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  • The 5 Core Components of a Successful Data Strategy

    Data has grown considerably in size and diversity, and it's time companies adopt a comprehensive strategy to handle it. This resource lays out five core components of a data strategy that work together as building blocks to comprehensively support data management. Uncover details on how to identify, store, provision, integrate and govern data.

  • Act on Big Data While it's in Motion to Keep a Real-Time Pulse on your Business

    This fact sheet is designed to help you understand how to manage events while they are in motion. Uncover tools that help you analyze data continually as it's received, with benefits such as getting instant information and taking immediate action.

  • Visual Analytics for Making Smarter Decisions Faster

    This analyst report examines experiences with BI, visual analytics, and visual data discovery to uncover how organizations can move forward. Uncover ways to help users be more productive with data.

  • Foundations for Data Monetization

    This white paper is an extension of a research briefing from MIT CSR, and it offers a deep dive into data monetization research. Access now for a complete description of non-negotiable data monetization business capabilities.

  • The Scoop on Hadoop for Big Data Value

    Hadoop adoption hurdles can be cumbersome. View this infographic containing with recent IDG survey results of IT leaders and find out how to supplement Hadoop for your big-data challenges now.

  • The Internet of Things: Marketing’s Opportunities and Challenges

    In this white paper, you'll uncover an analytics approach that addresses the challenges of IoT-driven marketing. Learn now about ways you can make decisions regarding customers with significant events by using IoT data as it occurs.

  • Customer Intelligence in the Era of Data-Driven Marketing

    This white paper discusses how to improve your customer intelligence with real-time data analytics that can enable quicker response to customer needs. Discover how a centralized marketing analytics platform can enable your enterprise to implement true "data-driven" marketing and gain invaluable insight into what your customers want.

  • Customer Analytics Solutions: How the Top 11 Providers Stack Up

    This report evaluates significant customer analytics providers, including Adobe, IBM, SAP, SAS, and more, based on product fit, customer success, and client demand. Access now and discover which solution is the right fit for your enterprise so that you can better understand your customers and meet their needs and expectations.

  • Getting Value from your Data Scientists

    Access this white paper and find out how to avoid repeating some of the mistakes that have undermined the success of previous generations of analytical talent so you can best nurture and retain your most productive employees.

  • Anatomy of an Analytic Enterprise

    Collecting data is only a starting point; analysis is the key to success. Explore the anatomy of an analytic enterprise and review some key characteristics and tactics organizations must adopt in order to become a truly data-driven, intelligent enterprise.

  • Understanding Data Streams in IoT

    View this forward-thinking resource and discover a strategy that allows you to quickly decipher and analyze volumes of continuously flowing events held in streams of data, instead of having to run queries against stored data alone.

  • Taking IoT to the Edge With the Analytics of Things

    The IoT is not about embedding software into devices and then walking away. It's about evaluating the data deriving from objects, finding patterns, and extracting value to make more strategic business decisions. This resource uncovers strategies for better leveraging the IoT with an analytics-first approach.

  • Analyst Insight: IoT Analytics in Practice

    Research analysts conducted deep qualitative interviews with three organizations that invested significant time and resources into their own IoT analytics initiatives. Access now to uncover key themes and lessons learned from your peers.

  • Operationalizing and Embedding Analytics for Action

    This report uncovers ways you can operationalize analytics to derive business value. Learn now about current strategies and future trends for embedded analytics across both organizational and technical dimensions.

  • Experiments in Deep Learning

    This webcast explores how machine learning can speed model development without human intervention. How? SAS took on a classical problem in machine learning research, the MNIST database, a data set containing thousands of handwritten digit images. Learn how they did – and what it reveals about the future of deep learning.

  • How Hadoop Helps Realize Big Data Value

    When it comes to big data, Hadoop is a go-to solution of choice. So if you're looking for an open source software framework for storing data and running applications on clusters of commodity hardware, view our featured resource today (you also find out how to tap into enormous processing power to handle massive storage for any kind of data).

  • Worldwide Big Data and Analytics 2016 Predictions

    Will spending on cloud-based BDA tools grow faster than spending for on-premise ones in the next few years? What percent of all analytics software will incorporate prescriptive analytics built on cognitive computing functionality? Download and view independent global research results that reveal big data and analytics predictions based on fact.

  • Run Model Tournaments at Scale with Advanced Machine Learning – Quickly, Easily and Automatically

    Read this white paper and discover an analytics strategy that, with just a few clicks, you can modify and transform your data and if your models are underperforming in a specific segment, it's easy to manually fine-tune them to improve the accuracy of your predictions.

  • Streaming Analytics FAQ: What You Need to Know

    This expert e-guide provides answers to frequently asked questions about streaming analytics. Learn how streaming analytics complements traditional analytics, whether your enterprise can benefit from streaming analytics, and more.

  • Better Together: Hadoop and Your Enterprise Data Warehouse

    When looking at the big picture, Hadoop isn't an effective replacement for your enterprise data warehouse. So how can you get the best of both worlds? This expert e-guide explores how Hadoop and the data warehouse can complement each other on business intelligence projects to help you gain strategic insights

  • What's Happening in Today's Always-On Data—And Why You Need a New Approach

    This resource lays out the 3 steps to transform your organization in order to meet today's data challenges. Learn how to awaken your data, discover hidden value, and deploy your data-driven insights into processes or products.

  • Discovering the Business Value of Streaming Analytics

    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.

  • Five Steps to Maximizing the Value of Hadoop

    Many organizations are struggling to implement Hadoop. This resource describes the 5 critical steps to maximize the value of Hadoop before embarking on a big data project.

  • Three Use Cases for Interactive Data Discovery and Predictive Analytics

    This resource discusses how interactive data discovery and predictive analytics technologies can empower business users to make smarter, data-driven business decisions faster.

  • Big Data and Predictive Analytics: On the CybersecurityFront Line

    In this white paper, learn about the intersection between big data, analytics, and cybersecurity. Furthermore, gain an in-depth look at the types of attacks and the steps you can take improve organizational security, including: map and tap into existing data sources, use deep analytics to refine and sharpen the picture, and more.

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