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Data Analytics Research

  • How HPE Vertica Makes Hadoop Sing

    Sponsored by: Hewlett Packard Enterprise

    In this white paper, discover how you can eliminate barriers to accessing insights from your data in Hadoop. Learn the features of one tool that can provide a means to this end, including out of the box performance, Kafka and Apache Spark connectors, scalability, and more.

  • Selecting the Right SQL-on-Hadoop Engine to Access Big Data

    Sponsored by: IBM

    In this expert guide, Rick van der Lans, big data expert and director and founder of R20/Consultancy, reveals the key criteria to consider when comparing different SQL-on-Hadoop choices. Discover the 6 major requirements to consider during your decision-making process.

  • MLBAM Builds New Player Tracking System on AWS Using Power of Big Data Analytics

    Sponsored by: Amazon Web Services

    Find out how a cloud platform helps MLBAM run the big data analytics platform that powers its Statcast product. You'll learn how they are delivering new information that helps fans, broadcasters, and teams better understand the dynamics and athleticism of the game.

  • Enabling Businesses to Acquire and Retain Customers as the Digital World Turns

    Sponsored by: HPE and Intel®

    This white paper highlights technology spending trends from polled IT organizations. Access this resource and discover why so many CIOs believe improved data analytics for BI and customer insight should drive technology spending.

  • IBM Data Engine for Analytics: IBM Power Systems Edition

    Sponsored by: IBM

    Access this white paper to learn how you can gain the flexibility needed to deal with changing data requirements by exploring the performance and usability benefits of a platform designed for efficient management of big data and analytics.

  • Delivering Instant Sales and Stock Analytics with SAP HANA on IBM Power Systems

    Sponsored by: IBM FD

    Find out how, by migrating SAP HANA to the IBM Power Systems platform, major shoe retailer HR Group accelerated key analytics processes, delivering near-instant insight into market trends at lower operational costs.

  • Five End-User Computing Predictions for 2016

    Sponsored by: Dell, Inc.

    This blog post reveals the top five trends that will impact end user computing (and to a greater degree IT as a whole) in 2016. Here's a sneak peak at what made the list: digital transformation. Access now to learn the others.

  • Data Sheet: Hadoop-as-a-Service

    Sponsored by: IBM

    Learn how you can avoid throwing large monetary and human resources investments at managing analytics applications. Instead, learn how you can leverage a cloud platform without the complexity and costs, but the same benefits.

  • Fueling Free Markets in the Insight Economy with Apache Spark

    Sponsored by: IBM

    Find out Apache Spark can enable data analytics capabilities that Hadoop alone can't provide. Learn the various ways Spark can unlock the potential of big data, including streamlined development, simplified data access, accelerated analytics results, and more.

  • Foundational Methodology of Data Science

    Sponsored by: IBM

    This white paper considers a 10 stage data science methodology that spans technologies and approaches. Access now and dive in - discover what you need to do to form an iterative process for using data to uncover insights.

  • Departmental Specialization Needed With Analytics

    Sponsored by: SearchBusinessAnalytics

    Different departments have different needs. A functional analytics approach may be the best way for companies to handle deployments.

  • 30-Day Complimentary Trial to BI Office

    Sponsored by: Pyramid Analytics

    Access a complimentary 30-day trial to BI Office, a platform that can empower your enterprise to collaboratively solve difficult problems and make better decisions.

  • Customer Analytics: Top 11 Vendors Compared

    Sponsored by: IBM

    This Forrester resource weighs the top 11 customer analytics vendors against each other, revealing how each one measures up. Discover the strengths of each choice to determine which option is right for you.

  • Increasing Sales and Customer Loyalty with Merchandising Analytics

    Sponsored by: IBM

    Learn how to extract actionable insight from massive volumes of social data and internal unstructured data in order to optimize merchandising.

  • Customer Analytics Enrich Customer Journey Design

    Sponsored by: IBM

    It's challenging to transform massive amounts of diverse customer information into actionable insights. Uncover key insights from a survey conducted with over 1000 global executives about customer analytics. Discover how you can proactively guide marketers and sales reps to drive revenue, shorten time to value, and more.

  • B2B Services Analytics: Gain New Insight and Improve Business Decisions

    Sponsored by: IBM

    How can you get relevant information in time to make critical choices before the competition does? Learn how you can efficiently gain insight into your B2B interactions, so you can analyze KPIs, trends, failures, and areas for improvement.

  • Architectural Choice For SAP Customers That Want to Move to HANA

    Sponsored by: IBM

    Produced by IDC, this white paper explores architectural choices for SAP users that want to move to HANA. Learn about the IBM-SAP relationship, opportunities and challenges of running HANA and steps you can take to ensure you make an informed decision on selecting a new infrastructure that will help your organization be more competitive.

  • Can Machine Learning Prevent Application Downtime?

    Sponsored by: Nimble Storage

    This white paper examines why storage is one of the most critical components in turning big data into valuable insights. Inside, learn how with the right storage platform you can improve application performance, minimize or eliminate potential problems; continually improve availability, and more.

  • Case Study: Fast, Simple, and Smart Hosting Services

    Sponsored by: IBM

    Find out how Technische Universität München (TUM), one of the world's leading technical universities, deployed an integrated stack to gain the ideal platform for high-performance, ultra-flexible SAP hosting services.

  • IT4IT for Managing the Business of IT

    Sponsored by: ComputerWeekly.com

    IT4IT™ for Managing the Business of IT – A Management Guide, from The Open Group, provides best practice advice and focuses on the data and automated workflows needed to manage IT services in a lean, agile and business-focused way.

  • Listen to Employee Voice in Real-Time to Make Fast, Informed Decisions

    Sponsored by: IBM

    This video examines how you can analyze employee feedback in real-time to identify areas of opportunity and drive better business performance. Discover how this data-driven strategy can uncover insights to help you know where to focus, mitigate risks, address hot spots, and create action plans.

  • Turn Your Employees' Voice Into Action

    Sponsored by: IBM

    Explore the importance of using big data and analytics to listen to employees' voice, and then analyze and act on these insights. Learn how this strategy can improve business performance.

  • Preparing Your Data Architecture for Big Data Analytics

    Sponsored by: Hewlett-Packard Enterprise

    While big data can provide actionable insights to drive business value, your enterprise can't experience those benefits without the right data architecture in place first. In this e-guide, analytics expert Lyndsay Wise reveals the 4 crucial factors to keep in mind before embarking on a big data project.

  • Big Data Analytics and Self-Service BI: What Should IT's Role Be?

    Sponsored by: Hewlett-Packard Enterprise

    Should you outsource big data analytics or leverage in-house talent on your IT staff? Similarly, how can you balance freedom for business users and IT oversight for self-service analytics? What should IT's role be? This two-part e-guide discusses different perspectives on IT's proper place when it comes to big data analytics and self-service BI.

  • 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.

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