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Predictive Analytics Research

  • Decision-Makers' Guide to Enterprise Intelligent Assistants

    Sponsored by: [24]7

    The enterprise intelligent assistant (EIA) phenomenon is expanding – and rightfully so. But it's important for decision makers like you to fully understand what EIAs can do and who the industry players are before you invest. This Opus Research report explores all things EIAs. Tap into 8 features of successful EIAs, 13 vendor assessments, and more.

  • Advance Enterprise Analytics with Self-Service and Governance

    Sponsored by: Pyramid Analytics

    Self-service BI can help business users quickly create data models and enable better decision-making, but this can't be achieved without centralized, managed security. Discover a highly scalable BI platform that can balance self-service BI with complete governance.

  • Enable Better Decisions for Everyone in Your Organization

    Sponsored by: Pyramid Analytics

    Many organizations struggle with inefficient, overly complex business intelligence processes that leave them with fragmented data and incomplete information. Discover a business intelligence platform that empowers users outside of IT to dive into data, with the security of a governed analytics environment.

  • Guide to Evaluating Strategic CPM Tools

    Sponsored by: TechTarget

    Using Corporate Performance Management software as a BI tool can enable your enterprise to improve your business planning and budgeting, and ultimately become more cost-effective. But many don't understand the difference between using CPM for financial vs. strategic reasons -- find out in our new e-guide!

  • Data Science Roles and Industries Infographic

    Sponsored by: IBM

    This infographic helps you explore how the different members of the data science team perform the necessary actions associated with analytics. Learn what roles and functions are required in a variety of industries, ranging from education to banking and finance, in order to fully leverage data and analytics.

  • Data Science is a Team Sport. Do You Have the Skills to Be a Team Player?

    Sponsored by: IBM

    To get the most valuable insights, quickly and reliably, successful organizations build data science teams that incorporate different skill sets and responsibilities. Learn which talents and abilities define members of a data science team, as well as how they complement each other.

  • Find a Breakthrough Platform for Big Data, Integration, and Analytics

    Sponsored by: InterSystems

    Discover how AssureNet, a road-risk management company, improved their real-time big data analytics approach to better harness the data they were collecting. Learn how they can now offer a comprehensive suite of technology-based risk management and loss reduction services after finding a breakthrough platform.

  • IBM Planning Analytics Demo Part II: Analyze Drivers That Impact Your Profitability

    Sponsored by: IBM

    Watch this short demo video to discover how you can use planning analytics to identify and act on insights in real time.

  • Integrating TM1 BI and Predictive Capabilities to Unlock the Hidden Value of Your Data

    Sponsored by: IBM

    Predictive analytics capabilities—and how they can unlock to power of your data—are often opaque.This brief webcast elucidates some of the core functionality of a predictive analytics tool. See a live demonstration of how you can get a single, accurate view of your customers and how they impact your business.

  • Breaking the barriers to financial planning with exploratory analytics

    Sponsored by: IBM

    Financial planning and analysis (FP&A) is about to experience explosive growth due largely to cloud computing as well as exploratory and predictive analytics. Explore this comprehensive guide to learn about the booming growth that's about to happen in FP&A and prepare to take advantage of it.

  • Your Expert Guide to Picking the Right Big Data Analytics Tool

    Sponsored by: Hewlett-Packard Enterprise

    Big data analytics can empower users to derive business value from massive amounts of varied data, but not every big data analytics tool is a good fit for every organization. This expert e-guide reveals how to choose the right big data analytics product to fit your enterprise's specific needs.

  • Get High Value Insights from Big Data Faster

    Sponsored by: IBM

    Discover a cost-effective, open, and scalable platform for big data analytics that can help you get timely insights from diverse volumes of data, optimize application performance, reduce total cost of ownership, and more.

  • Benefits of Predictive Analytics for the Manufacturing Industry

    Sponsored by: IBM

    The manufacturing industry has not yet taken full advantage of the ways predictive analytics can improve the supply chain. This expert e-guide dives into the benefits that manufacturers can experience with predictive analytics, especially when used in combination with sensor data from the Internet of Things.

  • Predictive Analytics: Forecast the Future of Sales

    Sponsored by: SearchCRM

    Learn from experts how predictive analytics should be used by sales teams, and the importance of having a strong model. Also uncover real-world examples of analytics being used to create more customer-specific advertisements and hire more promising workers, and how predictive lead scoring can help sales and marketing teams work together better.

  • Buyer's Guide: Leading Analytics and Business Intelligence Vendors

    Sponsored by: Information Builders

    How can you find one vendor that suits all of your specific business intelligence needs? This buyer's guide evaluates 15 leading business intelligence platform vendors. Discover which vendors lead the pack according to criteria like usability, reliability, TCO and ROI, and 4 more.

  • How to Unlock Big Data's True Potential

    Sponsored by: IBM

    When it comes to big data, it can be difficult to combine data from disparate sources into a meaningful and valuable picture. Discover a business intelligence platform that can allow you to integrate data from heterogeneous sources, augment the data warehouse with Hadoop data services, leverage real-time analytics, and more.

  • Foundations for Data Monetization

    Sponsored by: SAS

    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.

  • Research Analysis for Advanced Analytics Platforms

    Sponsored by: SAS

    This report produced by Gartner includes an analysis of advanced analytics platforms to help you become more familiar with tools heating up the analytics market. Uncover high-rated capabilities that offer reusability of workflows, more automation, analytics guidance and accelerators for common use cases.

  • Case Study: Analytics Strategy Empowers Natural Gas and Energy Supplier to Retain and Attract Customers

    Sponsored by: IBM

    This brief case study describes the analytics strategy that enabled a natural gas and energy supplier to minimize customer attrition and attract new customers. Discover how a customer-loyalty index and early warning indicators allowed them to reach out to unhappy customers with new offers and better customer service.

  • IoT technologies make inroads into manufacturing

    Sponsored by: GE Digital

    Many manufacturing organizations are turning to the Internet of Things (IoT) for effective predictive analytics that can affect their respective bottom lines. But the IoT can do so much more. In this e-guide explore the diverse capabilities of the IoT.

  • Big data revolution takes root among manufacturers

    Sponsored by: GE Digital

    Are manufacturers getting the most out of big data? In this expert e-guide, learn how your organization can take advantage of big data trends like business intelligence and predictive analytics to boost bottom line results.

  • Streaming Analytics FAQ: What You Need to Know

    Sponsored by: SAS

    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.

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

    Sponsored by: SAS

    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

    Sponsored by: SAS

    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.

  • Three Use Cases for Interactive Data Discovery and Predictive Analytics

    Sponsored by: SAS

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

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