SAS Visual Analytics - Detailed Review
Sales Tools
SAS Visual Analytics - Product Overview
Introduction to SAS Visual Analytics
SAS Visual Analytics is a comprehensive tool within the Sales Tools AI-driven product category that enables users to visually explore data, create interactive reports, and share insightful visualizations. 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 combines interactive data visualizations, automated forecasting, and advanced analytics to help users uncover hidden insights in their data. This platform allows users to quickly identify relationships, trends, and outliers, making it easier to make data-driven decisions.Target Audience
This tool 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
Interactive Reporting and Visual Discovery
Users can create stunning interactive reports and dashboards, summarizing key performance metrics that can be shared via the web and mobile devices. This feature allows executives and front-line staff to interact with and collaborate on insights, slicing and dicing them to find their own answers.Self-Service Analytics
The platform offers automated forecasting, goal seeking, scenario analysis, decision trees, and more, all accessible without the need for programming. This makes it possible for users of various skill levels to assess possible outcomes and make smarter decisions.Location Analytics
SAS Visual Analytics 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 uses machine learning and natural language explanations to find, visualize, and narrate stories and insights. It automatically highlights key relationships, outliers, clusters, and more, making it easier to uncover vital insights.Embedded Insights
Users can embed individual visual insights or entire interactive reports into custom web applications, ensuring that insights are scalable and flexible with live data or embedded data snapshots.Mobile Accessibility
Native mobile apps for iOS and Android enable users to view and interact with dynamic reports and dashboards on tablets and smartphones.Open Integration
Developers can add custom visualizations using third-party JavaScript libraries like D3 and C3, and leverage open source development resources and REST APIs for accessing SAS analytics, data, and services.Multi-Language Support
The platform supports a wide range of languages, including English, Spanish, French, German, Italian, and many others, making it accessible to a global user base. Overall, SAS Visual Analytics is a powerful tool that simplifies data analysis and visualization, making it easier for various stakeholders 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.
Ease of Use
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 businesses to be more agile in their decision-making.
Interactive and Self-Service
The platform offers a self-service environment where users can visually explore data on their own. It combines advanced data visualization with an easy-to-use interface, allowing users to create and share interactive reports and dashboards. This self-service capability enables users to slice and dice data, apply filters, and group data items dynamically, all through a simple and intuitive sidebar or filtering mechanisms.
Data Visualization
SAS Visual Analytics provides a rich set of data visualization options, including bar charts, scatter plots, heat maps, geographic maps, and more. These visualizations can be combined into interactive dashboards that offer a comprehensive view of key performance indicators (KPIs). The platform also includes features like autocharting, which automatically selects the best-suited chart for the data being analyzed, and “what does it mean” pop-up boxes that explain the relationships between variables.
Mobile Access
The user experience extends to mobile devices, with native apps available for iOS, Android, and Windows 10. These apps allow users to access, interact with, and share dynamic reports and dashboards on the go. Users can annotate reports, add comments, and email them to others, ensuring that decision-makers stay informed regardless of their location.
Natural Language Processing (NLP)
SAS Visual Analytics includes NLP capabilities that enable users to interact with data using natural language. This feature allows users to ask questions like “What are the sales trends for Q3?” and receive relevant visualizations in response, making the querying process more intuitive.
Collaboration and Security
The platform supports seamless integration with Microsoft Office applications, allowing users to open dynamic reports directly within familiar tools like Excel and Outlook. It also includes features for collaboration, such as the ability to annotate and share reports, and ensures data security through role-based access controls, data encryption, and audit capabilities.
Overall User Experience
The overall user experience is characterized by its simplicity and interactivity. The platform is designed to streamline the analytics lifecycle, from data exploration to report creation and sharing. It provides a clean and intuitive interface that makes it easy for users to find, visualize, and narrate insights from their data. The integration of machine learning and natural language explanations further enhances the user experience by providing clear and actionable insights.
Summary
In summary, SAS Visual Analytics offers a user-friendly, interactive, and self-service interface that makes data analysis and visualization accessible to a broad range of users, while ensuring high levels of engagement and factual accuracy.
