SAS Visual Analytics - Detailed Review
E-Commerce Tools
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, analyze, and share insights from their data in a user-friendly and interactive manner.
Primary Function
The primary function of SAS Visual Analytics is to provide a single, self-service interface for reporting, data exploration, and analytics. It helps users discover and share powerful insights by visually exploring data, creating interactive reports, and performing advanced analytics without the need for extensive programming skills.
Target Audience
SAS Visual Analytics is designed 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 by providing an easy way to govern and manage data integrity and security.
Key Features
Data Visualization and Discovery
Users can visually explore data and create smart visualizations and interactive reports. The platform uses augmented analytics and advanced capabilities to accelerate insights and uncover hidden stories in the data.
Self-Service Analytics
Features include automated forecasting, goal seeking, scenario analysis, decision trees, and more. These tools are accessible even to users without advanced analytical skills.
Location Analytics
Combines traditional data sources with location data to analyze information in a geographical context, providing insights into location-specific opportunities.
Interactive Reporting and Dashboards
Allows users to create stunning interactive reports and dashboards that can be shared via the web and mobile devices. This enables executives and front-line staff to interact with and collaborate on insights dynamically.
Embedded Insights
Users can embed individual visual insights or entire interactive reports into custom web applications, enhancing data storytelling with live or snapshot data.
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
Supports integration with third-party JavaScript libraries like D3 and C3, and provides REST APIs for accessing SAS analytics, data, and services.
Multilingual Support
Available in multiple languages, including English, Spanish, French, German, and many others, making it accessible to a global user base.
By combining these features, SAS Visual Analytics empowers users to make smarter, data-driven decisions quickly and efficiently.
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 business analysts and decision makers to data scientists.Ease of Use
SAS Visual Analytics boasts an extremely easy-to-use exploration interface that does not require any coding. The platform offers a drag-and-drop analytics capability, allowing users to visually explore data without needing advanced technical skills. This self-service environment enables users to load their own data from sources like Excel spreadsheets and other files, making data analysis more accessible.Interactive and Intuitive Interface
The interface is interactive, allowing users to create and share visualizations, reports, and dashboards with ease. Features like autocharting help determine the best chart type for the selected data, and “what does it mean” pop-up boxes provide explanations of analytical techniques, helping users grasp the data insights quickly.Visual Discovery and Reporting
Users can create stunning interactive reports and dashboards that summarize key performance metrics. These reports can be shared via the web and mobile devices, ensuring that executives and front-line staff can interact with and collaborate on insights effortlessly. The platform supports dynamic visuals, including box plots, heat maps, bubble charts, and more, which help in visualizing data effectively.Smart Layout Guides and User Assistance
SAS Visual Analytics includes smart layout guides that respond to clicks rather than drags, ensuring that adjacent objects are aligned properly. The platform also features a product tour that guides new users through the application, explaining where features are located and how they can be used. Additionally, suggestive user assistance is embedded in the workflow, helping users build reports more efficiently.Mobile and Collaboration Features
The platform offers native mobile apps for Windows 10, iOS, and Android, allowing users to view and interact with dynamic reports and dashboards on their smartphones and tablets. Users can annotate reports, add comments, and share them via email. The integration with Microsoft Office applications enables seamless sharing and collaboration, with comments and insights staying with the reports for everyone to see.Geographical and Advanced Analytics
SAS Visual Analytics integrates location analytics, combining traditional data with geographical data to provide a more comprehensive view. Advanced analytics features, such as automated forecasting, goal seeking, scenario analysis, and decision trees, are also available, all without requiring programming skills.Governance and Security
The platform includes features for IT to manage data integrity and security effectively. It offers user authentication, information authorization, and audit reports, ensuring that data governance and IT policies are adhered to. This makes it easy for IT to protect and manage data while providing a secure environment for users. Overall, the user interface of SAS Visual Analytics is designed to be user-friendly, interactive, and highly functional, making it an ideal tool for various users within an organization to derive insights from their data efficiently. SAS Visual Analytics - Key Features and Functionality
SAS Visual Analytics Overview
SAS Visual Analytics is a comprehensive data visualization and business intelligence tool that offers a range of features, particularly beneficial in the context of e-commerce and other data-driven industries. Here are the main features and how they work:
Data Integration
SAS Visual Analytics allows users to connect with various data sources, including databases, spreadsheets, and big data platforms like Hadoop. This capability enables businesses to work with real-time data, integrating information from multiple sources such as point of sale, customer databases, and social media platforms. This real-time integration helps in generating a holistic view of the business, facilitating timely and informed decision-making.
