Analytics

• 5 Steps to Accelerate Value From Your Industrial IoT Data
• Accelerate Open Source Forecasting With SAS® By running open source forecast models with SAS, organizations can build upon their existing open source strategies in an agile, efficient and highly scalable way.
• Accelerating the Path to Value with Business Intelligence and Analytics TDWI Best Practices Report
• Advanced Analytics: Moving Toward AI, Machine Learning, and Natural Language Processing TDWI Best Practices Report
• Analytics Accelerates Monetization Opportunities for Connected Vehicle and Mobility Services
• Analytics as a Source of Business Innovation The increased ability to innovate is producing a surge of benefits across industries
• Approachable Analytics With SAS® Web Solutions Using SAS for rapid prototyping of solutions
• Artificial Intelligence for Executives Integrating AI Into Your Organization
• Artificial Intelligence in Banking and Risk Management Keeping Pace and Reaping Benefits in a New Age of Analytics
• Assessing Your Business Analytics Maturity: Eight Metrics That Matter
• Better Forecasting With Next-Generation Demand Management People, Process, Analytics and Technology
• Beyond the Hype: The Hard Work Behind Analytics Success Why competitive advantage from analytics is declining and what to do about it
• BI, Analytics, and the Cloud: Strategies for Business Agility
• Big Data, Analytics and Hadoop How the marriage of SAS® and Hadoop delivers better answers to business questions – faster
• Building a Foundation for HR Analytics 5 Best Practices
• Building your data and analytics strategy The tools every data professional needs to build a world-class analytics organization
• Channeling Streaming Data for Competitive Advantage How SAS® Event Stream Processing Is Driving Innovation and Solving Complex Challenges
• Choosing New Slots? Here’s a Game-Changer.
• Closing the OODA Loop: Using Big Data and Analytics to Improve Decision Making Insights from a Military Operations Research Society (MORS) Industry Showcase
• Cognitive Computing: Analytics and Beyond
• Combining Robotic Process Automation and Machine Learning
• Data scientists use SAS Viya on Microsoft Azure to develop big innovations
• Data Visualization Techniques From Basics to Big Data With SAS Visual Analytics
• Data, Analytics & AI: How Trust Delivers Value Findings From the Annual Data & Analytics Global Executive Study
• Data, analytics and machine learning: The new frontier of fraud prevention
• Demand Shaping Achieving and Maintaining Optimal Supply-and-Demand Alignment
• Doing good with government data Improving health, protecting the vulnerable, preventing fraud – and more
• Drive Next-Generation Customer Experiences with Real-Time Connected Product and Service Analytics
• Drive Next-Generation Performance With Real-Time Connected Manufacturing
• Fast and Furious: Big Data Analytics Meets Hadoop
• Field Experience in Embedded Analytics
• Forecast Value Added Analysis: Step-by-Step
• Forecasting 101 How to get more accurate forecasts with less cost and effort
• Formidable Forecasts How AI Delivers Better, Faster Forecasts
• Four Elements of Sustainability Analytics How Directors at Consumer Packaged Goods and Agriculture Companies Catalyze Sustainability While Building Market Position
• From chaos to coherence: Managing pandemics with data
• From Value to Vision: Reimagining the Possible with Data Analytics What makes companies that are great at analytics different from everyone else
• Getting Value From Your Data Scientists
• Government and education: Leading through change How analytics and AI are helping solve unprecedented challenges
• Governments leading through change How analytics and AI are helping agencies face unprecedented challenges
• Hosted managed services for SAS® technology
• How AI Changes the Rules New Imperatives for the Intelligent Organization
• How Can Retailers Satisfy Today's Customers? By using analytics to directly connect product demand to customer experience
• How the first mile of consumer goods can fight climate change
• How to Do Deep Learning With SAS® An introduction to deep learning for computer vision with a guide to build deep learning models using SAS®
• How to Maximize the Impact of your Analytics Research shows the strategic benefits from investments in an analytics platform.
• Improving disaster response efforts through data
• In-Memory Analytics: Get Faster, Better Insights from Big Data
• Industrial Transformation. Architecture and Analytics Just the Beginning LNS Research Spotlight
• Innovation driven by strategy From curing diseases to studying the sun, innovative uses of analytics are changing the world
• Innovation: From data to business Peer insights to help you navigate the journey to analytically driven innovation
• Integrating data. Enhancing decisions. Improving lives. How cloud-based analytics is transforming health care
• Leadership and Big Data Innovation A Harvard Business Review Key Learning Summary
• Leveraging data successfully for development
• Looking Inside SAS® Forecast Studio
• Machine learning and artificial intelligence in a brave new world Intelligence service: How the latest advances in AI will revolutionize business – and beyond
• Machine Learning Use Cases in Financial Crimes Ten practical and achievable ways to put machine learning to work

