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Data Analytics Research

  • Nucleus Research CPM Value Matrix 2016

    Sponsored by: IBM

    Despite a relatively mature market, new capabilities and features in corporate performance management (CPM) solutions are making performance management easier and are driving greater insight for users. Learn what to look for in your next CPM solution to lower your total cost of ownership and maximize the value from your CPM deployment.

  • Finance Analytics: 7 How-to's and Millions of Whys

    Sponsored by: IBM

    Find out what a survey of almost 1,000 CFOs returned in terms of insights into ways financial leaders can maximize ROI, including 7 things top financial leaders are doing differently.

  • 3 Reasons In-Cluster Analytics is a Big Deal

    Sponsored by: Looker

    A lot of data in Hadoop you're looking to analyze? You don't have to continue bumping up against the limits of the database you're moving the data into—or how much of it you can afford to use. You can now leverage the power of the cluster you already have in place, expanding and accelerating what you can do while saving you time and money.

  • Spreadsheets for Planning? A Popular Tool Needs Help

    Sponsored by: IBM

    Today, there are more advanced capabilities that spreadsheets alone can't provide. Learn how navigating around common performance management pitfalls can be as simple as adopting an analytics tool that provides flexible analysis, data exploration, and collaboration using familiar tools and techniques—both in the cloud and on-premise.

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

    Sponsored by: IBM

    Discover how a unique, cloud-based combination of predictive analysis, business-user modeling, reporting, and collaboration can empower individuals across your organization to identify new business opportunities and make better-informed decisions.

  • Hitachi Content Platform: Intelligent Structure for Unstructured File Data

    Sponsored by: Hitachi Data Systems

    Object storage solution can bring efficiency and structure to your data management by enabling organizations to store, protect, analyze and retrieve file data from a single system. Discover how this content platform can also enable your enterprise to control data mobility, reduce backup via built-in data protection, and more.

  • The Briefing Room: Analysts Discuss New Cost Structures in Analytics

    Sponsored by: Hewlett Packard Enterprise

    In this episode of The Briefing Room, analysts at The Bloor Group take an independent look at how HPE Vertica can enable you to harness the power of the internet of things and improve the sophistication of your data analytics strategy.

  • Content Analytics Paves Way to Actionable Insight

    Sponsored by: Axway

    Organizations are finally opening their eyes to the importance of centralizing data in ECM systems rather than public drives. This e-guide highlights the key benefits and challenges that many organizations have cited to come with ECM analytics.

  • Analyzing Buyer Behavior at the Speed of Business

    Sponsored by: Hewlett Packard Enterprise

    Watch this webcast to learn how HPE Vertica and Qlik's data virtualization platform enable Sky IT Group to accelerate its data analytics processing speeds and gain benefits such as reduced load time by over 70%, decreased database storage by over 90%, reduced infrastructure costs by 50%, labor costs by 30%, and more.

  • Computer Weekly – 14 June 2016: The password's the problem – lessons from the LinkedIn breach

    Sponsored by: ComputerWeekly.com

    In this week's Computer Weekly, after millions of LinkedIn users had their data compromised, we look at the lesson to be learned from this latest data breach incident. Our buyer's guide looks at NoSQL technologies and compares Microsoft's and Oracle's offerings. And we examine the benefits of cloud-based data analytics. Read the issue now.

  • Vertica Advanced Analytics

    Sponsored by: Hewlett Packard Enterprise

    Access this resource to get an inside look at an advanced analytics solution that can enable organizations to manage and analyze massive volumes of structured and semi-structured data quickly and reliably.

  • Preparing Your Data Architecture for Big Data Analytics

    Sponsored by: Hewlett-Packard Enterprise

    In this e-guide, analytics expert Lyndsay Wise reveals the 4 crucial factors to keep in mind before embarking on a big data project. Ahead, we explore why traditional data warehouse architectures aren't a good fit for the challenges of big data.

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

    Sponsored by: Hewlett-Packard Enterprise

    This two-part e-guide discusses different perspectives on IT'sproper place when it comes to big data analytics and self-serviceBI. Ahead, we explore how enterprises and experts at Forrester arenavigating these issues.

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

    Sponsored by: Hewlett-Packard Enterprise

    In this expert e-guide, David Loshin, President of Knowledge Integrity Inc., explores various big data analytics tools to help you determine if you have a legitimate business case to dive into big data.

  • The Rise of Object Storage

    Sponsored by: IBM

    Object storage solutions can meet requirements for data protection and management that traditional external storage solutions cannot at high capacity. Discover key considerations your enterprise should include when evaluating an object storage solution and see the many use cases for object storage.

  • Affordable Business Transformation: "Just Right" IT for SMBs

    Sponsored by: HPE and Intel®

    Examine in this paper several case studies which demonstrate how to facilitate successful digital transformation in your SMB. Whether your organization is in the retail, construction, beverage, or energy industry, discover how to make the most of your investments by directing your efforts in 4 key areas.

  • DataWorks Solution Brief

    Sponsored by: IBM

    42% of business professionals spend more than 40% of their time fixing and validatiing data before analyzing it. With increasing amounts of data coming from new technologies, this is a major pain point. Read on to learn about a solution that delivers data quality and easy access for business users.

  • Deploying Hadoop: Learning Curves, Skills and What to Expect

    Sponsored by: IBM

    In this e-guide, learn expert advice on deploying Hadoop in your organization, including what to expect in terms of a learning curve, as well as whether you should invest in the skills required to make Hadoop a reality or consider other tools that might better suit your specific needs instead.

  • The Evolution of Analytics: Opportunities and Challenges for Machine Learning in Business

    Sponsored by: SAS

    This in-depth resource describes the opportunities machine learning affords to analytics strategies. Learn how to overcome common challenges of incorporating machine learning and how two organizations specifically are navigating modern analytics technology opportunities and pitfalls.

  • Facilitate Better Data Access, Business Growth, and Collaboration

    Sponsored by: Sage Software

    Better access to data begins with uniting all areas of your business. Explore ways to connect everyone from finance, to distribution, to manufacturing with the right business management strategy.

  • Top 10 Strategies For Modernising Call Centre Optimisation

    Sponsored by: Genesys

    There are typical business and operational challenges found in the majority of contact center operations. Explore ways to deliver on service level agreements, stay within the operating budgets, improve the analysis of process efficiency, identify the root causes of issues, and much more.

  • 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.

  • Big Data & Analytics For Dummies 2016

    Sponsored by: Cisco Systems, Inc.

    In this essential guide, you'll discover a detailed outline of the rapidly evolving fields of big data management and data science. Get the latest information on big data and analytics, and find out what it takes to succeed with this technology.

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