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  • Major Retailer Optimizes Supply Chain Management with Advanced Analytics

    Sponsored by: Vitria Technology, Inc.

    Find out how a major retailer used advanced analytics with targeted dashboards and data visualizations to integrate data from across disparate apps and gain deeper insight into and optimize each stage of the supply chain.

  • How to Plan Your SAP SuccessFactors HCM Suite Implementation

    Sponsored by: AltaFlux

    In this e-guide, SAP expert Luke Marson offers advice on how to plan your SuccessFactors implementation by taking a proactive view of your key pain points and integration needs for Employee Central, HRIS, ERP, and Workforce Analytics.

  • Case Study: How Urban Airship Landed an Embedded Data Platform With Powered by Looker

    Sponsored by: Looker

    How do some of the world's best-known brands grow with mobile while trying to manage and analyze a growing data pool? In this case study, learn how Urban Airship, a mobile marketing technology company, used Looker for their embedded data platform to achieve a higher view of their customers.

  • Artificial Intelligence and Machine Learning in data analytics and business applications

    Sponsored by: ComputerWeekly.com

    Artificial Intelligence and the sub-set of it which is machine learning are hot. It's been impossible to attend an IT conference in the last year or so without encountering a dead human genius reincarnated as a software system or a robot.

  • Vitria IoT Analytics Platform

    Sponsored by: Vitria Technology, Inc.

    Find out how to enable faster, predictive analytics that can process high volume streaming data and incorporates self-service tools for analysts and developers alike. Learn about a platform that puts your IoT data in context and creates critical real-time insights for better decision-making.

  • Machine learning technology, techniques add new analytics smarts

    Sponsored by: SearchBusinessAnalytics

    Companies are tapping machine learning technology and techniques to boost analytics capabilities. But these often require new analytics systems and can create data management challenges. In this expert handbook, learn how to make sure your organization's use of machine learning technology and techniques has a sharp focus on the business benefits.

  • Checklist for Cloud Infrastructure Management and Analysis

    Sponsored by: Flexera Software

    This white paper explores how to implement effective cloud management to prevent operational oversights and excessive costs. Learn about the key roles of data visualization, cost and usage analysis, configurable reporting, automatic data collection, and more.

  • The New Generation of Embedded BI Will Close the Insights-To-Action Gap

    Sponsored by: Qlik

    Business intelligence is most valuable when it's actionable. New embedded BI technology allows for greater insight-to-action. In this Forrester Research report, learn practical steps to embed BI in your company's enterprise applications.

  • Case Study Collection: 13 Stories of Embedded Analytics Success

    Sponsored by: Qlik

    Today, business applications play a vital role in decision-making for analysis-centric business users. Analytics in particular makes it possible to make fast, effective decisions. Inside this case study collection, uncover how 13 companies (AFAS Software, CallTech, and 11 more) benefitted from leveraging Qlik Analytics tools.

  • 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.

  • 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.

  • 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.

  • 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.

  • 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.

  • Riding the AI Analytics Wave: How Salesforce Einstein Measures Up

    Sponsored by: Salesforce.com

    In this expert e-guide, we explore how AI integration augments analytics apps. Discover AI's potential to open new doors for IoT and cloud strategies, and learn about how Salesforce's Einstein platform measures up.

  • 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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