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Predictive Analytics Research

  • Case Study: Enhancing Risk Mitigation with Automated, Flexible Analytics

    Sponsored by: Infogix

    Meta Payments Systems wanted to identify and mitigate information risks proactively within their processing environment by deploying automated analytics. Find out how they enhanced visibility, generated valuable operational insight, and resolved information risks with an advanced analytics platform.

  • MTS Allstream Leverages Advanced Analytics to Reduce Fraud by 200%

    Sponsored by: Infogix

    This case study explores how MTS Allstream resolved the disconnect between the information they were storing and their ability to analyze this data. Access now to learn more about the enterprise-grade analytics platform they leveraged to revolutionize fraud management.

  • Step-By-Step CRM Data Analytics for Sales Teams

    Sponsored by: Infor

    Metrics aren't answers; they are prompts for questions that probe statistics for deeper insight. Discover the simplest way to find the actionable insights hidden in your data analytics. Learn best practices and considerations for using metrics in analytics and see how to turn them into powerful tools.

  • 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.

  • Advanced Analytics Tools Help Users Find Meaning in Big Data

    Sponsored by: IBM

    In this expert e-book, find out why in a recent TechTarget survey, predictive analytics was the top choice for planned BI and analytics investments, and how adoption of Hadoop has already allowed major companies to take the next step in big data management.

  • Avoid unexpected downtime with Predictive Maintenance Analytics

    Sponsored by: Hewlett-Packard Enterprise

    Real-time monitoring of sensor data combined with all other external data sources enables you to proactively make decisions to keep people and processes moving forward. Learn how to monitor, maintain, and optimize assets with predictive analytics.

  • How to Use Predictive Analytics & Big Data to Hire the Right People

    Sponsored by: Intel Corporation

    By successfully utilizing big data and predictive analytics, you can fit the right person to the right job. Watch this 2 minute video to see an example of how big data and predictive analytics are being used to streamline the teacher-hiring process and ensure that the right teachers go to the right schools.

  • Leveraging Predictive Analytics to Foresee Future Purchasing Behaviors

    Sponsored by: Intel Corporation

    This Hadoop-big data case study explores how a major supplier of household electronic appliances strategically approached their big data and predictive analytics needs. Find out how they created secure predictive models to answer critical business questions about buyer behavior so that they could identify the likelihood of future purchases.

  • Optimize Supply Chain Management with an In-Memory Data Platform

    Sponsored by: Intel Corporation

    Legacy supply chains can suffer from issues like data latency, data fragmentation, and a lack of scalability, which can hold businesses back in an increasingly fast-paced, data-driven world. Find out how to empower supply chain management teams with agility, real-time business intelligence, and predictive analytics capabilities.

  • How to Build a Predictive Analytics Model

    Sponsored by: IBM

    By focusing on a few strategic imperatives, organizations can transform their cultures and outpace their competitors. Uncover this resource to learn about the four pillars of predictive analytics, and how each one creates a smarter business.

  • Data Science is a Team Sport -- Do you Have the Skills to be a Team Player?

    Sponsored by: IBM

    How do raw metrics and records become information that drives business results? Explore ways to equip data scientists, engineers, and more with the skills they need to make actionable, valuable insights.

  • Improve Planning, Budgeting, and Forecasting with Advanced Analytics

    Sponsored by: IBM

    Even businesses with top-performing enterprise performance management (EPM) strategies may need to tweak their approach in today's volatile market. Access this resource to get key facts from the Aberdeen Group about EPM strategies that take advantage of predictive analytics.

  • The Foundation of Sound Performance Management Strategies

    Sponsored by: IBM

    Access this resource to uncover strategies that allow you to automate processes and implement enhanced collaboration for improved performance management. Find out how you can update your analytics capabilities to get accurate forecasts, create predictive models, and drive better decision-making.

  • Next Generation Financial Performance Management

    Sponsored by: IBM

    Are you looking to update your Financial Performance Management and analytics capabilities? Access this resource to uncover strategies that will enable you to anticipate performance gaps, analyze root causes, and assess alternatives. Find out how you can improve decision-making, implement profitability modeling, and more.

  • Hadoop Deployments: Maximizing Efficiency for Big Data Analytics

    Sponsored by: IBM

    Many businesses recognize Hadoop as a premier cloud app framework, but they still don't know how to deploy Hadoop properly or prepare for its pitfalls. In this e-guide, we identify and explore some of the biggest Hadoop challenges. Find out how to resolve these issues and unlock the benefits of big data analytics.

  • Accessing the Benefits of Big Data Analytics

    Sponsored by: IBM

    Selling business executives on the value of big data analytics apps is becoming a to-do list item for more IT managers. In this e-guide, we analyze the platforms different companies used to implement Hadoop-based analytics and BI apps. Find out which ones worked for them so you can make a more informed decision about your future in big data.

  • 7 Capabilities in Performance Management for a World of Volatility, Uncertainty and Risk

    Sponsored by: IBM

    Finance teams are often slow in delivering important data and analysis business executives to make informed decisions. Performance management tools can help, but in what ways? In this white paper, learn 7 key capabilities of performance management software, how you can accelerate analytics insights, and more.

  • Hadoop-Enabled Analytics: Don't Ignore the Elephant in the Room

    Sponsored by: IBM

    This report by Aberdeen investigates the impact Hadoop is having on the performance of today's companies and how they use data. Learn why companies using Hadoop are more than 3 times as likely to be satisfied with data quality as those who are not leveraging Hadoop.

  • The Paddle you Need When You're up Cloud-Based Streams

    Sponsored by: SAP

    Analytics are progressively more difficult to implement and use, but return an array of bountiful business benefits. In this guide, discover details on descriptive, diagnostic, predictive, and prescriptive analytics tools iterated by experts. Also learn about Manchester City F.C.'s success with a cloud-based SAP HANA platform to support its growth.

  • 5 Key Capabilities Surrounding a Top-Notch Hadoop Environment

    Sponsored by: IBM

    Companies that have current Hadoop deployments are more likely to exploit a variety of capabilities, like data governance and predictive analytics. In this Aberdeen Group report, Discover how you can take advantage of the same technologies and capabilities by improving your data environment with support from Hadoop.

  • 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.

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