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Streamlining Contracting and Licensing with SAS Analytics

Simplified Customer Contracts

SAS Analytics offers simplified customer contracts for flexibility and ease of use. These contracts allow customers to install and use the software anywhere globally, whether on physical or virtual hardware, public or private clouds. Additionally, customers can take advantage of non-production test, development, or failover installations at no extra charge for most software licenses.

Global Licensing Benefits

Customers using SAS Analytics can benefit from using the software for related entities worldwide by merely upgrading the license quantity to suit their needs. New purchases automatically come with the new contracts, ensuring simplicity and transparency. Existing long-term customers with older licenses can also migrate to the new contracts, offering them the same advantages. Customers can consult their SAS sales representative for more information on this transition.

Easier Purchasing Process

Under the new SAS Analytics contracts, the purchasing process has been simplified for customers. A straightforward Order Form lists the products, fees, and business terms, facilitating efficient procurement. Customers can quickly accept the Order Form via DocuSign, streamlining the procurement process. Additionally, the online Universal Terms and Addenda apply to all offerings, providing clarity and consistency in contractual terms.


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Revolutionizing Decision-Making with SAS Analytics

SAS Viya Portfolio Overview

SAS Analytics offers a comprehensive portfolio of solutions under SAS Viya, empowering organizations to make smarter, data-driven decisions across industries. With SAS Viya on Azure Marketplace, accessing trusted analytics and AI has never been easier. The platform enables open source integration, allowing users to leverage a wide range of analytic methodologies, frameworks, tools, and technologies. By moving to SAS Viya, organizations can embrace a cloud-native approach, leading to scalability, cost-effectiveness, increased productivity, and faster innovation.

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Unleashing the Power of SAS Analytics: A Comprehensive Guide to Support and Documentation

Introduction to SAS Analytics

SAS Analytics is a powerful software solution that allows businesses to uncover actionable insights from their data. With its advanced analytics capabilities, SAS Analytics empowers organizations to make informed decisions, drive innovation, and gain a competitive edge in today's data-driven world. By leveraging the comprehensive suite of tools and features offered by SAS Analytics, businesses can analyze large datasets, create predictive models, optimize processes, and visualize results to drive business growth and success.

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Transform Your Workforce with SAS Analytics Training Programs

Addressing the Skills Gap

In today's rapidly evolving business landscape, having a skilled workforce is crucial to maintaining a competitive edge. SAS Analytics offers comprehensive training programs designed to bridge the analytics skills gap within organizations. These programs facilitate the assessment of skill levels, identification of gaps, selection of relevant training resources, and the development of tailored strategies to elevate your team's capabilities.

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Empowering Your Business with SAS Analytics Support Services

SAS Services Tailored to Your Needs

SAS Analytics offers a comprehensive range of support options through their SAS Services team, tailored to meet the unique needs of your business. Whether you are facing challenges that require resolution or looking to enhance your skills to achieve your business goals, SAS Services is there to assist you every step of the way.

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Unlocking the Power of IoT with SAS Analytics Solutions

Harnessing IoT Data for Business Value

SAS Analytics offers a robust, scalable, and open edge-to-enterprise platform that bridges IT and operational environments, covering the entire analytics life cycle. From visualization to statistical modeling and from descriptive to predictive and prescriptive analytics, SAS specializes in IoT analytics, incorporating AI, machine learning, and deep learning to help organizations minimize risks and extract tangible business value. The integration of IoT data from diverse sources, whether at the edge, in the cloud, or anywhere in between, facilitates the transition towards AIoT, the artificial intelligence of things.

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