• Machine Learning With SAS® Enterprise Miner™ How a Team of SAS® Modelers Created and Determined a Champion Model to Predict Churn Using KDD Cup Data
• Make Every Voice Heard with Natural Language Processing Everything you need to know about communication between humans and machine intelligence
• Making Sense of AI
• Making the case: The ROI of demand management
• Mastering Model Lifecycle Orchestration An interactive guide
• ModelOps: Maximizing Value Across the Analytics Life Cycle
• Operationalizing and Embedding Analytics for Action A TDWI Best Practices Report
• Optimize Your Launch Sequence Strategies Maximize global revenue from international pharmaceutical product launches
• Out in the open with analytics Combining the benefits of SAS® and open source analytics
• Portrait of a CAO SAS Best Practices
• Rationalizing Risk in AI
• Recommendation Systems An Overview of System Types and Benefits - and Why You Should Implement With SAS®
• Redefine Your Analytics Journey With Interactive Data Exploration and Predictive Analytics Five steps to getting more value from your data and analytical investments
• Resilience: The best way to beat coronavirus Here’s how you ensure operational and financial stability–no matter the circumstances
• Sales & Marketing Report 2017 - The Digital Experience Progress updates on trade promotion, DTC, analytics, security and the digital enterprise
• SAS Analytics and Open Source
• SAS® in the Open Ecosystem How a unifying platform can bring together diverse data and analytics to drive measurable value for your organization
• SAS®: A Comprehensive Approach to Big Data Governance, Data Management and Analytics
• Seven trends that will transform banking and how technology and analytics can help
• Statistics and Machine Learning at Scale New technologies apply machine learning to big data
• Streaming analytics: Life happens fast. Are your analytics keeping up?
• TDWI Best Practices Report | Faster Insights from Faster Data TDWI Best Practices Report
• TDWI Checklist Report Analytics for Everyone: Seven Tips for Promoting Analytics Adoption TDWI Checklist Report
• TDWI Checklist Report Six Best Practices to Ignite the Customer Experience with IoT
• TDWI Navigator Report: Predictive Analytics
• Text Analytics for Executives What Can Text Analytics Do for Your Organization?
• The 3 R’s of AI Adoption: Refactor, Reinvent, Reimagine A SAS Best Practices white paper
• The Analytic Enterprise How to become a data-driven company
• The Analytics Mandate As analytics becomes a common path to business value, many companies are changing how they make decisions, operate and strategize
• The Artificial Intelligence of Things From smart connected devices to artificially intelligent things, services and experiences
• The Autonomous Grid in the Age of the Artificial Intelligence of Things
• The impact of data and analytics on local government Data and analytics are improving city living
• The Machine Learning Landscape A quick guide to the different types of learning
• The New Analytics Ecosystem Transform, evolve and operationalize
• The Next Analytics Age: Artificial Intelligence A Harvard Business Review Insight Center Collection
• The Next Analytics Age: Machine Learning A Harvard Business Review Insight Center Collection
• The Power of Collaboration How to Use SAS® Visual Analytics With Microsoft Office to Improve Information Sharing and Decision Making
• The Risks and Rewards of AI Harvard Business Review Insight Center Collection
• The secret to IT success? Enabling choice and control Orchestrate your efforts with an integrated platform covering all stages of the analytics life cycle
• The Use of Open Source is Growing. So Why Do Organizations Still Turn to SAS? Insights from a presentation at the 2014 Hadoop Summit
• Thirsting for Insight? Quench It With 5 Data Management for Analytics Best Practices
• Tomorrow's telco Transforming communications services with analytics
• Unleashing the Power of Text Analytics for Travel
• Using a Hybrid Open Source and Commercial Analytics Ecosystem A TDWI Pulse Report
• Using Analytics to Improve Customer Engagement Organizations that turn data into insights are gaining competitive advantage through improved connections with consumers
• Using Big Data to Enable the Omnichannel Retail Experience
• Using data to change the world How organizations are harnessing data to help solve some of the world's most challenging issues
• Utility analytics in 2017: Aligning data and analytics with business strategy
• What is the best path forward? Mathematical optimization finds the best courses of action through multiple variables and conflicting constraints
• What Makes a Data Scientist Great? A special collection of MIT SMR articles
• What Management Must Know About Forecasting
• What's Next for Life Sciences? 5 trends building resilience and driving innovation beyond COVID-19
• When One Size No Longer Fits All - Electric Load Forecasting with a Geographic Hierarchy
• Why choose a career in analytics? Job security, a larger salary, a chance to do good and more
• Workforce Analytics Essential Tools for Managing Your Most Valued Resources - Now and in the Future
• Your data scientist hiring guide Ask the right interview questions and compare your candidates to our data scientists
• Your guide to bridging the analytics skills gap Developing tomorrow’s data scientists to fill today’s industry needs