Advanced Analytics and Machine Learning
The tool goes beyond basic analytics by providing advanced capabilities in predictive modeling, machine learning, and statistical analysis. These features help businesses forecast trends, predict customer behavior, and assess risks with greater precision. For instance, a financial institution can use SAS Visual Analytics to run predictive models that identify high-risk accounts, enabling proactive risk management.
Data Visualization and Dashboards
SAS Visual Analytics offers rich data visualization options, including bar charts, scatter plots, heat maps, and geographic maps. Users can create interactive dashboards that provide a comprehensive view of key performance indicators (KPIs). This feature is particularly useful for monitoring real-time performance, such as tracking delivery times and identifying bottlenecks in logistics operations.
Self-Service Business Intelligence (BI)
The self-service BI capabilities of SAS Visual Analytics empower 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. For example, a marketing team can analyze customer preferences and adjust campaigns on the fly using this feature.
Mobile Access
The tool allows users to access reports and dashboards from smartphones and tablets, ensuring that key decision-makers can stay connected and informed regardless of their location. This mobile access can expedite decisions and ensure that opportunities are not missed due to outdated information.
Natural Language Processing (NLP)
SAS Visual Analytics 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 data querying more intuitive.
Location Analytics
The tool combines traditional data sources with location data, enabling analysis in a geographical context. This feature helps in identifying location-specific opportunities and analyzing data in new ways. For instance, a retail company can analyze regional store performance and make data-driven decisions about retail business functions.
Augmented Analytics
SAS Visual Analytics uses machine learning and natural language explanations to find, visualize, and narrate stories and insights that are easy to understand. The software automatically highlights key relationships, outliers, clusters, and more, revealing vital insights that inspire action. This feature helps users quickly spot important relationships in their data and uncover opportunities hidden deep within it.
Embedded Insights
Users can embed individual visual insights from SAS Visual Analytics reports into custom web applications or build interactive stories. This feature allows for the publication of insights that scale with the flexibility of live data or embedded data snapshots, enhancing data storytelling.
Integration with Other Tools
SAS Visual Analytics integrates seamlessly with Microsoft productivity tools from Microsoft 365, allowing users to access and interact with reports from within applications like Excel and Outlook. This integration enhances collaboration and makes analytics more accessible across different platforms.
AI Integration
SAS Visual Analytics can be integrated with Generative AI (GenAI) models, such as those from Google’s Gemini or OpenAI’s ChatGPT. This integration allows users to generate text or other content within their reports using large language models. For example, a user can generate an email requesting a discount based on selected variables, demonstrating how AI can increase productivity within the reporting process.
These features collectively make SAS Visual Analytics a powerful tool for data-driven decision-making, especially in e-commerce and other industries that rely heavily on data analysis and real-time insights.