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 to help users make informed, data-driven decisions. Here are the main features and how they work, along with their benefits and the integration of AI:Data Access, Preparation, and Quality
SAS Visual Analytics allows users to access, profile, cleanse, and transform data using an intuitive interface. This self-service capability ensures that data is ready for analysis quickly, without the need for extensive technical expertise.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 facilitates real-time decision-making and enhances collaboration.Visual Data Exploration and Discovery
The tool offers various visualizations such as bar charts, histograms, box plots, heat maps, bubble plots, and geographic maps to explore data. It helps in quickly interpreting complex relationships and identifying key variables that influence modeling outcomes. Users can also detect outliers and influence points, which is crucial for accurate downstream analysis.Automated Forecasting and Scenario Analysis
SAS Visual Analytics includes automated forecasting capabilities that generate forecasts on the fly with forecasting confidence intervals. The system automatically selects the most appropriate forecasting model after running multiple models against the data. Scenario analysis allows users to see how changes in different variables would affect forecasts, enabling more accurate predictive analytics.Location Analytics
By combining traditional data with location data, users can analyze data in a geographical context. This feature brings the “where” dimension to the forefront, helping identify location-specific opportunities and make more informed decisions.Augmented Analytics
The software uses machine learning and natural language explanations to find, visualize, and narrate stories and insights within the data. It automatically highlights key relationships, outliers, clusters, and more, revealing vital insights that inspire action. This augmented analytics capability accelerates the discovery of hidden stories in the data.Self-Service Analytics
Features like automated forecasting, goal seeking, scenario analysis, and decision trees are available at the user’s fingertips, regardless of their skill level. This makes advanced analytics accessible to a broader range of users, including business analysts who may not have programming skills.Integration with Generative AI (GenAI)
SAS Visual Analytics allows the integration of text generated by Large Language Models (LLMs) into reports. Users can generate text using models like Gemini or ChatGPT and incorporate it into their reports. For example, this can be used to generate emails or other communications based on data-driven content. This integration enhances productivity by automating the generation of text-based content.Embedded Insights and Open Integration
Users can embed individual visual insights or entire interactive reports into custom web applications. This flexibility allows for data storytelling with live data or embedded data snapshots. Additionally, developers can add creative visualizations using third-party JavaScript libraries like D3 and C3, ensuring full interactivity within SAS Visual Analytics.Mobile Accessibility
Native mobile apps for iOS and Android enable users to view and interact with dynamic reports and dashboards on tablets and smartphones. This ensures secure access to content both online and offline, making insights accessible anywhere.Language Support
SAS Visual Analytics supports a wide range of languages, including Japanese, Korean, Simplified Chinese, and many others. This multilingual support makes the tool accessible to a global user base.Conclusion
In summary, SAS Visual Analytics leverages AI through augmented analytics, automated forecasting, and the integration of generative AI to provide a powerful platform for data exploration, visualization, and decision-making. These features make it easier for users to uncover insights, collaborate, and make data-driven decisions efficiently. SAS Visual Analytics - Performance and Accuracy
Performance
Performance is a critical aspect of SAS Visual Analytics, and there are several factors to consider:Report Optimization
The Report Review Pane is a valuable tool for improving report performance. It analyzes the report, categorizes findings, and provides recommendations to enhance performance and accessibility compliance. For example, moving the construction of aggregated data sources and data joins to a data preparation stage can significantly reduce runtime execution times.Infrastructure and Architecture
The performance of SAS Visual Analytics is heavily dependent on the underlying infrastructure and architecture. Properly architecting the application and its infrastructure layers is essential for optimal performance. This includes ensuring that all components of the system are highly responsive.Data Integration and Preparation
Pre-calculating items in the underlying data source before loading into LASR (SAS’s in-memory analytics engine) can speed up performance. Avoiding certain calculated items, such as Text (simple) and Text (advanced), in dashboards also helps.Limitations and Areas for Improvement
Despite its capabilities, SAS Visual Analytics has several areas that need improvement:Data Integration
Users have noted that the data integration capabilities could be more streamlined. The process of masking data, for instance, can be clunky and needs refinement.Customization and User-Friendliness
SAS Visual Analytics is often seen as less customizable compared to tools like Excel or Power BI. It can also be less user-friendly, particularly for those without extensive experience with SAS products.Graphics and Visualization