Artificial Intelligence

• 5 Steps to Accelerate Value From Your Industrial IoT Data
• Accelerate and improve business outcomes with AIoT How to deploy the artificial intelligence of things (AIoT) for stronger results
• Adopting AI: Industry Perspectives A Harvard Business Review Insight Center Collection
• Adopting AI: Linchpins of AI Success - Data Scientists and Their Algorithms A Harvard Business Review Insight Center Collection
• Adopting AI: Strategic Takes on AI Adoption A Harvard Business Review Insight Center Collection
• Adopting AI: The Impacts of AI on Management A Harvard Business Review Insight Center Collection
• AI for the CIO: 10 Tips for Success
• AI Momentum, Maturity & Models for Success: Focus on Singapore Based on findings from a global executive survey
• AI Momentum, Maturity and Models for Success Based on findings from a global executive survey
• AIOT: How IoT Leaders Are Breaking Away (IDC Market Report / AIoT Survey 2019)
• Artificial Intelligence for Executives Integrating AI Into Your Organization
• Artificial Intelligence in Banking and Risk Management Keeping Pace and Reaping Benefits in a New Age of Analytics
• Augmented Analytics: The secret ingredient to better business intelligence
• Data Management for Artificial Intelligence
• Data, Analytics & AI: How Trust Delivers Value Findings From the Annual Data & Analytics Global Executive Study
• Fearless Decision? Accelerate your decision capabilities to drive profitability and meaningful differentiation in digital banking
• Formidable Forecasts How AI Delivers Better, Faster Forecasts

• How AI Changes the Rules New Imperatives for the Intelligent Organization
• How to Do Deep Learning With SAS® An introduction to deep learning for computer vision with a guide to build deep learning models using SAS®
• How to Take AI Projects From Start to Win 4 pillars to starting an AI program
• Improve Customer Experience with Actionable Artificial Intelligence
• Machine learning and artificial intelligence in a brave new world Intelligence service: How the latest advances in AI will revolutionize business – and beyond
• Machine Learning Use Cases in Financial Crimes Ten practical and achievable ways to put machine learning to work
• Making Sense of AI
• Powering Health Innovation with AI Global hackathon teams use AI to accelerate cancer breakthroughs, combat childhood obesity, prevent falls and more
• Rationalizing Risk in AI
• TDWI Checklist Report Six Best Practices to Ignite the Customer Experience with IoT
• The 3 R’s of AI Adoption: Refactor, Reinvent, Reimagine A SAS Best Practices white paper
• The Artificial Intelligence of Things From smart connected devices to artificially intelligent things, services and experiences
• The Autonomous Grid in the Age of the Artificial Intelligence of Things
• The Innovator's Flight Plan to AI A Tech Leader's Guide to Process Innovation
• The Risks and Rewards of AI Harvard Business Review Insight Center Collection
• Transformational decision? Know your decisions will drive operational efficiency, support fairness and improve citizen outcomes

Big Data

• 5 Steps to Accelerate Value From Your Industrial IoT Data
• Analytics Accelerates Monetization Opportunities for Connected Vehicle and Mobility Services
• Best Practices for Hadoop: A Guide From SAS Customers
• Big Data, Analytics and Hadoop How the marriage of SAS® and Hadoop delivers better answers to business questions – faster
• Data Integration Déjà Vu: Big Data Reinvigorates DI
• Fast and Furious: Big Data Analytics Meets Hadoop
• Four Use Cases Show Real-World Impact of IoT
• From chaos to coherence: Managing pandemics with data
• Improving Data Preparation for Business Analytics Applying Technologies and Methods for Establishing Trusted Data Assets for More Productive Users
• Improving disaster response efforts through data
• In-Memory Analytics: Get Faster, Better Insights from Big Data
• IoT in Retail: Engaging the Connected Customer

