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Data Analytics Research

  • Event Processing with State Machines

    Sponsored by: TIBCO Software Inc.

    This paper discusses the TIBCO event-driven approach to real-time operational visibility. Learn how you can use the state machines functionality in the TIBCO even processing platform.

  • Good Data Governance Programs: Why the Urgency?

    Sponsored by: SearchDataManagement

    Companies aren't gaining enough value from big data. That's why there's a greater need to establish data handling policies and procedures that only good data governance programs can provide. Explore good use vs. abuse of customer data (Wells Fargo, Target, and Bank of America), 4 data governance concerns and best practices, and much more.

  • The Connected Customer: The Why Behind the Internet of Things

    Sponsored by: SAS

    The Internet of Things (IoT) provides customer-centric organizations with a unique opportunity to connect to key clients and improve service outcomes. But to do so, businesses must contextualize IoT data and analytics. Learn how to translate IoT analytics into customer value.

  • Taking Big Data Analytics to the Cloud

    Sponsored by: Rackspace

    Discover how HSBC, a financial services company and banking giant, adopted a cloud-first strategy to enhance analytics and solve big data business challenges. Hear from David Knott, a chief architect at HSBC, about how they addressed 5 key use cases with machine-learning and selected a cloud provider for analytics.

  • Improve Performance and TCO with SQL Server and the Right Compute

    Sponsored by: HPE and Intel® Corporate

    Recent technologies have emerged to strain databases, forcing expansion in both size and number. Access this white paper for best practices to improve database performance and TCO with SQL server and the right compute.

  • Research Findings: How Are Enterprises Using Analysis to Deploy Real-Life Predictive Models?

    Sponsored by: IBM

    In this Forrester Consulting Research Study, uncover how enterprises are analyzing transactional and operational data to create predictive models and the value that they perceive in deriving insights in real time. Discover the key challenges businesses face, 4 key research findings, and more.

  • How the Right Infrastructure Can Prepare Your Data Center for Business Disruptors

    Sponsored by: HPE and Intel® Corporate

    This Frost & Sullivan report discusses how to become a flexible, "change-resilient" organization by implementing an infrastructure that will enable your data center to adjust to business disruptors, like big data, hybrid cloud, and standardization tools, rather than forcing IT to rush to respond.

  • New Opportunities to Drive Analytics Value into Business Operations

    Sponsored by: IBM

    How can you achieve more opportunities from your analytics? Inside, learn about the IBM® DB2® Analytics Accelerator, and how it can allow organizations gain even greater insight and value from their data.

  • Data Wrangling Self-Service Data Preparation for Faster Insights

    Sponsored by: TIBCO Software Inc.

    What do your data sources need for a fresh start to better decision-making? Learn about tools that connect and blend data from relational and NoSQL databases, OLAP, Hadoop, and more sources so you can Easily and rapidly clean and enrich data while performing analysis.

  • How Telco Providers can Enable Real-Time Analytics and Decision-Making

    Sponsored by: Aerospike

    Discover how Telco Service Providers (TSPs) can provide seamless, connected experiences with insights from big data architectures and advanced analytics. Find out how to enable real-time decision-making with analytics capabilities that support network management, CEM, and digital innovation.

  • 5 Steps for Turning Industrial IoT Data into a Competitive Advantage

    Sponsored by: SAS

    This white paper explores how to sift through the noise of rising data volumes to find actionable insights that help you deliver on the promise of industrial IoT (IIoT). Discover 5 steps for turning IIoT data into a competitive advantage and learn how to evaluate, select, and implement an end-to-end analytics strategy.

  • The Right Time to Manage and Analyze Big Data in the Cloud

    Sponsored by: Rackspace

    In this expert e-guide, we explore the roles of public and private clouds as well as on-premise systems in big data management. Learn about the potential impact of cloud services on data lakes and analytics; plus, find out how to incorporate cloud-based machine-learning and AI into your big data strategy.

