
Intuitive Drag-and-Drop Interface
SAS Visual Analytics features a drag-and-drop interface that simplifies data exploration and analysis. This interface allows users to manipulate and transform data without the need for complex coding, significantly reducing the time to insight and enabling more agile decision-making.
Easy Data Exploration
The platform offers an extremely easy-to-use exploration environment where users can visually explore data on their own. This self-service analytics capability means that users can create and change queries simply by selecting items from a sidebar or dynamically filtering and grouping data items. Autocharting automatically selects the visualization that best suits the type of data chosen, further streamlining the process.
Interactive Visualizations and Dashboards
Users can create a variety of interactive visualizations, including bar charts, scatter plots, heat maps, and geographic maps. These visualizations can be combined into comprehensive dashboards that provide a clear view of key performance indicators (KPIs). This interactive reporting allows executives and front-line staff to quickly interact with and collaborate on insights, slicing and dicing data to find their own answers.
Mobile Access
SAS Visual Analytics provides native mobile apps for iOS and Android, enabling users to access and interact with dynamic reports and dashboards on tablets and smartphones. This mobile access ensures that key decision-makers can stay connected and informed, regardless of their location.
Natural Language Processing (NLP)
The platform includes NLP capabilities, allowing users to interact with data using natural language. Users can ask questions like “What are the sales trends for Q3?” and receive relevant visualizations in response, making querying data more intuitive.
User Experience
The overall user experience is enhanced by features such as “what does it mean” pop-up boxes that provide explanations of analytical techniques, helping everyone understand the data and what the analysis means. The interface is clean and intuitive, with a focus on simplifying the user experience even for complex features. This collaboration between design and engineering teams ensures that the platform is both powerful and easy to use.
Collaboration and Sharing
SAS Visual Analytics facilitates collaboration through features like annotating, sharing, and emailing reports. Users can also receive email alerts when reports are updated or data is changed, ensuring that everyone is on the same page. The integration with Microsoft productivity tools, such as Excel and Outlook, further enhances the ability to share and interact with insights.
Conclusion
In summary, the user interface of SAS Visual Analytics is designed to be highly accessible, interactive, and collaborative, making it an effective tool for users of all skill levels to derive insights from their data.
SAS Visual Analytics - Key Features and Functionality
SAS Visual Analytics Overview
SAS Visual Analytics is a comprehensive tool that integrates advanced analytics, data visualization, and AI-driven capabilities to help users gain insightful and actionable information from their data. Here are the main features and how they work:Data Access, Preparation, and Quality
SAS Visual Analytics provides an intuitive interface for accessing, profiling, cleansing, and transforming data. This self-service capability allows users to prepare their data efficiently, ensuring it is ready for analysis and visualization.Interactive Reporting and Visual Discovery
Users can create stunning interactive reports and dashboards that summarize key performance metrics. These reports can be shared via the web and mobile devices, enabling executives and front-line staff to interact with and collaborate on insights. This feature allows for slicing and dicing data to find answers and better comprehend business performance.Augmented Analytics
The software leverages machine learning and natural language explanations to identify and visualize important relationships in the data. It automatically highlights key relationships, outliers, clusters, and more, providing clear and understandable insights that inspire action. This feature helps users find out why something happened and uncover hidden opportunities in their data.Predictive Analytics
SAS Visual Analytics includes easy-to-use predictive analytics that enable business analysts to assess possible outcomes and make smarter, data-driven decisions without requiring programming. Smart algorithms reduce the need for manual experimentation, and users can work collaboratively with experts to focus on the most relevant aspects. Features include automated forecasting, goal seeking, scenario analysis, and decision trees.Location Analytics
This feature combines traditional data sources with location data to analyze data in a geographical context. By adding the ‘where’ dimension to the analysis, users can identify location-specific opportunities and make more informed decisions.Data Visualization
Users can visually explore data using various visualization tools such as bar charts, histograms, box plots, heat maps, bubble plots, and geographic maps. This helps in quickly interpreting complex relationships and identifying key variables that influence modeling outcomes. Additionally, users can add cell visualizations like bars and heat maps to tables to identify problem points and see trends in the data.Integration with Other Tools
SAS Visual Analytics integrates seamlessly with Microsoft 365 tools, allowing users to access and interact with reports from within Microsoft applications like Excel and Outlook. This integration enhances collaboration and makes it easier to embed insights into daily workflows.Mobile Accessibility