SAS Visual Analytics - Performance and Accuracy
Performance
SAS Visual Analytics is built on the SAS Viya engine, which provides several performance enhancements, including high availability, faster in-memory processing, and native cloud support. Here are some performance-related aspects:Report Optimization
The Report Review Pane in SAS Visual Analytics is a valuable tool for improving report performance. It analyzes the report, categorizes findings, and provides recommendations to enhance performance and accessibility compliance. By following these recommendations, users can significantly reduce report loading times, as demonstrated in the SAS demo where report loading times were reduced from 25 seconds to around 8 seconds by optimizing data sources and data joins.Data Preparation
Performance can be improved by moving calculations and data joins to the data preparation stage rather than performing them at runtime. This approach reduces the load on the system when users open the report.Browser Choice
The choice of browser can impact both application loading and report viewing performance. Using recommended browsers can minimize the time before the first results are displayed.Static Report Links
For dashboard-style reports, creating report links that show a static report while loading can significantly reduce the time to display initial results.Accuracy
SAS Visual Analytics is designed to provide accurate insights through various analytical tools:Automated Forecasting
The solution includes automated forecasting that chooses the most appropriate forecasting method based on the data, ensuring reliable forecasts even for novice users.Data Integrity
By using SAS Visual Analytics, users can identify outliers and recognize highly correlated parameters in data, which helps in determining the relevance and significance of findings.Consistent Visualizations
Best practices recommend consistency in visualizations to ensure users can easily interpret the data. This includes using the same types of charts for similar data across different dashboards.Limitations and Areas for Improvement
Despite its strengths, SAS Visual Analytics has several areas that need improvement:Customization and Integration
Users have noted that SAS Visual Analytics is less customizable compared to tools like Excel and Power BI, particularly when working with spreadsheet types. There is also room for improvement in data integration capabilities and more integration with different computer languages.Graphics and Visualization
The solution could benefit from more 2D graphics options, as it currently relies heavily on 3D graphics. Additionally, the visualization capabilities, while strong, need further enhancement, especially in terms of custom graphs and support for creating new objects.User-Friendliness and Support
Some users find SAS Visual Analytics less user-friendly compared to competitors like Tableau and QlikView. The support system is also seen as lacking, with updates and upgrades being time-consuming and sometimes requiring additional fees.Installation and Maintenance
The installation process can be complex, and the solution is not as mature as some of its competitors. This can lead to ongoing performance issues, although these have been improving over time. In summary, while SAS Visual Analytics offers strong performance and accuracy through its advanced analytical tools and optimization features, it has areas that require improvement, particularly in customization, integration, and user-friendliness. Addressing these limitations could enhance the overall user experience and performance of the tool. SAS Visual Analytics - Pricing and Plans
Pricing Structure of SAS Visual Analytics
Pricing Model
- The pricing for SAS Visual Analytics starts at $8,000 per month, according to the latest analysis.
Plans and Commitments
- Typically, a minimum commitment of 1-3 years is required for license-based solutions. This indicates that SAS Visual Analytics is usually sold under a long-term contract rather than a month-to-month basis.
Custom Quotes
- There is an option to request a custom quote, which can be useful for organizations with specific needs or larger-scale deployments.
Free Trial
- SAS Visual Analytics offers a free 14-day trial, allowing potential users to test the software before committing to a purchase. This trial provides access to the advanced capabilities of the platform.
Features Across Plans
While the specific website provided does not detail different tiers or plans, here are some of the key features that are generally available in SAS Visual Analytics:
- Visual Data Exploration & Discovery: Users can quickly interpret complex relationships, filter observations, detect outliers, and explore data using various visualizations such as bar charts, histograms, and geographic maps.
- Interactive Reporting and Dashboards: Create and share interactive reports and dashboards that can be accessed via the web and mobile devices.
- Self-Service Analytics: Features include automated forecasting, goal seeking, scenario analysis, and decision trees, all accessible regardless of the user’s skill level.
- Location Analytics: Combine traditional data with location data for geographical analysis.
- Augmented Analytics: The software provides suggestions and identifies related measures to help discover insights quickly.
- Embedded Insights: Embed visual insights into custom web applications or Microsoft productivity tools like Excel and Outlook.
Given the information available, it appears that SAS Visual Analytics is offered as a comprehensive solution rather than in multiple tiers with varying features. However, the exact breakdown of features per plan is not specified in the sources provided. For detailed pricing and feature specifics, contacting SAS directly or requesting a custom quote would be the best approach.
