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Data Analytics Research

  • Put Enterprise Data to Work for Analytics

    Sponsored by: IBM

    Analytics is undergoing a major change brought on by: changes in business analytics reporting, evolution to the cloud, consumer freedom, and more. So how can you put enterprise data to work with modern analytics? Learn how you can deliver maximum, real-time insight from enterprise data.

  • Bring Out The Best Insights With Modern Analytics

    Sponsored by: IBM

    It's important to keep up with your insights, so you can make the best decisions for your business. How can you make better business moves and bring analytics to where your data resides? Learn how you can deliver modern analytics with visual reports and dashboards across interfaces.

  • Overview of AWS Security - Analytics Services, Mobile and Applications Services

    Sponsored by: Amazon Web Services

    Cloud-based analytics services can help your organization process and analyze any volume of data. Download this resource to learn how your organization can benefit from a variety of cloud based analytics and mobile application services, ranging from identity and access management to mobile analytics, and deployment and management services.

  • SAP HANA and IBM Power Systems: Better Together

    Sponsored by: EOH IBM

    If you're looking to accelerate your ability to leverage SAP data and generate real-time insights, you may want to consider examining the servers that support your key apps and databases like SAP HANA. Learn about IBM Power Systems and how they measure up when compared to traditional x86-based servers.

  • SAP HANA on IBM Power Systems

    Sponsored by: EOH IBM

    The quantity of structured and unstructured data available to organizations is soaring – and the more they come to rely on this data, the more critical it is to ensure optimal database performance. Learn how to make the most of your data with SAP HANA on IBM Power Systems.

  • Real-Time Process Monitoring with the VIA IoT Analytics Platform

    Sponsored by: Vitria Technology, Inc.

    When combined with IoT data and advanced analytics, real-time process monitoring has the potential to enable executives to improve customer experiences and accelerate digital transformation initiatives. Learn about Vitria's VIA Analytics Platform and how it can help you enable real-time process monitoring.

  • Enterprise Analytics and Machine Learning

    Sponsored by: IBM

    How can machine learning put your enterprise data to work in analytics? In this resource center, learn how to enact machine learning for your enterprise data, how to extract maximum insights from your data, and uncover how IBM can help organizations harness their enterprise data via deep learning.

  • Can Machine Learning Prevent Application Downtime?

    Sponsored by: Hewlett Packard Enterprise

    In this white paper, you'll learn how to close the app-data gap causing downtime and application disruptions. Read on to discover how applying machine learning to your storage infrastructure can mitigate these issues with downtime prediction and automated prevention, rapid root-cause analysis, and more.

  • BI and Analytics on a Data Lake

    Sponsored by: MapR

    BI and analytics plus big data equals an explosive business differentiator across all industries and regions. Discover how you can create actionable insights by building big data BI and analytics on data lakes and converged data platforms.

  • Information Lifecycle Management: Harness The Power Of Your Data

    Sponsored by: Cintra

    Discover how to create a comprehensive information lifecycle management (ILM) strategy. Find out how to take a 4 tiered approach to categorizing and managing your data and learn about the key pillars of ILM.

  • Industry Insights to Balance Infrastructure and Applications for Digital Business

    Sponsored by: Pure Storage

    Much like oil, your data needs to be refined before it can be turned into something more useful. Access this e-book to learn how to handle emerging workloads, cloud migrations and mistakes, data management in uncertain times, and more.

  • A Practical Guide to Modern Data Architectures, Microservices, and Containers

    Sponsored by: MapR

    Explore how you can create a modern data architecture that brings more agility to your apps, data, and infrastructure for digital transformation initiatives. Plus, discover how to break down data siloes, tackle big data analytics challenges, increase agility with containers and microservices, and more.

  • Streaming Architectures for Big Data in Real-Time

    Sponsored by: MapR

    Discover how to design an architecture that helps you optimize performance for streaming data and analytics. Plus, learn about the relationship between streaming architectures and microservices, how Apache Kafka and MapR streams measure up, and more.

  • Machine Learning Logistics and Model Management

    Sponsored by: MapR

    Explore the logistics of machine learning, big data, and DataOps. Plus, learn why model management matters, and discover the different tools and subsets of machine learning.

  • Machine Learning Boosts Application Uptime

    Sponsored by: Hewlett Packard Enterprise

    Use this infographic to learn how applying machine learning analytics to your storage system can help you smooth and simplify the identification and remediation of data delivery interruptions.

  • Who Can Benefit from SAP HANA Database and S/4HANA on IBM Power Systems?

    Sponsored by: EOH IBM

    Find out how to improve flexibility, performance, and reliability for SAP HANA databases. Plus, learn how to support highly data-intensive workloads and update your underlying hardware, architecture, and processors that support SAP HANA.

  • Machine Learning Delivers Greater Availability

    Sponsored by: Hewlett Packard Enterprise

    How can you achieve 99.9999% availability? How can you analyze more than a trillion data points and translate it into actionable insights? Access this case study to learn about an analytics framework that leverages machine learning to keep your data available and valuable.

  • Empowering Business Users with Big Data

    Sponsored by: AWS - ZoomData

    Harnessing your big data to transform it into insight is a powerful business tool. But the questions remain: How can you deliver blazing-fast visual analytics for all business users? In this case study, learn how Blue Canopy, a cyber-solutions provider, empowered their business users with an on-demand data science workstation.

  • Planning for Digital Transformation with a Converged Data Platform

    Sponsored by: MapR

    Discover how to keep up with the progression of big data use cases by implementing a converged data platform that leverages the power of Hadoop, Spark, and Apache Drill.

  • IoT Edge #2: Enhancing Productivity

    Sponsored by: Atos

    Experts predict that by 2018, 81% of organizations will use IoT to enhance their productivity. Take a minute to learn turn your data into actionable insights, performance enhancements, and more.

  • Managing the Big Data Onslaught

    Sponsored by: SearchDataManagement

    This issue explores how big data management systems can pay big dividends for companies willing to break traditional business patterns and divert their data lakes into new revenue streams.

  • IoT Edge #1: Cost Optimization

    Sponsored by: Atos

    The Internet of Things (IoT) may seem like a hassle to incorporate, but it is worth it when you consider how much data can be leveraged. Take a minute to learn about the use cases of IoT for cost optimization through predictive maintenance.

  • NetSuite for Software and Internet Companies

    Sponsored by: Oracle and NetSuite

    Examine the cloud-based NetSuite business software platform. From financials to customer interactions, find out how you can simplify business management and enable continuous customer lifecycle engagement, intuitive dashboards and BI metrics, and more.

  • Skechers Leverages DBaaS to Deliver Seamless Omnichannel Customer Experiences

    Sponsored by: IBM

    Find out how Skechers used database-as-a-service (DBaaS) technology to help deliver seamless omnichannel customer experiences across web, in-store, and mobile mediums as well as accelerate data queries, analytics, and customer insights.

  • New wave BI and analytics: turning modern data stores to account

    Sponsored by: ComputerWeekly.com

    This e-guide looks at how companies and other organisations are doing BI and analytics on the newer data stores.

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