• Leveraging data successfully for development
• Quality 4.0 Impact and Strategy Handbook Getting Digitally Connected to Transform Quality Management
• Recommendation Systems An Overview of System Types and Benefits - and Why You Should Implement With SAS®
• Return on Information: The New ROI Getting value from data
• Self-Service Big Data Preparation in the Age of Hadoop: A Conversation with SAS TDWI Data Innovations Showcase
• Statistics and Machine Learning at Scale New technologies apply machine learning to big data
• The Connected Customer: The Why Behind the Internet of Things Blue Hill Research - Analyst Insight
• The Connected Insurer Modernizing Insurance Using Analytics Solutions Built to Harness the Internet of Things
• The Key Factors Driving IoT Success Experienced Technology Users Reveal Best Practices for Delivering the Targeted Returns on Internet of Things Investments
• The Non-Geek's A-to-Z Guide to the Internet of Things
• The Use of Open Source is Growing. So Why Do Organizations Still Turn to SAS? Insights from a presentation at the 2014 Hadoop Summit

Business Intelligence

• 4Rs of Digital Farming: How SAS Is Advancing Precision Agriculture
• Accelerating the Path to Value with Business Intelligence and Analytics TDWI Best Practices Report
• Approachable Analytics With SAS® Web Solutions Using SAS for rapid prototyping of solutions
• Augmented Analytics: The secret ingredient to better business intelligence
• BI, Analytics, and the Cloud: Strategies for Business Agility
• Data Visualization Techniques From Basics to Big Data With SAS Visual Analytics
• Enrich Your Data With Location Analytics
• Field Experience in Embedded Analytics
• Four Elements of Sustainability Analytics How Directors at Consumer Packaged Goods and Agriculture Companies Catalyze Sustainability While Building Market Position

• How the first mile of consumer goods can fight climate change
• Redefine Your Analytics Journey With Interactive Data Exploration and Predictive Analytics Five steps to getting more value from your data and analytical investments
• Rethinking Enterprise BI to Fit a Self-Service World Seven Steps for Improving User Productivity and Solving Enterprise Governance and Quality Challenges
• Storytelling in Business: The plot, the players and the path to dynamic customer engagement A SAS Best Practices E-book
• TDWI Checklist Report: Gaining Business Value from Governed Analytics and Discovery Seven Steps for Solving People, Process and Data Challenges and Increasing Business Impact
• The Mechanics of Storytelling A SAS Best Practices E-Book
• The Power of Collaboration How to Use SAS® Visual Analytics With Microsoft Office to Improve Information Sharing and Decision Making
• Using Agriculture Analytics to Improve Field Trials The crop science disruption and the data-driven solution

Cloud

• BI, Analytics, and the Cloud: Strategies for Business Agility
• Delivering Insight and Innovation With SAS® Viya® on Microsoft Azure
• Delivering SAS® expertise to your cloud The Power of SAS® Remote Managed Services
• Discovering new possibilities with SAS Viya on Microsoft Azure Hackathon teams use powerful analytics to solve real-world problems
• Enabling data and analytics in the cloud What’s required – and why companies choose SAS managed offerings to ensure their success
• Exploring the true economic value of SAS managed offerings
• Field Experience in Embedded Analytics
• Four Winning Strategies for Digital Transformation
• Hosted managed services for SAS® technology
• Integrating data. Enhancing decisions. Improving lives. How cloud-based analytics is transforming health care
• IT Leaders Weigh Strategies and Challenges Around Analytics and the Cloud

• Migrating Analytics to the Cloud: It's About Time
• Outrunning risk with cloud Supercharged risks are running circles around banking risk models. Here’s how the cloud can keep you one step ahead.
• Overheard: 5 Questions IT leaders are really asking about SAS® and Microsoft Azure And the straight answers they deserve to hear
• Reimagine Analytics in the Cloud With SAS and Microsoft Azure Easily migrate and run analytic workloads in the cloud to meet business goals faster and drive innovation cost-efficiently.
• SAS and Microsoft: Shaping the future of AI and analytics in the cloud
• SAS® Analytics on Azure: Four Steps to Success with the Cloud Adoption Framework
• Security in the SAS® Cloud
• TDWI Checklist Report | Bring Your Analytics Investments into the Cloud-Native World: Key Best Practices TDWI Checklist Report
• The New Analytics Ecosystem Transform, evolve and operationalize
• The Total Economic Impact™ of SAS® Viya® on Azure Cost Savings and Business Benefits Enabled by SAS Viya on Azure