SAS Visual Analytics - Integration and Compatibility
SAS Visual Analytics Overview
SAS Visual Analytics is a versatile and integrated platform that offers seamless integration with a variety of tools and platforms, ensuring broad compatibility and usability.Integration with Other Tools
SAS Visual Analytics integrates well with several key systems and tools:Microsoft 365
It has seamless integration with Microsoft 365, allowing users to embed analytical insights from SAS into Microsoft applications such as Excel, Outlook, and PowerPoint. This enables easy access to analytics and the ability to share insights through familiar Microsoft tools.SAS Viya
The platform leverages the SAS Viya engine, which modernizes the SAS platform with features like high availability, faster in-memory processing, and native cloud support. This integration enhances the performance and scalability of SAS Visual Analytics.Vertica Database
SAS Visual Analytics can connect to Vertica databases using either ODBC or direct Vertica connections. Users can register Vertica tables in the SAS Management Console and use these tables to create reports and dashboards within SAS Visual Analytics.Third-Party Libraries
Developers can add creative visualizations using third-party JavaScript libraries such as D3 and C3, ensuring full interactivity within SAS Visual Analytics. Additionally, REST APIs allow access to SAS analytics, data, and services from any client language.Compatibility Across Different Platforms and Devices
SAS Visual Analytics is highly compatible across various platforms and devices:Desktop and Server Environments
It can be deployed on a single server or in a distributed mode using a massive compute cluster, supporting both on-site and cloud environments, including Amazon Web Services and Microsoft Azure.Mobile Devices
The platform offers native mobile apps for iOS, Android, and Windows 10, allowing users to view and interact with dynamic reports and dashboards on tablets and smartphones. Users can annotate, add comments, and email reports directly from these mobile apps.Language Support
SAS Visual Analytics supports a wide range of languages, including Japanese, Korean, Simplified Chinese, Traditional Chinese, and many European languages, ensuring global usability.Cross-Version Compatibility
It’s important to note that SAS Visual Analytics reports are not backward compatible. This means that reports created in a later version of SAS Visual Analytics cannot be moved back to an earlier version.Conclusion
In summary, SAS Visual Analytics offers extensive integration capabilities with various tools and platforms, ensuring it can be used effectively across different environments and devices, while also supporting a broad range of languages and deployment options. SAS Visual Analytics - Customer Support and Resources
SAS Visual Analytics Support Overview
SAS Visual Analytics offers a comprehensive range of customer support options and additional resources to ensure users can maximize the value from their data analytics.Support Services
SAS provides various support models to cater to different customer needs. Here are some key aspects of their support services:Technical Account Manager
This service includes advisory services on the assessment, implementation, and operation of SAS. The manager coordinates resources, holds regular meetings to understand key projects, and acts as an escalation point for upgrade and maintenance queries.
Onsite and Remote Support
SAS offers onsite support for installations, release migrations, and infrastructure modernization, as well as remote assistance for issues that can be resolved offsite. Critical Period Support provides dedicated consultants outside office hours for system upgrades and infrastructure modernization.
Priority Handling and Workshops
The Premium Support Workshop teaches effective problem investigation techniques and how to make the best use of priority handling services. This helps users understand their key projects and infrastructure better.
Support Response Times
SAS has a tiered support system with response times ranging from 30 minutes for critical issues (Level 1) to within one business week for minor issues (Level 4) and trivial issues (Level 5).
Additional Resources
Documentation and Guides
Users can access detailed user guides, such as the Visual Analytics User’s Guide, which provides step-by-step instructions on logging in, navigating reports, using filters, and more.
Interactive Demos
SAS offers interactive demos that showcase how to quickly explore and understand data to resolve various industry and business issues. These demos cover sectors like public health, utilities, retail, manufacturing, and banking.
Community and Forums
SAS has active communities and forums where users can engage with other users, share insights, and get help from peers and experts. This includes the SAS Communities and SAS Analytics Explorers.
