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Predictive Analytics Research

  • Advanced Analytics Tools Help Users Find Meaning in Big Data

    Sponsored by: SearchBusinessAnalytics

    Collecting and storing massive amounts of data has little meaning without the proper advanced analytics tools to unlock hidden treasures of information.

  • Combine Hardware and Software Analytics to Put Big Data to Work

    Sponsored by: NEC Corporation of America

    In this white paper learn how you can combine both hardware and software BI analytics solutions to cut big data analysis time when processing the same amount of data, contain datacenter sprawl, easily combine and compare separate data sets to suit your business' needs and more.

  • How You Can Use Data Analytics To Change Government

    Sponsored by: Pure Storage

    This resource highlights the success stories of several government agencies that have implemented big data analytic programs to deliver better service to their citizens. By following in their example, learn how you can accelerate insights through the use of multi-tiered flash storage, improve your employees' data-literacy, and more.

  • 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. Uncover ways to monitor, maintain, and optimize assets with analytics.

  • The Business of Things: Designing Business Models to Win in the Cognitive IoT

    Sponsored by: IBM

    Access this report on IoT thought leadership to find out how you can build business model strategies to deliver value in the fast-changing business of smart devices. You learn about the important role that the convergence of IoT maturity and cognitive device intelligence will play in building stronger customer relationships.

  • The Business of Things: The Future in Cognitive IoT

    Sponsored by: IBM

    This resource examines the convergence of Internet of Things (IoT) maturity and cognitive device intelligence. Find out how to unlock unprecedented opportunities to create value and build strong customer relationships.

  • 7 Reasons to Combine IBM SPSS Software and R

    Sponsored by: IBM

    Discover 7 ways in which combining IBM SPSS software and R programming can enable super data analysis. See how you can take advantage of statistical analysis and graphing libraries to gain deeper insight from your data.

  • Predictive Analytics in the cloud: Expanding the possibilities with IBM SPSS software

    Sponsored by: IBM

    This white paper walks you through major factors to consider when choosing a predictive analytics partner. Make the transition to predictive analytics on the cloud more easily to gain the maximum benefit.

  • Ventana Research: Using Forward-Thinking Insights to Gain Competitive Advantage

    Sponsored by: IBM

    Organizations need to make decisions about investment priorities to have the skills and technology needed to apply predictive analytics effectively to their business. Uncover an investigation on predictive analytics practices, needs, and potential benefits based on research and analysis provided by real organizations.

  • The Benefits of Building your R Strategy

    Sponsored by: IBM

    Platforms that handle large data sets -- without the added costs of stringing packages and outputs together -- can address the limitations of R. Uncover strategies designed to help you use R to support a variety of data preparation, statistical analysis, and predictive modeling algorithms.

  • Guide Your Business with Forward-Looking Insights

    Sponsored by: IBM

    Browse this resource to achieve a greater understanding of predictive analytics and discover how to get results quickly. Gain the knowledge to perform highly sophisticated analyses on all types of data, including text, social media and geospatial, and keep your analysts focused on your most pressing challenges.

  • Predictive Analytics use cases and industry applications

    Sponsored by: IBM

    Predictive analytics can help any business organization determine what might happen next. Discover the many ways in which you can apply predictive analytics to boost your success, such as determining which products to sell, reducing fraud and save money, and other industry applications.

  • What Businesses Need to Know About the Digital Economy

    Sponsored by: SAP

    Vendors have accelerated the realization of the digital enterprise with game-changing engagements for predictive maintenance and warranty, analytics to manage big data, and connected intelligent manufacturing. Uncover startling statistics that illustrate the change on what customers expect from vendors in the digital economy.

  • Avoid Costly Hiring Mistakes & Discover Who Is Best Suited For Your Workforce

    Sponsored by: IBM

    Only 61% of recent hires would be rehired according to analyses from HR leaders and hiring managers. Metrics are useful in avoiding hiring mistakes, but knowing which ones to look at is only half the battle. Discover which metrics are most helpful, how to avoid costly hiring mistakes, and more.

  • Using Analytics to Build a Better Workforce and Clarify Hiring Decisions

    Sponsored by: Infor

    Behavioral modeling and predictive analytics can help HR pros improve their quality of hire in order to build and retain a more able workforce. Discover ways it can add data-driven clarity to hiring decisions when applied to HR processes.

  • 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.

  • Anticipate and Predict Customer Needs with Cloud-Based Analytics

    Sponsored by: zendesk (bime by)

    This case study explores how Miniclip, a London-based gaming company, leveraged cloud-based, self-service analytics to empower both technical and non-technical users. Find out how they created a centralized view of customer data with company-wide access to core business metrics.

  • 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.

  • HP Z Workstations with Intel® Xeon® Processors Analyze Data from Record-Breaking Jump

    Sponsored by: Xeon - Intel & hp

    Learn how Sage Cheshire Aerospace is enabling skydivers and astronauts to safely egress from high altitudes using scientific data collection and analysis on HP Z Workstations powered by Intel(R) Xeon(R) processors.

  • Inside Job: A Better Strategy to Stop Insider Threats

    Sponsored by: Infor

    Insider threats are the greatest risk to top-of-the-line cybersecurity. Your data and predictive analytics may be the best tools to protect against insider threats. This guide to insider threats walks you through a brief history of these threats, who could be considered insiders, and how to approach these issues now as well as in the future.

  • 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.

  • 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.

  • Unleash the Power of Predictive Analytics

    Sponsored by: SAP

    By finding the link between historical data and trends, businesses can execute the right promotions and increase sales -- and more importantly, learn what to avoid. Discover ways to make a difference to your bottom line with predictive analytics.

  • Using Predictive Maintenance to Approach Zero Downtime

    Sponsored by: SAP

    This white paper explores predictive modeling and analytics as a strategic approach to handling IoT and machine data. Find out how to implement predictive maintenance and take strides towards the goal of achieving zero downtime.

  • 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.

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