Data for Good

• Doing good with government data Improving health, protecting the vulnerable, preventing fraud – and more
• Using data to change the world How organizations are harnessing data to help solve some of the world's most challenging issues

• Why choose a career in analytics? Job security, a larger salary, a chance to do good and more

Data Management

• A Non-Geek’s Big Data Playbook Hadoop and the Enterprise Data Warehouse
• Best Practices for Hadoop: A Guide From SAS Customers
• Data Integration Déjà Vu: Big Data Reinvigorates DI
• Data is King The benefits of an insurance data model
• Data Management for Artificial Intelligence
• Data Management in Action: Solving Real-World Challenges
• Data Management: The Foundation for Successful Reporting and Analytics in Education
• Data Management: What You Need to Know and Why
• Data Preparation Challenges Facing Every Enterprise
• Data Privacy: Are You Concerned? Insights from a survey of US consumers
• Drive Next-Generation Customer Experiences with Real-Time Connected Product and Service Analytics
• Governments adapting to change Top tips for shifting to an enterprise analytics strategy
• Hadoop for the Enterprise: Making Data Management Massively Scalable, Agile, Feature-Rich, and Cost-Effective A TDWI Best Practices Report
• Improving Data Preparation for Business Analytics Applying Technologies and Methods for Establishing Trusted Data Assets for More Productive Users

• Making Sense of Hadoop and its Ecosystem An Investigation into the Evolution and Deployment of Hadoop
• Operationalizing Analytics What it is, why it matters and how to get started
• Operationalizing and Embedding Analytics for Action A TDWI Best Practices Report
• Profiling and Analytics under GDPR: Staying on the Right Side of the Regulation with Data Governance
• Recommendation Systems An Overview of System Types and Benefits - and Why You Should Implement With SAS®
• Revamping Data Management Big data proves catalyst to updating data management strategies
• SAS and the Hadoop Ecosystem
• SAS Best Practices Report: Data Lakes TDWI Best Practices Report
• SAS®: A Comprehensive Approach to Big Data Governance, Data Management and Analytics
• Self-Service Big Data Preparation in the Age of Hadoop: A Conversation with SAS TDWI Data Innovations Showcase
• TDWI Best Practices Report | Faster Insights from Faster Data TDWI Best Practices Report
• The General Data Protection Regulation: What It Means and How SAS® Data Management Can Help
• The SAS Data Governance Framework: A Blueprint for Success
• Thirsting for Insight? Quench It With 5 Data Management for Analytics Best Practices

Fraud

• 2021 State of Insurance Fraud Technology Study A study of insurer use, strategies and plans for anti-fraud technology
• Achieving program integrity for health care cost containment How analytics transforms health care costs for payer programs
• Advanced Analytics For Dissolving Data Silos
• AI Is at the Forefront of Reducing Money Laundering and Combating the Financing of Terrorism
• AML Modernization Embarking on the Journey
• Anti-Fraud Technology Benchmarking Report with ACFE
• Balancing Fraud Detection and the Customer Experience Why it can be more important to identify the good customers than the fraudulent ones
• Banking in 2035: global banking survey report
• Banking in 2035: three possible futures
• Data and Analytics to Combat the Opioid Epidemic
• Data, analytics and machine learning: The new frontier of fraud prevention
• Data-Driven Performance Federal News Network Executive Briefing
• Detect and prevent digital banking fraud How analytics and AI uncover the real challenge – synthetic identities
• Detect and Prevent Identity Theft How advanced analytics can uncover the fast-growing incidence of synthetic identities
• Developing Trust: Uniting Fraud and Consumer Experience Through Digital Identity
• Effective fraud analytics: 10 steps to detect and prevent insurance fraud
• Enforcing Tax Compliance in a Turbulent World
• Faces of Fraud Consumer experiences with fraud and what it means for businesses
• Fight money laundering with these 5 next-gen game changers from SAS
• Fighting Insurance Application Fraud Early detection of agent gaming, customer gaming and the potential for future claims fraud
• Fighting Money Laundering with Intelligent Automation
• Fighting the Rising Tide of Medicaid Fraud
• Fraud in Communications
• Fraudsters love digital How insurers can respond with real-time fraud analytics
• Government Procurement Offices Improving Fiscal Responsibility Through Data Analytics