Language Support
The platform supports a wide range of languages, making it accessible to a global user base. This includes languages such as Japanese, Korean, Chinese, Spanish, French, and many others.
Integration and Development Resources
For developers, SAS Visual Analytics provides open integration options, including the use of third-party JavaScript libraries like D3 and C3, and REST APIs for accessing SAS analytics, data, and services.
By leveraging these support options and resources, users of SAS Visual Analytics can ensure they get the most out of the platform and overcome any challenges they might encounter.
SAS Visual Analytics - Pros and Cons
Advantages of SAS Visual Analytics
User-Friendly Analytics
SAS Visual Analytics offers easy-to-use predictive analytics that enable even business analysts, without programming skills, to assess possible outcomes and make smarter, data-driven decisions.
Advanced Data Visualization
The tool provides a wide range of visualization options, including interactive reports, dashboards, and advanced analytics such as heat maps, bubble charts, and network diagrams. This helps users quickly spot important relationships in their data and create stunning, interactive visualizations.
Self-Service Analytics
It allows business analysts to generate and use analytical models on their own, without needing to learn new skills or engage IT. Features include automated forecasting, scenario analysis, goal seeking, and decision trees.
Location Analytics
SAS Visual Analytics combines traditional data with location data, enabling geographical context in analyses. This helps in identifying location-specific opportunities and analyzing data in new ways.
Integration and Scalability
The tool integrates seamlessly with other SAS products and Microsoft productivity tools like Excel and Outlook. It also offers scalability and governance, handling more users, more data, and various BI and analytical workloads in a consistent and governed manner.
Mobile Accessibility
Users can view and interact with dynamic reports and dashboards on mobile devices through native apps for iOS and Android.
Augmented Analytics
SAS Visual Analytics uses machine learning and natural language explanations to find, visualize, and narrate insights, making it easier to identify key relationships, outliers, and clusters in the data.
Disadvantages of SAS Visual Analytics
Scalability Challenges
Despite its scalability features, SAS Visual Analytics can face challenges with scalability, particularly in very large or distributed environments.
Complex Installations
The installation process can be complex, which may require significant IT support and resources.
High Licensing Costs
The tool is known for its high licensing costs, which can be a significant barrier for some organizations.
Coding Requirements
Although it is marketed as requiring no programming, some advanced features may still intimidate users who are not familiar with coding, particularly the SAS programming language.
Support Services
Users have noted that the support services for SAS Visual Analytics need enhancement, which can be a drawback for those requiring timely and effective support.
Learning Curve
The software has a steep learning curve due to its complexity, which may require more training for users to become proficient.
In summary, SAS Visual Analytics offers a powerful set of features for data visualization, self-service analytics, and advanced analytics, but it also comes with challenges related to scalability, installation complexity, and high costs.
SAS Visual Analytics - Comparison with Competitors
Unique Features of SAS Visual Analytics
- Comprehensive Data Analysis: SAS Visual Analytics offers a broad range of analytical capabilities, including data visualization, self-service analytics, and augmented analytics. It uses machine learning and natural language explanations to identify key relationships, outliers, and clusters in data, making it easier to uncover hidden insights.
- Location Analytics: This tool integrates traditional data with location data, providing geographical context to analyses. This feature is particularly useful for businesses that need to analyze data in a spatial context.
- Integration with Microsoft 365: SAS Visual Analytics allows seamless access to analytics from within Microsoft 365 applications, enabling users to drill down into data and embed insights into Excel, Outlook, and other Microsoft tools.
- Mobile Accessibility: The platform offers native mobile apps for iOS and Android, allowing users to interact with dynamic reports and dashboards on mobile devices.
Alternatives and Comparisons
Nosto
Nosto is an AI-driven platform that focuses on personalization for e-commerce websites. It uses big data, artificial intelligence, and dynamic targeting to deliver highly targeted product recommendations and personalized content. While Nosto is strong in personalization, it lacks the broad analytical capabilities and location analytics offered by SAS Visual Analytics.