There is a need for better graphics and visualization options. Users have suggested more 2D graphics and improved custom graph capabilities.Support and Updates
The support for SAS Visual Analytics is not as strong as some of its competitors. Updates can take a long time, and there is a fee associated with upgrading, which can be a significant drawback.Performance Issues
While performance has improved, there are still issues that arise, particularly in distributed systems. Identifying and addressing these bottlenecks requires a step-by-step approach and careful monitoring.Accuracy
In terms of accuracy, SAS Visual Analytics generally performs well, but there are some considerations:Data Consistency
Ensuring data consistency across different reports and dashboards is crucial. Best practices recommend consistency in how data is displayed and linked to avoid confusion and ensure accuracy.Error Logs and Monitoring
Tools like Event Stream Processing (ESP) and other monitoring mechanisms help in identifying and addressing errors or performance issues in real-time, which can enhance the overall accuracy of the reports generated. In summary, while SAS Visual Analytics offers strong capabilities in data visualization and analytics, it has areas that require improvement, particularly in data integration, customization, user-friendliness, and support. By addressing these limitations and following best practices for performance optimization, users can enhance the overall performance and accuracy of their reports. SAS Visual Analytics - Pricing and Plans
Pricing
- The pricing for SAS Visual Analytics starts at $8,000 per month, according to the latest analysis.
Plans and Tiers
- There is no explicit mention of different tiers or plans in the sources. However, SAS does offer various deployment options and licensing models. For example, there are mentions of different versions such as SAS Visual Analytics VA4, VA8, VA16, and a private deployment option, but specific pricing details for these are not provided.
Features
- Regardless of the plan, SAS Visual Analytics includes a wide range of features such as:
- Ad Hoc Reporting and Analysis
- Predictive Analysis
- Mobile Apps
- Interactive Discovery
- Location Analytics
- Trend Indicators
- Visualizations
- Scheduled Reporting
- Customizable Dashboard
- Embedded BI
Free Trial
- SAS Visual Analytics offers a free trial option. You can request a 14-day free trial to experience the product’s capabilities firsthand.
Custom Quote
- There is an option to request a custom quote, which suggests that pricing can be adjusted based on specific needs and requirements.
Minimum Commitment
- Typically, a minimum commitment of 1-3 years is required for license-based solutions.
Given the lack of detailed tiered pricing information, it is recommended to contact SAS directly for a custom quote or to inquire about specific plans and their associated features.
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 devices. Here are some key points:
Operating Systems
The SAS Visual Analytics Server can be deployed on Linux and Windows operating systems. However, if the middle tier and the server tier are deployed on dissimilar operating systems (e.g., one on Linux and the other on Windows), certain features like audit and relationship data extraction and reporting are not supported.
Devices
The SAS Visual Analytics apps are supported on iOS and Android devices, as well as on PCs and tablets running Microsoft Windows 10. This allows users to access and interact with their data analytics on various devices.
Integration with Other Tools
SAS Visual Analytics integrates well with other tools and technologies:
SAS Viya
It is part of the SAS Viya ecosystem, which allows for integration with open-source tools like Python’s matplotlib and the D3 visualization framework. This enables developers to bring custom interactive visualizations into SAS Visual Analytics.
Hadoop and Big Data
SAS Visual Analytics supports co-located data storage with Apache Hadoop, facilitating the analysis of large datasets.
Geographic Information Systems (GIS)
The tool includes location analytics capabilities, allowing users to display data on maps, define custom regions, and perform geographic selections and routing analyses. This is enhanced by deep integration with Esri.
Custom Visualizations
Users can bring their own custom interactive visualizations, such as D3.js graphs or Google charts, into SAS Visual Analytics, ensuring all visualizations are driven by the same data.
Conclusion
Overall, SAS Visual Analytics offers a flexible and comprehensive platform for integrating and analyzing data from various sources, making it highly compatible and useful across different platforms and devices.
SAS Visual Analytics - Customer Support and Resources
Customer Support Options
When using SAS Visual Analytics, you have access to a variety of customer support options and additional resources to help you get started and resolve any issues efficiently.Technical Support
SAS offers several ways to contact their technical support team. You can report critical problems by phone using the US toll-free number ( 1-800-727-0025) or the US Headquarters number ( 1-919-677-8008). For less urgent issues, you can initiate a chat with the support team by clicking the blue chat button in the lower right corner of your browser. If chat is unavailable, you can open a case in the customer service portal. You can also send an email tosupport@sas.com with detailed information about the problem, including the products and versions you are using, the operating system, your SAS site number, problem details, and any troubleshooting steps you have taken.