The platform offers native mobile apps for iOS and Android, enabling users to view and interact with dynamic reports and dashboards on tablets and smartphones. This ensures secure access to content both online and offline.Open Integration for Developers
Developers can add custom interactive visualizations using third-party JavaScript libraries such as D3.js and C3. The platform also supports REST APIs, allowing access to SAS analytics, data, and services from any client language. This flexibility enables creative and customized visualizations within SAS Visual Analytics.AI Integration
SAS Visual Analytics can be integrated with Generative AI (GenAI) models to enhance report functionality. For example, users can generate text using Large Language Models (LLMs) like Gemini from Google. This integration involves creating a custom web application that passes data from the SAS Visual Analytics report to the LLM provider, generating text that can be used in various contexts, such as emails or reports. This feature increases productivity by automating the generation of text-based content.Scenario Analysis and Forecasting
The platform allows users to perform scenario analysis to see how changes in different variables would affect forecasts. It also generates forecasts on the fly with forecasting confidence intervals included. The most appropriate forecasting model is automatically selected after running multiple models against the data, simplifying the forecasting process.Conclusion
By combining these features, SAS Visual Analytics provides a powerful and user-friendly environment for data exploration, visualization, and predictive analytics, all driven by AI and machine learning capabilities. SAS Visual Analytics - Performance and Accuracy
Performance
SAS Visual Analytics has made significant strides in improving performance, particularly through the use of the Report Review Pane. This feature analyzes reports, categorizes findings, and provides recommendations to enhance performance and accessibility compliance. For instance, by moving the construction of aggregated data sources and data joins to a data preparation stage, users can significantly reduce the time it takes for reports to load, as demonstrated in the SAS demo. However, performance issues still exist. Users have reported that the solution can be slow, especially in comparison to other business intelligence tools like Tableau and QlikView. The integration of data and the process of masking data can be clunky and need a more streamlined approach. To address performance bottlenecks, it is crucial to follow a step-by-step diagnostic approach, examining each layer of the SAS Visual Analytics system, from the infrastructure to the application layer. This includes monitoring metrics, analyzing job logs, and using tools like Event Stream Monitoring (ESM) to diagnose and solve performance issues.Accuracy
SAS Visual Analytics is known for its advanced analytics capabilities, including predictive modeling, machine learning, and statistical analysis. These features enable accurate forecasting, risk assessment, and decision-making. For example, financial institutions can use SAS Visual Analytics to run predictive models that identify high-risk accounts with a high degree of accuracy.Limitations and Areas for Improvement
Despite its strengths, SAS Visual Analytics has several limitations:User Interface and Customization
The interface can be less intuitive and less customizable compared to other tools like Power BI and Excel. Users often find it rigid and less user-friendly.Data Integration
The data integration capabilities need improvement, particularly in handling spreadsheet types and masking data. The process can be cumbersome and requires a more streamlined approach.Graphics and Visualization
While SAS Visual Analytics is strong in visualization, it could benefit from more 2D graphics options and better support for custom graphs. The current graphics are sometimes criticized for being too reliant on 3D visuals.Support and Updates
Users have reported that the support for SAS Visual Analytics is not as strong as that for other solutions, and the update process can be time-consuming and costly.Embedding Reports
There is a significant need for easier embedding of reports on websites, which is currently a challenging task and requires extensive support from SAS. In summary, while SAS Visual Analytics offers powerful performance and accuracy in advanced analytics, it faces challenges in user interface, data integration, and support. Addressing these areas can significantly enhance the overall user experience and performance of the tool. SAS Visual Analytics - Pricing and Plans
The Pricing Structure for SAS Visual Analytics
The pricing structure for SAS Visual Analytics is quite detailed and varies based on several factors, including the specific features and the hardware configuration.Pricing Tiers
SAS Visual Analytics does not have explicitly named ‘tiers’ like basic, premium, or enterprise, but the pricing is structured around different service combinations and hardware specifications.Hardware Specifications
The pricing is linked to the hardware configuration, which includes varying numbers of cores, RAM, and storage. Here are some examples:- 4-cores 90 GB RAM 250 GB storage
- 8-cores 150 GB RAM 500 GB storage
- 16-cores 270 GB RAM 1 TB storage
- 32-cores 510 GB RAM 2 TB storage
- 64-cores 990 GB RAM 4 TB storage
- 128-cores 1950 GB RAM 8 TB storage
Service Combinations
Prices vary depending on the combination of SAS services you choose. Here are some examples:- SAS Visual Analytics: Prices range from €950 for the 4-core configuration to €20,730 for the 128-core configuration.