Adobe Sensei
Adobe Sensei integrates with Adobe Commerce to provide AI-driven features such as personalized product recommendations, predictive search, and automated catalog management. Like Nosto, Adobe Sensei is more specialized in personalization and content optimization, but it does not offer the same level of comprehensive data analysis as SAS Visual Analytics.
Lyro AI Chatbot
Lyro AI Chatbot, part of Tidio, is focused on automated customer support and engagement. It provides 24/7 customer support and can handle various customer queries. However, Lyro is more limited in its analytical capabilities compared to SAS Visual Analytics, which is geared more towards data exploration and business intelligence.
OptiMonk AI
OptiMonk AI enhances website engagement and conversion rates through personalization. It segments visitors based on their actions and presents relevant offers and content. While OptiMonk is effective in improving conversion rates, it does not offer the extensive data analysis and visualization features that SAS Visual Analytics provides.
Business Intelligence Alternatives
For those looking for alternatives specifically in the business intelligence and analytics space, several options are available:
Yellowfin BI
Yellowfin BI offers guided exploration, interactive dashboards, and self-service analytics similar to SAS Visual Analytics. It is known for its ease of use and comprehensive reporting capabilities.
Oracle Analytics Cloud
Oracle Analytics Cloud provides a cloud-based platform for data analysis and visualization. It includes features like machine learning and natural language processing, similar to SAS Visual Analytics, but is more integrated with Oracle’s ecosystem.
Style Intelligence
Style Intelligence offers advanced data visualization and reporting capabilities. It is known for its flexibility and customization options, which might appeal to users looking for a more tailored approach to their analytics needs.
In summary, while tools like Nosto, Adobe Sensei, Lyro AI Chatbot, and OptiMonk AI excel in specific areas such as personalization and customer support, SAS Visual Analytics stands out for its comprehensive data analysis, location analytics, and integration capabilities. For those seeking alternatives in the business intelligence space, options like Yellowfin BI, Oracle Analytics Cloud, and Style Intelligence are worth considering.
SAS Visual Analytics - Frequently Asked Questions
How Do I Get Data into SAS Visual Analytics?
You can get data into SAS Visual Analytics through several methods. The Data Builder application allows you to load data from databases directly into SAS, and you can schedule extracts for upload. You can also use the user interface to load data, or the Autoloader for automated data loading. Additionally, data in spreadsheets or CSV format can be easily imported.
What Are the Key Features of SAS Visual Analytics?
SAS Visual Analytics offers a range of key features, including a visual environment for self-service analytics, a single interface for data access, exploration, preparation, and analysis, and the ability to connect to various data sources such as Snowflake, S3, and Synapse. It also allows you to create interactive reports and dashboards, perform location analysis, and conduct scenario, text, network, and path analyses. The tool integrates with open source tools and languages like Python and R, and supports user authentication and access controls.
Can SAS Visual Analytics Handle Large Amounts of Data?
Yes, SAS Visual Analytics is capable of handling large amounts of data. It can run on a single server or in a distributed environment, supporting up to 350 GB of data on a 32-Core machine. The LASR Analytic Server, part of SAS Visual Analytics, uses in-memory technologies to process large datasets efficiently.
How Does SAS Visual Analytics Support Data Visualization and Reporting?
SAS Visual Analytics provides a drag-and-drop designer environment for creating dynamic, interactive reports and dashboards. You can visually explore data, create and share smart visualizations, and embed insights into Microsoft applications like Excel and Outlook. The tool also supports data acquisition wizards for previewing, filtering, or sampling data before creating reports.
Does SAS Visual Analytics Require Advanced Analytical Skills?
No, SAS Visual Analytics is designed to be user-friendly and does not require advanced analytical skills. It offers automated forecasting, goal seeking, scenario analysis, and decision trees, making it accessible to business analysts and other users who may not have deep technical expertise. The tool uses machine learning and natural language explanations to help users find and visualize insights easily.
