Websites using Sas

Okay, let s break down SAS, covering its overview, revenue, alternatives, pricing, and customer care details.

SAS: An Overview

SAS (formerly Statistical Analysis System) is a leading software company renowned for its advanced analytics, business intelligence, and data management solutions. Founded in 1976, it has a long history of providing powerful tools to organizations to extract insights from complex data and make informed decisions.

Key Areas of SAS Expertise:

• Advanced Analytics: Machine learning, deep learning, forecasting, optimization, text analytics, and more.
• Data Management: Data integration, data quality, data governance, and data warehousing.
• Business Intelligence (BI): Reporting, dashboards, data visualization, and exploration.
• Customer Intelligence: Customer analytics, personalization, and marketing campaign management.
• Risk Management: Financial risk, operational risk, and fraud detection.
• Fraud and Security Intelligence: Detection, prevention, and compliance.
• IoT Analytics: Processing and analyzing data from connected devices.

Target Audience:

SAS primarily serves large enterprises, government agencies, and academic institutions across various industries, including:

• Financial Services
• Healthcare
• Retail
• Manufacturing
• Energy
• Government
• Education

Key Characteristics:

• Robust and Powerful: SAS is known for its comprehensive capabilities and ability to handle massive datasets.
• Scalability: Solutions can scale to meet the needs of growing organizations.
• Statistical Rigor: Strong focus on statistical methodologies and validation.
• Programming Language: Uses its own powerful 4GL programming language (SAS language) alongside visual interfaces.
• Cloud and On-Premise Options: Offers deployments across various environments.

Revenue:

• Private Company: SAS is privately held, so precise financial figures aren t publicly available. However, they are consistently recognized as a major player in the analytics market, with estimates putting their annual revenue in the billions.
• Subscription Model: Like many software companies, SAS is shifting towards a subscription-based revenue model rather than perpetual licensing.

Alternatives to SAS:

The analytics and data management landscape is competitive, with several alternatives to SAS. These alternatives may be more suitable for different types of organizations or use cases. Here are a few notable ones:

• R: Open-source programming language and environment for statistical computing and graphics. Great for flexibility and customization.
• Python: Another powerful, open-source programming language often used in data science, with many libraries like pandas, scikit-learn, and TensorFlow.
• Tableau: Widely used for interactive data visualization, dashboards, and BI.
• Qlik: Another strong BI platform known for its associative data engine.
• Microsoft Power BI: Microsoft s BI and visualization tool often used with Excel and Azure.
• IBM SPSS: A statistical analysis tool, similar to SAS but generally considered less powerful in certain areas.
• Alteryx: A platform for data blending and advanced analytics, with a code-free drag-and-drop approach.
• Databricks: A cloud-based platform for data engineering, data science, and machine learning using Apache Spark.
• Google Cloud Platform (GCP) with BigQuery: Offers a suite of cloud-based data analytics and machine learning services.
• Amazon Web Services (AWS) with Sagemaker and Redshift: Offers a similar set of cloud-based data analytics and machine learning services.

Pricing:

• Complex and Tiered: SAS s pricing is notoriously complex and not publicly available. It varies based on numerous factors such as:
  • Specific modules and products purchased
  • Deployment environment (on-premise, cloud, hybrid)
  • Number of users
  • Level of support required
  • Size of the organization
• High Cost: SAS solutions are generally considered to be on the higher end of the pricing spectrum, especially for large enterprises.
• Custom Quotes: Organizations need to contact SAS sales representatives to get customized quotes and pricing information.
• Subscription Model: SAS increasingly offers subscription-based licensing with predictable costs, which can be easier to manage than traditional perpetual licenses.

Customer Care Details:

SAS is known for providing a high level of customer support and training to its users. Here s a breakdown:

• Support Options:
  • Online Support Portal: Access to knowledge bases, documentation, support tickets, and more.
  • Phone and Email Support: Direct communication with support engineers.
  • Global Support Network: Local support resources in many countries.
• Training and Education:
  • SAS Training Programs: In-person and online courses covering all aspects of the software, from introductory to advanced topics.
  • SAS Certification: Industry-recognized certifications for SAS users.
  • User Communities: Forums and groups for users to connect, share knowledge, and ask questions.
• Professional Services:
  • Consulting Services: SAS experts help with implementation, custom solution development, and strategy planning.
  • Managed Services: SAS can manage and operate parts of the organization s IT infrastructure.
• Dedicated Account Managers: Larger clients often have dedicated account managers to provide personalized support.
• Strong Industry Reputation: SAS has a history of strong customer service, although there have been isolated complaints about cost-related frustrations or difficulties migrating to new versions.

Key Takeaways:

• SAS is a powerful and comprehensive analytics software suite, suitable for large organizations dealing with complex data.
• It offers robust statistical capabilities, data management solutions, and extensive training resources.
• Pricing can be complex, tiered, and generally on the higher side, requiring personalized quotes.
• Customer support is generally regarded as strong and comprehensive.
• Many alternatives exist, including open-source options, cloud-based platforms, and other BI tools, making it essential to consider alternatives before making a decision.

If you re considering SAS, it s best to thoroughly evaluate your needs, research alternatives, and request a customized quote to see if it aligns with your budget and requirements. You can access their website (sas.com) for further information.