- SAS Visual Analytics with Visual Statistics: Prices range from €2,500 for the 4-core configuration to €29,370 for the 128-core configuration.
- SAS Visual Analytics with Econometrics: Prices range from €2,000 for the 4-core configuration to €22,758 for the 128-core configuration.
- SAS Visual Analytics with Optimization: Prices range from €2,750 for the 4-core configuration to €24,342 for the 128-core configuration.
- SAS Visual Analytics with Visual Forecasting: Prices range from €8,900 for the 4-core configuration to €33,995 for the 128-core configuration.
Monthly Pricing
According to another source, the monthly pricing for SAS Visual Analytics starts at around $8,000. This is a general figure and does not specify the exact hardware or service combinations included.Features Available
The features of SAS Visual Analytics are extensive and include:- Visual Data Exploration & Discovery: Use various visualizations like bar charts, histograms, and geographic maps to explore data.
- Predictive Analysis: Perform predictive modeling, data mining, and machine learning tasks.
- Ad Hoc Reporting and Analysis: Create reports in real-time without relying on pre-designed templates.
- Interactive Discovery: Identify outliers, clusters, and relationships through interactive data exploration.
- Location Analytics: Use maps to select data points and enrich demographic data.
- Scheduled Reporting: Send reports at scheduled intervals or based on triggered events.
- Customizable Dashboard: Access relevant tools and visualizations through a customizable dashboard.
Free Options
There is a free 14-day trial available for SAS Viya, which includes SAS Visual Analytics. This trial allows you to experience the advanced capabilities of the software firsthand. In summary, the pricing for SAS Visual Analytics is highly dependent on the specific services and hardware configurations chosen, with no single ‘tier’ structure but rather a range of options based on these factors. SAS Visual Analytics - Integration and Compatibility
SAS Visual Analytics Overview
SAS Visual Analytics is a versatile tool that integrates seamlessly with a variety of data sources and platforms, making it a powerful asset for data-driven decision-making.
Data Integration
One of the key features of SAS Visual Analytics is its ability to connect with multiple data sources. This includes databases, spreadsheets, and big data platforms like Hadoop, allowing businesses to work with real-time data and gain immediate insights. For instance, a retail chain can integrate data from various points of sale, customer databases, and social media platforms to get a comprehensive view of their business.
Compatibility Across Platforms
SAS Visual Analytics is compatible with a range of operating systems and environments. For example, the SAS Visual Analytics Server can be deployed on Linux systems such as Oracle Linux and Red Hat Enterprise Linux, and it supports co-located data storage with Apache Hadoop.
Cross-Device Access
Reports created in SAS Visual Analytics can be accessed and viewed on various devices, including mobile devices, both online and offline. This ensures that users have secure access to content regardless of their location or the device they are using.
Integration with Other Tools
SAS Visual Analytics allows for the integration of custom interactive visualizations from other tools like D3.js, C3 visualizations, or Google charts. This flexibility enables users to bring in different visualization techniques and have them driven by the same data. Additionally, SAS Viya, the cloud-based analytics ecosystem, supports integration with Python through the SWAT (Scripting Wrapper for Analytics Transfer) package, enabling users to leverage open-source graphing techniques like matplotlib.
Version Compatibility
It’s important to note that SAS Visual Analytics reports are not backward compatible. Reports created in a later version of the software cannot be moved back to an earlier version. However, they are forward compatible, meaning reports from earlier versions can be used in later versions.