  • The Top IoT and Cloud Concerns Facing Big Data Management

    Sponsored by: Rackspace

    In this expert e-guide, we explore the trends that are projected to dominate big data in the immediate future. Learn about growing data management opportunities in IoT, the rise in machine-learning and self-service data prep tools, cloud-based analytics, and more.

  • Seven Big Data Infrastructures to Explore

    Sponsored by: Rackspace

    It's time for big data to become more relevant. We're finally ready to leverage those big data promises that have long been little more than hollow promises. This e-guide explores the pros and cons of seven big data infrastructures that will help you make the most of your data efforts.

  • Analytics as a Source of Business Innovation: A Research Report

    Sponsored by: SAS

    How many of your peers use analytics to beat out the competition? Inside this 7th annual MIT Sloan Management Review research report, learn about recent business innovation being achieved from analytics.

  • Hortonworks Data Platform on IBM Power Systems

    Sponsored by: IBM

    Learn how Hortonworks Data Platform (HDP) can help power big data analytics and AI. You'll find details on capabilities such as performance and flexibility, seamless integration of machine and deep learning, and more.

  • Achieving Real-Time Analytics With IBM z Systems Spark: A Use Case Demo

    Sponsored by: IBM

    In this use case demo, discover how Apache Spark on IBM z Systems helps a financial institution grow their business via targeted real-time offers for clients. Learn how real-time analytics can benefit your own organization.

  • Put Enterprise Data to Work for Analytics: How to Maximize Value

    Sponsored by: IBM

    Analytical insights have proven to be a key differentiator between those who define an industry and those who follow it. Learn about the challenges involved in delivering modern analytics, and uncover how you can use IBM z Analytics to embrace the journey to cognitive, on-premises, cloud, and hybrid analytics.

  • IT/Security Alignment Paves the Way for Effective Risk Management at University of Salzburg

    Sponsored by: Rapid7

    Find out how the University of Salzburg's small IT team was able to gain simple reporting that helped them prioritize and remediate issues based off the needs of the organization in this case study.

  • Gain Deeper Insights into Your System with this Vulnerability Management System

    Sponsored by: Rapid7

    In this white paper, learn about a new vulnerability management system which can provide you with constant intelligence to discover, pinpoint, and prioritize threats to your business.

  • IoT in Retail: Engaging the Connected Customer

    Sponsored by: SAS

    Discover how retailers can optimize their management of IoT data to anticipate customer needs and engage them where they choose to connect – mobile, in-store, or online. Find out how to update your analytics strategy to handle IoT volumes in order to generate insights that empower you to keep up with connected customers.

  • How to Enhance the Value of Analytic Insight with Real-Time Analytics

    Sponsored by: IBM

    Enterprise data is one of the most valuable of an organization's assets. To derive maximum benefit from high-value data, it needs to be accessed where it lives in real-time. Learn how to analyze data effectively in real-time, and get an overview of IBM real-time analytics.

  • Creating Value From Big Data & Analytics

    Sponsored by: SAS

    As new technology platforms generate ever more big data, organizations have new opportunities to gain important insights. But unless you begin to treat data as a key asset that is just as important as financial assets, those opportunities will be missed. Learn how to promote innovation through big data and analytics.

  • Universal Storage for Data Lakes: An ESG Evaluation

    Sponsored by: Dell EMC and Intel®

    This ESG paper challenges the de facto standard of direct-attached storage, and in it you will discover how scale-out NAS mitigates the challenges associated with data lake storage. Read on to see outlined the storage selection criteria for data lakes, which includes in-place analytics, accessibility by multiple app types, and more.

  • The Impact of IoT in the Manufacturing Sector

    Sponsored by: Aruba Networks

    Watch this brief video to learn how to connect IoT data from sensors on disparate devices to a single, common platform that allows manufacturers to bolster security, integrate siloed data and workflows, collaboratively share insights across teams, and more.

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