Support Tiers
SAS provides different tiers of support, including Standard, Premium, and Elite Support. The Premium Support option includes enhanced benefits such as a Technical Support Account Manager, Premium Support Workshops, status reports and meetings, and access to a case dashboard, in addition to standard telephone and email support.Online Resources and Tutorials
SAS offers a wealth of online resources to help you learn and use SAS Visual Analytics effectively. You can find free tutorials on the official SAS website, which cover topics such as accessing and preparing data, creating interactive charts and reports, and building predictive models. The SAS Visual Analytics Learn & Support page provides comprehensive tutorials, guides, and other learning materials to get you started.Community Support
The SAS Visual Analytics community is a valuable resource where you can connect with other users, ask questions, and share knowledge. This community is available through the SAS Communities platform.Video Tutorials
SAS has an extensive YouTube channel dedicated to SAS Visual Analytics, offering video tutorials and playlists that guide you through various aspects of the software. These videos are a great way to learn visually and at your own pace.Additional Learning Subscriptions
For more structured learning, you can subscribe to the SAS Visual Analytics Learning Subscription, which provides a structured program to help you learn the software. These resources and support options are designed to ensure you can effectively use SAS Visual Analytics and resolve any issues that may arise. SAS Visual Analytics - Pros and Cons
Advantages of SAS Visual Analytics
SAS Visual Analytics offers several significant advantages that make it a powerful tool in the business intelligence and analytics category:
Interactive Data Visualizations
The platform allows users to create interactive reports and dashboards, enabling them to quickly summarize key performance metrics and share insights via the web and mobile devices.
Fast Data Processing
SAS Visual Analytics leverages high-performance, in-memory technologies, such as the SAS LASR Analytic Server, to process data quickly and efficiently. This allows users to identify relationships across large datasets rapidly.
Advanced Analytics
The tool integrates advanced analytics capabilities, including automated forecasting, scenario analysis, goal seeking, decision trees, and network diagrams. These features help users make smarter, data-driven decisions without requiring advanced programming skills.
Self-Service Environment
It provides a self-service environment where users of all skill levels can visually explore data, create visualizations, and perform analyses. This scalability makes it suitable for enterprise-wide use.
Geographical Analysis
The platform allows users to add geographical context to their analyses, combining traditional data with location data to identify location-specific opportunities.
Collaboration and Sharing
Users can easily collaborate on dashboards and share reports with internal teams, clients, and management. Features include adding comments to reports, creating alerts, and distributing PDF reports securely.
Integration with Other Tools
SAS Visual Analytics integrates seamlessly with Microsoft productivity tools like Excel and Outlook, allowing users to access and interact with reports directly within these applications.
Disadvantages of SAS Visual Analytics
Despite its many advantages, SAS Visual Analytics also has some notable limitations:
Implementation Challenges
According to Gartner, SAS Visual Analytics is one of the most difficult solutions to implement, which can be a significant barrier for new users.
Learning Curve
The platform has a steep learning curve, particularly for users without advanced analytics skills. While training options are available, the initial adoption can be difficult.
User-Friendly Issues
Some users find the user interface not very intuitive, with clunky elements and limited customization options for plotting graphs. Errors and warnings in logs can also be misleading.
Cost-Prohibitive
The licensing plans for SAS Visual Analytics are often cost-prohibitive, making it less appealing as a first choice for many organizations.
Limited Integration with Python and R
The integration with Python and R is still in the development stage, which limits the functional scope of the platform for users who rely on these languages.
Manual Work in Forecasting
While the platform offers automated forecasting, some aspects of forecasting still require manual work, which can be time-consuming.
Overall, SAS Visual Analytics is a versatile and powerful tool for data analysis and visualization, but it comes with some significant challenges, particularly in terms of implementation and user-friendliness.