Location Analytics
SAS Visual Analytics also integrates well with geographic information systems (GIS) through its Location Analytics capabilities. This includes displaying data on maps, defining custom regions, setting points of interest, and performing routing analysis. These features enhance the ability to visualize and analyze data with a geographic context.
Conclusion
In summary, SAS Visual Analytics offers strong integration capabilities with various data sources and tools, ensuring compatibility across different platforms and devices, and providing a flexible and comprehensive analytics environment.
SAS Visual Analytics - Customer Support and Resources
SAS Visual Analytics Support Overview
SAS Visual Analytics offers a comprehensive array of customer support options and additional resources to ensure users can effectively utilize the tool and address any issues that may arise.
Support Options
Technical Support
Users can access technical support through various channels, including:
- Telephone Support: Available for immediate assistance in the U.S., Canada, and internationally.
- Email Support: Users can send emails to the support team for help.
- Online Ticketing: Users can submit tickets through the tech support web form on the SAS website.
Support Levels
SAS provides different support levels based on the severity of the issue:
- Level 1 (Blocker): Critical issues where the SAS production system is down or not functioning. Initial follow-up within 30 minutes.
- Level 2 (Critical): Issues related to data loss, system access, or potential impact on key deliverables. Initial follow-up within 4 hours.
- Level 3 (Major): Incidents impacting a user’s ability to perform tasks without a critical deadline. Initial follow-up within 1 business day.
- Level 4 (Minor): Usage questions. Initial follow-up within 1 business week.
- Level 5 (Trivial): Cosmetic problems. Initial follow-up within the next business week.
Premium and Elite Support
For enhanced support, SAS offers Premium and Elite support tiers, which include benefits such as:
- Technical Support Account Manager
- Premium Support Workshops
- Premium Support Status Reports and Meetings
- Access to Case Dashboard
These tiers also provide additional services like Critical Period Support, Priority Handling, and Application Management Support.
Additional Resources
Training and Education
SAS provides a range of training options, including:
- E-learning: Online courses and tutorials.
- Live Web Classes: Interactive training sessions.
- On-location Training: Training sessions conducted at the user’s location.
- Free Tutorials: Available on the SAS training homepage.
- Learning Subscription: A comprehensive learning program for SAS Visual Analytics.
Documentation and Guides
Users can access extensive documentation and guides through the SAS support website, including:
- SAS Visual Analytics Learn & Support: Detailed resources and guides for using SAS Visual Analytics.
Community and Forums
Users can engage with the SAS community through various platforms, such as:
- SAS Communities: Forums and discussion groups where users can share knowledge and get help from peers.
Video Resources
SAS offers several video resources, including:
- YouTube Tutorials: Step-by-step guides on using SAS Visual Analytics, such as the Quick Start tutorial.
- SAS Video Portal: A collection of videos on SAS Viya and SAS Visual Analytics.
By leveraging these support options and resources, users of SAS Visual Analytics can ensure they get the most out of the tool and resolve any issues efficiently.