• High velocity decisions. Trusted outcomes. Using analytics to redefine fraud prevention, AML compliance and public security
• How AI and Machine Learning Are Redefining Anti-Money Laundering The bad actors are making strong plays. Take every advantage to fight back.
• How Public Sector Agencies Can Use Analytics to Lead Through Crisis
• How to Succeed With Fraud Analytics What you need to know about data management, discovery analytics and deployment
• Keeping Fraud Detection Software Aligned With the Latest Threats Why it matters − and how next-generation software strengthens your defense against fraud
• Leveraging Analytics to Combat Digital Fraud in Financial Organizations
• Machine Learning Use Cases in Financial Crimes Ten practical and achievable ways to put machine learning to work
• Managing Fraud Risk in the Digital Age People, processes and technologies to address the emerging risks of online and mobile payments
• Managing the Intelligence Life Cycle A More Effective Way to Tackle Crime
• Next-generation AML 6 tips to modernize your fight against money laundering
• Operationalizing Analytics for Intelligent Fraud Detection and Case Management
• Payments Without Borders Mitigating fraud risks in cashless payments by holistically understanding your customers across all channels
• Proactive anti-financial crime strategies to improve compliance and reduce risk
• Procurement integrity powered by continuous monitoring Using predictive analytics to prevent fraud
• Protect the Integrity of the Procurement Function Trends and best practices in detecting and preventing global procurement fraud
• Protecting the Payments Fraud Prevention & Detection
• Rethinking customer due diligence
• Safer communities, trusted law enforcement
• The Escalation of Digital Fraud Global Impact of the Coronavirus
• The Future of Energy & Utilities: Transform Through Innovation Adaptable. Resilient. Low carbon.
• Top Trends: Why Tax Administrators Are Adopting New Data and Analytics Strategies
• Using Digital Identity To Unleash Organizational Data
• Using Modern Analytics to Save Government Programs Millions Enabling an Enterprise Approach to Fraud Detection Within and Across Programs
• Value and Opportunity: An Executive Guide to Procurement Integrity
• What Lies Beneath The prevalence of and approaches to procurement fraud in global business

IoT

• 5 Steps to Accelerate Value From Your Industrial IoT Data
• Accelerate and improve business outcomes with AIoT How to deploy the artificial intelligence of things (AIoT) for stronger results
• Advanced AI-Powered Energy Forecasting presented by IDC
• AIOT: How IoT Leaders Are Breaking Away (IDC Market Report / AIoT Survey 2019)
• Analytics Accelerates Monetization Opportunities for Connected Vehicle and Mobility Services
• Analytics and the Modern Energy Supplier How IoT and AI make digital utility transformation possible
• Analytics That Matter: A New World
• Bridging The IoT Perception Gap: Information vs Operational Technology
• Charging Ahead with EV Analytics Adopting a Flexible Approach to IoT Infrastructure for EV Integration
• Computer vision for product quality Delivering AI-embedded, industrial IoT analytics for the edge and the cloud
• Edge Computing Index: From Edge to Enterprise
• Four Use Cases Show Real-World Impact of IoT
• Industrial Transformation. Architecture and Analytics Just the Beginning LNS Research Spotlight
• Internet of Things: Understanding the Journey
• IoT in Retail: Engaging the Connected Customer

• Making Sense of AI
• Modern manufacturing’s triple play: Digital twins, analytics and the Internet of Things To imagine the power of digital twins, think in terms of your own health care
• Optimizing energy use in manufacturing with data and AI
• Quality 4.0 Impact and Strategy Handbook Getting Digitally Connected to Transform Quality Management
• Securing Your IoT Solution Stack A Proven, End-to-End Approach
• Streaming analytics: Life happens fast. Are your analytics keeping up?
• TDWI Checklist Report Six Best Practices to Ignite the Customer Experience with IoT
• The Artificial Intelligence of Things From smart connected devices to artificially intelligent things, services and experiences
• The Autonomous Grid in the Age of the Artificial Intelligence of Things
• The Connected Customer: The Why Behind the Internet of Things Blue Hill Research - Analyst Insight
• The Connected Insurer Modernizing Insurance Using Analytics Solutions Built to Harness the Internet of Things
• The Internet of Things: Marketing’s Opportunities and Challenges
• The Key Factors Driving IoT Success Experienced Technology Users Reveal Best Practices for Delivering the Targeted Returns on Internet of Things Investments
• The Next Big Leap in Asset Management Comes with Predictive Maintenance at Scale ARC Advisory Group
• The Non-Geek's A-to-Z Guide to the Internet of Things

