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  • IoT Data: MindSphere Use Case and App Evaluation

    Sponsored by: Atos

    Discover how to keep the wealth of industrial IoT (IIoT) data from going to waste by using an open IoT operating system to transform data into actionable insights. Learn about MindSphere – a scalable, cost-effective cloud platform that enables manufacturers to access and analyze production data from their mobile devices.

  • Text Analytics: Unlocking the Value of Unstructured Data

    Sponsored by: SAS

    Most organizations – across industries – have only scratched the surface of what can be learned through the analysis of unstructured text data. In this paper by International Institute for Analytics, uncover how to unlock the value of unstructured data through text analytics.

  • 5 Steps to Success with SAP HANA

    Sponsored by: Atos

    This white paper explores how best to use SAP HANA within your organization, optimize its business value, and understand the key drivers for its success. Uncover 5 steps to leverage SAP HANA as a business advantage and learn about 5 foundational keys to SAP HANA success.

  • Analytics & IT: A New Opportunity for CIOs

    Sponsored by: SAS

    IT has been at the center of making analytics a powerful tool used throughout every unit of the business organization. Inside, discover the opportunity for greater use of analytics in IT, the eras of analytics and the unique characteristics of each, and uncover how IT will change in Analytics 4.0.

  • 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.

  • 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.

  • 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.

  • 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.

  • 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.

  • 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.

  • 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.

  • How IoT Will Transform the Retail Industry

    Sponsored by: Aruba Networks

    Watch this brief video to learn how retailers can connect data from IoT devices, in-store interactions, mobile apps, and more to create and share insights across departments that boost sales and customer experiences.

  • How Industrial IoT is Transforming Manufacturing

    Sponsored by: Bayshore Networks

    Data, data, data – with the advent of IoT, it's both one of the most promising and one of the most missed out on opportunities in the manufacturing industry today. In this e-guide, we explore the world of industrial IoT (IIoT) and how to leverage its massive data with analytics and machine learning.

  • The Next Step for Advanced Analytics: Data Science Platforms

    Sponsored by: SAS

    To help you survey the field of available options and pick the best data science platform for your business, this Gartner Magic Quadrant evaluates 16 of the top vendors and their offerings. From IBM and SAP to SAS and Quest, find out which platforms came out on top for advanced analytics, machine-learning, data integration, and more.

  • Big Data Analytics: How to work smarter with data-driven insights

    Sponsored by: ComputerWeekly.com

    In this e-guide, learn about the state of adoption of data analytics in Australia, how Commonwealth Bank is making analytics tools more accessible to small companies and how SAS is prepping its marketers for the data flood.

  • Discovering the Business Value of Streaming Analytics

    Sponsored by: SAS

    If you're looking to take advantage of the massive value buried in IoT data, access this article to learn about streaming analytics, how it differs from traditional analytics, and how it translates into rich, real-time insights.

  • Analytics in Action: Tackling the Big Data Headache

    Sponsored by: SAS

    Find out how to take the big data challenge and turn it into a golden opportunity for your company with new approaches to data management and analytics. Learn about 5 steps to maximize the value of Hadoop and your data warehouse, 3 use cases for predictive analytics, and more.

  • Navigating the Complexity of Big Data Transformation

    Sponsored by: Rackspace

    Discover the latest big data trends uncovered in a Forrester Consulting study. Learn the top priorities of big data decision makers, the 4 top transformation challenges, 4 ways to overcome these challenges, and more.

  • Forbes Insights: Using Big Data to Elevate the Customer Experience

    Sponsored by: SAS

    This resource explains how you can implement big data analytics to improve your customer's experience. You'll learn how best to tackle data integration challenges and how to share information with customers in an effective manner.

  • 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.

  • 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.

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