SAS Visual Analytics - Pros and Cons
Advantages of SAS Visual Analytics
SAS Visual Analytics offers several significant advantages that make it a valuable tool for data analysis and visualization:Ease of Use
Interactive Data Visualizations
In-Memory Processing
Collaboration and Sharing
Automated Analysis
Scalability and Governance
Customization
Disadvantages of SAS Visual Analytics
While SAS Visual Analytics offers many benefits, there are some potential drawbacks to consider:Learning Curve
Cost
Dependency on SAS Viya
SAS Visual Analytics - Comparison with Competitors
Introduction
When comparing SAS Visual Analytics with other tools in the business intelligence and analytics category, several key features and differences stand out.Advanced Analytics and Predictive Capabilities
SAS Visual Analytics is renowned for its advanced analytics and predictive capabilities, making it a standout in its category. It offers a wide array of predictive analytics, machine learning models, and statistical analysis tools, enabling users to build custom models, perform complex simulations, and generate predictive insights with high accuracy.Data Visualization and Interactive Discovery
SAS Visual Analytics provides extensive data visualization options, including a variety of graph objects such as bar, pie, line, scatter, heat maps, and more. It also supports interactive data discovery, allowing users to easily identify relationships, trends, and outliers. The tool offers precise and responsive layout capabilities, custom sorting, one-click filtering, and synchronized selections across visualizations.Integration and Customization
Unlike some of its competitors, SAS Visual Analytics allows users to bring their own custom interactive visualizations (e.g., D3.js graphs, C3 visualizations) into the platform. It also supports embedding full reports or individual objects in websites and web apps, and offers mobile app development capabilities through the SAS SDK for iOS and Android.User Interface and Accessibility
While SAS Visual Analytics offers a rich and feature-packed interface, it can be less intuitive for new users compared to some other tools. For example, Tableau is known for its drag-and-drop functionality and more accessible interface, making it easier for users of all technical skill levels to perform data analysis and visualization.Alternatives: Tableau
Tableau is a strong alternative that stands out for its user-friendly interface and powerful data visualization capabilities. It offers strong interactivity, such as filters and drill-down options, and excellent sharing capabilities. However, Tableau can be more expensive, especially for individual or personal use, and its free version compromises on data security.Alternatives: Optimizely
Optimizely is another tool that, while not directly comparable in terms of analytics depth, focuses on optimization and experimentation. It is more suited for businesses looking to optimize their online presence through A/B testing and personalization rather than deep data analysis and predictive analytics.Unique Features of SAS Visual Analytics
Geospatial Analysis
SAS Visual Analytics includes geographical map views with Esri integration, enabling the analysis of geospatial data, travel time, travel distance, and demographics data enrichment.Advanced Visualizations
It offers advanced analytical visualizations such as box plots, correlation matrices, decision trees, and forecasting with automatic model selection and confidence intervals.Scenario Analysis
Users can perform scenario analysis to see how changes in different variables would affect forecasts, which is particularly useful for strategic decision-making.Conclusion
In summary, SAS Visual Analytics is a powerful tool for organizations needing deep, data-driven insights, especially in predictive analytics and machine learning. While it may have a steeper learning curve, its capabilities in data visualization, geospatial analysis, and advanced analytics make it a strong choice for those who require detailed and predictive insights. SAS Visual Analytics - Frequently Asked Questions
Here are some frequently asked questions about SAS Visual Analytics, along with detailed responses to each:
What are the key features of SAS Visual Analytics?
SAS Visual Analytics offers a range of features, including data visualization, self-service analytics, and augmented analytics. It allows users to create stunning interactive reports and dashboards, summarize key performance metrics, and share insights via the web and mobile devices. The platform also includes automated forecasting, scenario analysis, and decision trees, all accessible through a self-service interface.How does SAS Visual Analytics support data visualization?
SAS Visual Analytics enables users to visually explore data and create interactive reports and dashboards. It includes various visualization tools such as graphs, charts, scorecards, and dashboards. Users can also bring in custom interactive visualizations using third-party JavaScript libraries like D3.js and C3.What is augmented analytics in SAS Visual Analytics?
Augmented analytics in SAS Visual Analytics uses machine learning and natural language explanations to help users find, visualize, and narrate stories and insights from their data. The software automatically suggests related measures, highlights key relationships, outliers, clusters, and more, making it easier to uncover vital insights.How does SAS Visual Analytics support predictive analytics?
SAS Visual Analytics provides easy-to-use predictive analytics that allow even non-technical users to assess possible outcomes and make data-driven decisions. The platform automatically selects the most appropriate forecasting model after running multiple models against the data, and it includes features like automated forecasting, goal seeking, and scenario analysis.Can SAS Visual Analytics handle big data and large-scale analytics?
Yes, SAS Visual Analytics is designed to handle big data and large-scale analytics. It operates in a single, powerful in-memory environment that supports scalability and governance, making it suitable for analyzing large datasets and performing advanced analytics.How does SAS Visual Analytics facilitate collaboration and sharing?
SAS Visual Analytics allows for seamless collaboration through features like embedded insights, where users can embed individual visual insights or entire interactive reports into custom web applications. It also supports collaboration through dashboards and reports that can be shared via the web and mobile devices.What is the role of location analytics in SAS Visual Analytics?