Marketing

• AI and analytics are powering a demand planning and customer experience revolution Research Report: retailers and consumer goods companies are using data to improve supply chains, demand planning and customer experience
• Analytics Accelerates Monetization Opportunities for Connected Vehicle and Mobility Services
• Artificial Intelligence for an Improved CX
• Banking in 2035: global banking survey report
• Banking in 2035: three possible futures
• Beyond The Campaign Leading Marketing into the Future
• Brilliant decision? Automate decision making to improve customer experience and drive profitability in a rapidly changing world
• Cracking Tomorrow's CX Code Real-time customer intelligence for exceptional experience
• Cracking Tomorrow's CX Code Executive summary and key recommendations
• Creating Meaningful Data-driven Customer Journeys Building a Brand to Achieve Customer Trust Through Responsible, Personalized Engagement
• Customer Engagement Analytics: How to Use Data to Create (and Keep) Happy Customers
• Customer experience - now and into the future Research reveals 5 key themes driving customer experience
• Data and the customer experience Beyond the offer: Marketing delivers a better customer experience with analytics
• Data Elevates the Customer Experience New ways of discovering and applying customer insights
• Delivering Experiences That Win Business and Build Loyalty CX Champions Share Their Strategies
• Developing Trust: Uniting Fraud and Consumer Experience Through Digital Identity
• Experience 2030. The Future of Customer Experience is... NOW! Focus on North America
• Experience 2030: Pulse Report The Acceleration of Digital Engagement, Personalization and Trust
• Experience Evolution: Staying Ahead of Customer Expectations Through 2030 and Beyond Forbes Insights
• Getting to Why in Omnichannel Marketing Attribution
• How Can Retailers Satisfy Today's Customers? By using analytics to directly connect product demand to customer experience
• How Customer Intelligence Is Energizing the Utilities Industry
• Improve Customer Experience with Actionable Artificial Intelligence
• Improving Customer Experience How organizations of all sizes are using analytics to gain customer insights, make better decisions and grow their business
• Improving HCP Engagement with Digital Analytics
• In-the-Moment Marketing Real-time insights and actions
• Keys to robust credit risk modeling and decisioning for better customer experience
• Marketing Analytics for Manufacturing: Forging Customer Insights

• Marketing attribution: Giving credit where credit is due Customer journey analytics for performance measurement
• Maximizing Moments of Truth: Creating Meaningful Real-Time Customer Interactions
• Navigating the digital world without third-party cookies Explore the power of SAS® Customer Intelligence 360
• Operational Marketing: From Hard Work to Heroic Performance How SAS® solves your most frustrating customer engagement challenges and drives campaign success
• Operationalizing and Embedding Analytics for Action A TDWI Best Practices Report
• Personalized advertising that you control How banks can engage customers at scale with a dynamic ad delivery solution that pays for itself
• Planning For CDP Success: A guided journey for choosing a customer data platform
• Power your digital transformation with guided analytics
• Real-Time Analytics: The Key to Unlocking Customer Insights & Driving the Customer Experience A Harvard Business Review Analytic Services Report
• Redefining Brand Performance for the 21st Century
• Retail bank media networks: Monetize customer data with personalized offers and advertising
• Retail Experimentation: The New Fundamentals Big changes in retail require a new approach to customer-focused experimentation. Here's how to make it work.
• SAS - Hospitality Provider Nucleus Research ROI Case Study
• SAS Experience 2030 The Future of Customer Experience is... NOW!
• Strategic Marketing: From aspirational to exceptional customer experience How SAS® turns your most frustrating strategic challenges into compelling omnichannel marketing
• TDWI Checklist Report Six Best Practices to Ignite the Customer Experience with IoT
• The Architecture and Security of SAS® Marketing Operations Management
• The insurance data and AI revolution How you can adapt to new challenges, from quote to claim
• The Internet of Things: Marketing’s Opportunities and Challenges
• The Path to a Single Customer View A CDP guide for retail and CPG
• The Real-Time and Predictive Commerce Playbook for CMOs The next generation of winning shopper experiences starts with personalization and predictive engagement
• The Secrets of Delivering Exceptional Customer Experience
• Tomorrow's telco Transforming communications services with analytics
• Unleashing the Power of Text Analytics for Travel
• Using Big Data to Enable the Omnichannel Retail Experience
• Using Data to Create Outcome-Based Customer Experiences A practical approach to understanding, strategizing, implementing and using data-based outcomes to improve customers’ experiences
• Using Hybrid Cloud Capabilities for True Omnichannel Marketing
• Where does marketing stop and advertising begin? Navigating the new world of MadTech