SAS Visual Analytics - Comparison with Competitors
Comparison of SAS Visual Analytics with Other AI-Driven Sales and Analytics Tools
Data Integration and Management
SAS Visual Analytics is renowned for its strong data integration capabilities, allowing businesses to connect with various data sources, including databases, spreadsheets, and big data platforms like Hadoop. This enables real-time data analysis and holistic views of the business. In contrast, tools like Salesforce Sales Cloud and HubSpot Sales Hub also integrate with multiple data sources, but they are more focused on CRM data and sales-specific metrics. Salesforce, for example, integrates well with its own CRM system, providing a single view of the buyer and leveraging Einstein AI for predictive analytics and sales insights.Advanced Analytics and Machine Learning
SAS Visual Analytics stands out with its advanced analytics and machine learning capabilities. It offers a wide array of predictive analytics, machine learning models, and statistical analysis tools, making it a powerhouse for organizations needing deep, data-driven insights. This includes forecasting future trends, identifying opportunities, and mitigating risks. While Salesforce and HubSpot also offer predictive analytics, their focus is more on sales-specific predictions, such as lead scoring and deal forecasting. Tools like Clari and Gong.io provide revenue intelligence and deal insights but are more specialized in sales performance and revenue forecasting rather than broad predictive analytics.Data Visualization and Reporting
SAS Visual Analytics excels in data visualization, allowing users to create stunning interactive reports and dashboards. It supports self-service analytics, automated forecasting, and goal-seeking analyses, all accessible through a user-friendly interface. Showpad and Allego, on the other hand, focus more on content organization and buyer enablement. They use AI to organize sales content, provide generative AI search, and offer AI-assisted coaching, but they do not match the depth of data visualization and reporting offered by SAS Visual Analytics.User Interface and Accessibility
SAS Visual Analytics has a robust dashboard that caters to enterprise-level clients with complex analytics needs. However, its interface can be complex and may require some technical expertise to fully utilize. It also offers mobile apps for iOS and Android, allowing users to interact with reports and dashboards on mobile devices. In contrast, tools like Salesforce and HubSpot are generally more user-friendly and accessible to a broader range of users, including those without extensive technical backgrounds. They offer intuitive interfaces and a wide range of integrations that make them easier to adopt for smaller and larger businesses alike.Pricing
SAS Visual Analytics pricing is customized based on the size of the organization, the scope of the deployment, and specific feature requirements. This makes it a significant investment, typically suited for large enterprises with complex analytics needs. Salesforce, HubSpot, and other tools often have more transparent and scalable pricing models. For example, Salesforce offers packages starting at $25 per user per month for small businesses and up to $500 per user per month for enterprises. HubSpot Sales Hub pricing ranges from $15 to $150 per seat per month, depending on the features needed.Conclusion
SAS Visual Analytics is a powerful tool for businesses that require deep data analysis, advanced analytics, and machine learning capabilities. It is particularly suited for large enterprises with complex data environments. However, for businesses looking for more sales-specific AI tools with a focus on CRM integration, content organization, and user-friendly interfaces, alternatives like Salesforce, HubSpot, Clari, or Gong.io might be more appropriate. Each tool has its unique strengths, so the choice depends on the specific needs and scale of the organization. SAS Visual Analytics - Frequently Asked Questions
Frequently Asked Questions about SAS Visual Analytics
1. What is SAS Visual Analytics and what are its primary functions?
SAS Visual Analytics is a software application that enables users to discover and share insights from their data through reporting, data exploration, and analytics. It allows users to access, prepare, and visualize data, creating interactive reports and dashboards that can be shared via the web and mobile devices.2. How does SAS Visual Analytics facilitate data visualization and discovery?
SAS Visual Analytics uses advanced data visualization techniques, including interactive reports and dashboards, to help users identify key relationships, outliers, clusters, and trends in their data. It also employs machine learning and natural language explanations to find and narrate insights, making it easier to understand and explain the data.3. What predictive analytics capabilities does SAS Visual Analytics offer?
SAS Visual Analytics includes easy-to-use predictive analytics that allow users to assess possible outcomes and make smarter, data-driven decisions without requiring programming. Smart algorithms reduce the need for manual experimentation, and the software automatically selects the most appropriate forecasting model after running multiple models against the data.4. How does SAS Visual Analytics support location analytics?