Location analytics in SAS Visual Analytics combines traditional data sources with location data to provide geographical context. This allows users to analyze data in a spatial context, identifying location-specific opportunities and gaining a more comprehensive view of their data.Can SAS Visual Analytics be integrated with other tools and platforms?
Yes, SAS Visual Analytics can be integrated with other tools and platforms. For example, it supports integration with Microsoft 365 applications, allowing users to access and interact with reports in SAS Visual Analytics from within Microsoft Excel and Outlook. It also supports open integration for developers using REST APIs and third-party JavaScript libraries.Is SAS Visual Analytics available on mobile devices?
Yes, SAS Visual Analytics offers native mobile apps for iOS and Android, enabling users to view and interact with dynamic reports and dashboards on tablets and smartphones.What languages does SAS Visual Analytics support?
SAS Visual Analytics supports a wide range of languages, including Japanese, Korean, Simplified Chinese, Traditional Chinese, Thai, German, Spanish, French, Italian, Polish, Russian, Arabic, Czech, Danish, English, Greek, Croatian, Hungarian, Hebrew, Norwegian Bokmal, Dutch, Norwegian, Brazilian Portuguese, Portuguese, Slovak, Slovene, Serbian, Swedish, and Turkish.How does SAS Visual Analytics ensure data quality and preparation?
SAS Visual Analytics includes features for data access, preparation, and quality. It helps users to quickly prepare and quality-check their data, ensuring that the insights generated are reliable and accurate. SAS Visual Analytics - Conclusion and Recommendation
Final Assessment of SAS Visual Analytics
SAS Visual Analytics is a comprehensive and powerful tool in the AI-driven product category, offering a wide range of features that cater to various business needs. Here’s a detailed assessment of who would benefit most from using it and an overall recommendation.Key Benefits and Features
Data Visualization and Exploration
SAS Visual Analytics allows users to visually explore data, create interactive reports, and share smart visualizations through a self-service interface. This makes it easier to spot important relationships, outliers, and clusters, and to uncover hidden insights in the data.
Advanced Analytics
The platform goes beyond basic analytics by providing tools for predictive modeling, machine learning, and statistical analysis. This helps businesses forecast trends, predict customer behavior, and assess risks with greater precision.
Self-Service Business Intelligence
It empowers users across different departments to generate reports and dashboards without needing IT support. This democratization of data enables faster decision-making and reduces the strain on technical teams.
Location Analytics
Combining traditional data with location data allows for geographical analysis, which can reveal location-specific opportunities and provide a more comprehensive view of business performance.
Integration and Accessibility
SAS Visual Analytics integrates seamlessly with Microsoft 365 tools and offers mobile apps for iOS and Android, allowing users to access and interact with reports on various devices. It also supports multiple languages, making it accessible to a global user base.
Who Would Benefit Most
Large Enterprises
Companies with over 10,000 employees and revenues exceeding $1 billion can significantly benefit from SAS Visual Analytics. It is widely used in industries such as Information Technology, Banking, Financial Services, and Healthcare, where complex data analysis is crucial.
Marketing Teams
Marketers can use the platform to centralize customer information, optimize messaging, and simulate marketing campaigns. This helps in delivering impactful messages and improving campaign effectiveness.
Finance and Risk Management
Financial institutions can use SAS Visual Analytics for risk assessment, fraud detection, and customer segmentation. It helps in identifying high-risk accounts and enabling proactive risk management.
Healthcare Providers
Healthcare providers can explore patient outcomes, track treatment efficacy, and predict future healthcare needs using the advanced analytics capabilities of the platform.
Overall Recommendation
SAS Visual Analytics is highly recommended for organizations seeking a comprehensive data analytics solution that combines advanced analytics, machine learning, and self-service business intelligence. Its ability to handle large datasets, provide interactive visualizations, and integrate with various tools makes it an invaluable asset for making data-driven decisions.
For businesses looking to enhance their data analysis capabilities, especially in sectors like finance, healthcare, and retail, SAS Visual Analytics offers a powerful and user-friendly platform. Its scalability, governance features, and support for multiple languages make it a versatile tool that can meet the needs of a diverse range of users.
In summary, SAS Visual Analytics is a strong choice for any organization aiming to leverage advanced data analytics to drive insights and action.