Risk Management

• Adapting to the New Age of Risk Analytics Integrating Finance and Risk
• Analytics Platform and Program: Keys to Success for Regulatory Compliance in Financial Services
• Artificial Intelligence in Banking and Risk Management Keeping Pace and Reaping Benefits in a New Age of Analytics
• Banking in 2035: global banking survey report
• Banking in 2035: three possible futures
• Basel IV: The push you needed
• Building Artificial Intelligence in Credit Risk: A Commercial Lending Perspective
• CECL: Don't Neglect the Fundamentals
• Climate Risk Special Report 2020 with Risk.net
• Compete and win with better model risk management Why every business needs continuous and effective model risk management
• Decision science: From automation to optimization
• Designing the Infrastructure for Credit Risk Model Development
• Designing the Infrastructure for Credit Risk Model Development and Deployment in Utilities
• Firmwide Scenario Analysis and Stress Testing A Risk Perspective
• From Crisis to Opportunity: Redefining Risk Management How a more automated approach to risk management can transform banks’ performance, during the pandemic and beyond
• How to compete in the new era of customer-centric insurance Adopt an agile pricing strategy that recognizes changing behavior and risk profiles
• Insurers: Are you ready for IFRS 17? Top 10 things to look for in an IFRS 17 solution
• Intelligent Decision Automation for Telecommunications in the Digital Age
• Keys to robust credit risk modeling and decisioning for better customer experience

• LDTI: Finding a solution for today and tomorrow
• Machine Learning Model Governance
• Managing Models and Their Risks Computational and technological challenges present opportunities for a fast-evolving risk management discipline
• Model Risk Management: Today's Governance and Future Directions A GARP-SAS Survey on Model Risk in the Age of Artificial Intelligence and Machine Learning
• Modernizing Asset Liability Management Changing priorities in ALM technology, data and analytics
• Outrunning risk with cloud Supercharged risks are running circles around banking risk models. Here’s how the cloud can keep you one step ahead.
• Risk-Aware Finance and the Changing Nature of Credit
• Scenario-Based Risk Management: Overcoming the Challenges
• Seven trends that will transform banking and how technology and analytics can help
• Stress and Strategy: A C-Suite Guide to Scenario-Based Risk Management Moving beyond compliance to unlock business value
• Stress Testing 2.0: Better Informed Decisions Through Expanded Scenario-Based Risk Management
• Supercharge your ALM system: How treasury and finance departments can empower banks to brace for the unexpected
• Tackle the Complexity of IFRS 9 and CECL Standards Why some financial institutions struggle with credit loss allowance estimation – and what the leading ones do differently
• The balance sheet risk conundrum How to modernize ALM and liquidity risk management in turbulent times
• The balance sheet risk conundrum How SAS and Microsoft are modernizing asset liability management and liquidity risk management in turbulent times
• The insurance data and AI revolution How you can adapt to new challenges, from quote to claim
• The Value of Credit Risk Transformations and the Role of AI
• Unifying Model Management Across the Bank How banks can empower all departments to manage model risk effectively across the entire model life cycle

Small and Midsize Business

• Four Winning Strategies for Digital Transformation
• Improving Customer Experience How organizations of all sizes are using analytics to gain customer insights, make better decisions and grow their business

• Saving Time and Costs: How Small and Midsize Businesses Can Maximize the Power of Data TDWI Insight Accelerator
• The State of Digital Transformation (DX) for SMB Your 5 Steps to DX Success

Supply Chain

• A Practical View of New Product Forecasting
• Assisted Demand Planning Using Machine Learning for CPG and Retail
• Demand Shaping Achieving and Maintaining Optimal Supply-and-Demand Alignment
• Four Use Cases Show Real-World Impact of IoT

• Improving Inventory Replenishment for Retail Product Promotions
• Oilfield Analytics How New Insights Mitigate Subsurface Uncertainty and Unconstrained Risk
• What Management Must Know About Forecasting