How Can I Use SAS Visual Analytics for Location Analysis?
SAS Visual Analytics allows you to add geographical context to your analyses by combining traditional data with location data. This feature enables you to analyze data in a geographical context, identifying location-specific opportunities and patterns. You can create geographical visualizations and perform location analysis to get a more comprehensive view of your data.
Can SAS Visual Analytics Be Used on Mobile Devices?
Yes, SAS Visual Analytics has native mobile apps for iOS and Android, allowing you to view and interact with dynamic reports and dashboards on tablets and smartphones. This mobility feature ensures that you can access and share insights anywhere, anytime.
How Does SAS Visual Analytics Integrate with Other Tools and Languages?
SAS Visual Analytics integrates well with other tools and languages. It supports integration with open source tools and languages like Python and R, and allows developers to use third-party JavaScript libraries such as D3 and C3 for creative visualizations. Additionally, it provides REST APIs for accessing SAS analytics, data, and services from any client language.
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.
Can SAS Visual Analytics Be Used for Predictive Analytics?
Yes, SAS Visual Analytics includes easy-to-use predictive analytics capabilities. It enables users to assess possible outcomes and make smarter, data-driven decisions without requiring programming. The tool uses smart algorithms to reduce the need for manual experimentation and supports collaborative work with experts to focus on the most relevant insights.
SAS Visual Analytics - Conclusion and Recommendation
Final Assessment of SAS Visual Analytics
SAS Visual Analytics is a comprehensive and powerful tool that stands out in the E-Commerce Tools AI-driven product category, particularly for its ability to integrate, analyze, and visualize data from various sources.
Key Benefits
- Data Integration: SAS Visual Analytics can connect with multiple data sources, including databases, spreadsheets, and big data platforms like Hadoop, allowing businesses to work with real-time data and gain immediate insights.
- Advanced Analytics: The tool offers advanced analytics capabilities such as predictive modeling, machine learning, and statistical analysis. This helps businesses forecast trends, predict customer behavior, and assess risks with greater precision.
- Data Visualization: It provides rich data visualization options, including bar charts, scatter plots, heat maps, and geographic maps. Users can create interactive dashboards that offer a comprehensive view of key performance indicators (KPIs).
- Self-Service Analytics: The platform is user-friendly, allowing business analysts and even non-technical users to create and share reports, perform automated forecasting, scenario analysis, and other advanced analytics without needing advanced data scientist skills.
- Location Analytics: It combines traditional data with location data, providing geographical context to analyses and visualizations, which is particularly useful for understanding regional performance and location-specific opportunities.
Who Would Benefit Most
SAS Visual Analytics is beneficial for a wide range of users within an organization, including:
- Decision Makers: They can quickly access and interact with dynamic reports and dashboards to make informed decisions.
- Business Analysts: They can perform advanced analytics and create visualizations without needing extensive technical expertise.
- Report Creators: They can easily create, share, and collaborate on insights from data.
- IT Staff: They can manage and govern data integrity and security efficiently within the SAS Viya environment.
Overall Recommendation
SAS Visual Analytics is highly recommended for organizations seeking to enhance their data-driven decision-making processes. Here are a few key reasons:
- Scalability and Governance: It scales to an enterprise-wide level, ensuring data and analytics are accessible to more people while maintaining governance and consistency.
- Ease of Use: The intuitive interface and self-service capabilities make it accessible to users of all skill levels, reducing the dependency on IT for routine analyses.
- Comprehensive Insights: The combination of interactive data exploration, dashboards, reporting, and advanced analytics helps users uncover valuable insights quickly and effectively.
In summary, SAS Visual Analytics is an excellent choice for any organization looking to leverage data for better decision-making, especially those in industries such as retail, banking, public health, and manufacturing, where data-driven insights are crucial for operational efficiency and strategic planning.