Resource Center
Content posted in February 2017
Data Evolution: Why a Comprehensive Data Management Platform Supersedes the Data Integration Toolbox
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2/1/2017  
This white paper describes the evolution of data integration tools and the benefits that can be achieved with a comprehensive data management platform.
Data Management: The Foundation for Successful Reporting and Analytics in Education
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2/1/2017  
Learn what effective data management entails, why you need to prioritize investment in data management solutions, and how several education institutions are seeing the value they provide.
Discovering the Business Value of Streaming Analytics
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2/1/2017  
This resource explains streaming analytics and describes how it can enable real-time decision-making based on current evidence. Learn how you can resolve business problems more quickly and make data-driven decisions.
Forbes Insights: Data Elevates the Customer Experience
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2/1/2017  
Forbes Insights, in partnership with SAS, conducted a global survey of 357 senior executives across a range of industries and functions. Forbes Insights also conducted one-on-one interviews with several executives to further illuminate the findings.
Harvard Business Review: Leadership and Big Data Innovation
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2/1/2017  
Find out why data experimentation, governance and culture are part of the next leadership challenge for organizations in this key learning summary paper.
Improve Customer Experience with Actionable Artificial Intelligence
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2/1/2017  
While more marketers turn to artificial intelligence technologies, this new territory also raises more questions. This paper offers a detailed look into how AI works, and explores the opportunities and challenges it presents.
TDWI Best Practices Report: Improving Data Preparation for Business Analytics
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2/1/2017  
This TDWI Best Practices Report discusses how lots of organizations are mired in unsatisfactory data prep processes and are seeking new technologies and practices for improving them.
Keep them coming back: Your guide to building customer loyalty with analytics
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2/1/2017  
In this e-book, we provide the latest research on customer loyalty, along with a three-pronged approach for securing it. You’ll learn how to get better insights about your customers and win them over with laser-focused personalized marketing.
Maximizing Moments of Truth: Creating Meaningful Real-Time Customer Interactions
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2/1/2017  
This paper explores what customer “moments of truth” mean, and how understanding those moments of truth along the customer journey enables marketers to deliver the personalized, real-time responses that customers crave.
Modernizing Your Analytics Environment
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2/1/2017  
In this whitepaper, learn the dramatic benefits of analytics modernization and hear case studies about the significant results companies have experienced by transforming their analytics platform, including simplified analytic modeling and faster customer insights.
Data Management Backgrounder: What it is and Why it Matters
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2/1/2017  
This article helps describe the differences between data management and master data management. More specifically, it provides short definitions and explains the importance of data quality, data integration, data federation, data governance and master data management.
O’Reilly: The Evolution of Analytics: Opportunities and Challenges for Machine Learning in Business
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2/1/2017  
Read this report to learn more about modern applications for machine learning, including recommendation systems, streaming analytics, deep learning and cognitive computing.
Redefine Your Analytics Journey With Self-Service Data Discovery and Interactive Predictive Analytics
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2/1/2017  
SAS Visual Analytics and SAS Visual Statistics share the same web-based interface to provide self-service data exploration and easy-to-use interactive predictive analytics in a collaborative environment. This white paper takes a look at this convergence and outlines how these products can be used together so that everyone, even nontechnical users, can investigate data on their own, create analytical models and uncover new insights that drive competitive differentiation.
SAS® Analytics for IoT: Connected Vehicles
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2/1/2017  
This product brief explains at a high level what SAS Analytics for IoT is (capabilities and components), how it works, how it differs from other solutions, and how it can fit into an organization’s infrastructure.
SAS Viya: An innovative, cloud-ready architecture designed for any analytical challenge
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2/1/2017  
This solution overview takes a high-level look at the capabilities and benefits of the new SAS Viya architecture, including its open development platform, distributed and scalable processing, and a centrally managed environment for all analytical assets.
Marketing Analytics Meets Artificial Intelligence: Six Strategies for Success
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2/1/2017  
This TDWI Checklist Report explores how AI (artificial intelligence) can be used to enhance marketing analytics and help companies both better understand their customers and deliver a great customer experience.
The 5 Essential Components of a Data Strategy
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2/1/2017  
This paper explores five components needed to build a data strategy that can deliver tangible results for the business – today and tomorrow – as your business needs grow and evolve.
The Internet of Things: Marketing’s Opportunities and Challenges
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2/1/2017  
IoT brings significant opportunities for marketers by providing unprecedented insights into consumers’ behavior. The insights could be used to create new revenue opportunities for a business and increase customers’ satisfaction by providing relevant interactions.
Understanding Data Streams in IoT
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2/1/2017  
The Internet of Things creates and maintains data from sensors and devices around the world. The challenge for many organizations? Making sense of this data. With SAS Event Stream Processing, you get the ability to make sense automated decisions on streaming data – and react to new information automatically.
Your data scientist hiring guide: Ask the right interview questions and compare your candidates to our data scientists
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2/1/2017  
If you’re dealing with large amounts of data and complex problems, you might be ready to hire a data scientist. But what will you ask in the interview, and how will you evaluate the candidates? In this e-book, we provide 20 interview questions, so you can walk right into the interview knowing what to ask.
5 Data Management for Analytics Best Practices
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2/1/2017  
SAS adheres to five data management best practices that give you access to all types of raw data and let you cleanse, transform and shape it for any analytic purpose. Check out this interactive whitepaper to learn more.
Customer Analytics: Taking the First Step
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2/1/2017  
Read this interactive whitepaper to learn more about how to identify the best technology to improve marketing performance.




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