SAS Visual Analytics combines traditional data sources with location data to analyze data in a geographical context. This allows users to identify location-specific opportunities and analyze data in new ways, bringing the “where” dimension to the forefront of their analyses.5. Can users create custom visualizations in SAS Visual Analytics?
Yes, users can bring their own custom interactive visualizations into SAS Visual Analytics. This includes using third-party JavaScript libraries such as D3.js and C3, allowing for full interactivity within the SAS environment.6. How does SAS Visual Analytics support mobile access?
SAS Visual Analytics offers native mobile apps for iOS, Android, and Windows 10/11, allowing users to view and interact with dynamic reports and dashboards on tablets and smartphones. This ensures secure access to content both online and offline.7. What is the methodology for using SAS Visual Analytics?
The methodology involves five phases: Access, Investigate, Prepare, Analyze, and Report. Users identify and load analysis tables, inspect and correct data quality issues, explore data to identify patterns and relationships, and finally develop interactive reports to share insights.8. How does SAS Visual Analytics integrate with other tools and platforms?
SAS Visual Analytics integrates seamlessly with Microsoft 365 tools, allowing users to access and interact with reports within Microsoft applications like Excel and Outlook. It also supports open integration for developers through REST APIs and third-party libraries.9. 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, and many others.10. Can users embed insights from SAS Visual Analytics into other applications?
Yes, users can embed individual visual insights, interactive stories, or entire interactive reports into custom web applications. This allows for flexible data storytelling with live data or embedded data snapshots. SAS Visual Analytics - Conclusion and Recommendation
Final Assessment of SAS Visual Analytics
SAS Visual Analytics is a comprehensive and powerful tool in the Sales Tools AI-driven product category, offering a wide range of features that cater to various needs and user roles.Key Benefits
Interactive Reporting and Visual Discovery
SAS Visual Analytics allows users to create stunning interactive reports and dashboards, enabling executives and front-line staff to quickly interact with and collaborate on insights. This feature is particularly useful for visualizing key performance metrics and sharing them via web and mobile devices.
Self-Service Analytics
The platform provides automated forecasting, goal seeking, scenario analysis, and decision trees, making advanced analytics accessible to users of all skill levels. This self-service capability simplifies the process of assessing possible outcomes and making data-driven decisions without requiring programming.
Location Analytics
By combining traditional data with location data, users can analyze data in a geographical context, which is crucial for identifying location-specific opportunities and making informed decisions.
Augmented Analytics
The software uses machine learning and natural language explanations to identify key relationships, outliers, clusters, and other vital insights. This feature helps users quickly find and visualize stories hidden in their data.
Integration and Accessibility
SAS Visual Analytics integrates seamlessly with Microsoft productivity tools, allowing users to access and interact with reports within Microsoft applications like Excel and Outlook. Additionally, the platform supports various languages and offers native mobile apps for iOS and Android, ensuring widespread accessibility.
Who Would Benefit Most
Executives and Strategic Decision-Makers
Executive dashboards provided by SAS Visual Analytics offer a bird’s-eye view of organizational performance, allowing top-level managers to track key performance indicators (KPIs) such as sales growth, customer acquisition cost, and gross margin ROI. This helps them make informed strategic decisions quickly.
Marketing Teams
Marketers can centralize customer information into visual profiles, optimize messaging, and simulate marketing campaigns using automated prediction tools. This enhances their ability to deliver impactful messages and understand customer preferences and behaviors.
Analysts and Data Scientists
The platform’s advanced analytics capabilities, including forecasting, text analytics, and network analysis, are highly beneficial for analysts and data scientists. These tools enable them to explore and visualize data in various ways, uncover hidden insights, and make smarter decisions.
Overall Recommendation
SAS Visual Analytics is highly recommended for organizations seeking a comprehensive and user-friendly analytics solution. Its ability to streamline data exploration, reporting, and analysis makes it an invaluable tool for a wide range of users, from executives to front-line staff and analysts.
The platform’s ease of use, combined with its advanced AI and machine learning capabilities, ensures that users can derive meaningful insights quickly and efficiently. The integration with other tools and its accessibility on various devices further enhance its value.
Overall, SAS Visual Analytics is a powerful tool that can significantly improve data-driven decision-making across different departments and roles within an organization.