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Predictive Analytics Software White Papers

  • Predicting Customer Satisfaction Helps Prioritize Interactions and Prevent Churn

    Sponsored by: Zendesk

    Although customer service centers have different levels of maturity when it comes to integrating new channels, they all need to track and improve customer satisfaction. But it's difficult to use the proper metrics in order to improve operations. Learn how Zendesk is using machine learning to predict customer satisfaction.

  • Supply Chain Management & IoT: Just Another Evolution?

    Sponsored by: Vitria Technology, Inc.

    How are big data and IoT impacting supply chain management and ERP? Find out how to harness the power of these two trends to optimize supply chains with data lakes, real-time streaming analytics, predictive insights, and more.

  • 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.

  • Architecting A Platform For Big Data Analytics

    Sponsored by: IBM

    Companies are trying to offer improved personalization to retain customers, and analyzing customer data using predictive analytics is the key. But insights produced by analyzing transactional activity are no longer enough. Learn about new data and technical requirements companies need to identify, process, and analyze data successfully.

  • 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.

  • The InsideBIGDATA Guide to Predictive Analytics

    Sponsored by: TIBCO Software Inc.

    Access the following white paper to learn about how to adopt a predictive analytics tool that meets the needs of different users and skill sets.

  • 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.

  • 3 Use Cases for Interactive Data Discovery and Predictive Analytics

    Sponsored by: SAS

    Explore how interactive data discovery and predictive analytics mitigate everyday data problems by allowing you to identify important trends and relationships in data sets. This also allows users to collaborate with specialists to create and select the best predictive models. Here are 3 use cases that show you how.

  • Manage your big data analytics options

    Sponsored by: TechTarget

    With so many choices available, selecting the right big data analytics tool has become a serious challenge. Access our exclusive guide for key features and functions you should use to evaluate the tools on the market and choose one that fits perfectly with your company.

  • BI Office: Extending Your Team's Analytic Power

    Sponsored by: Pyramid Analytics

    Advanced analytics can transform how organizations operate – they can help employees make decisions with data and insight previously untapped. But even those organizations seeking to be data driven have few employees making use of such sophisticated techniques. Learn about extending your team's analytic power using BI Office.

  • Predict Customer Behavior With the Power of Big Data

    Sponsored by: [24]7

    How do you delve down into data to discern customer behavior patterns and discover what content will provide focused and personalized experiences? Explore how to leverage big data and predictive analytics to turn customer data into critical opportunities in order to enhance decision-making and architect a truly unique, positive customer journey.

  • HR Group: Delivering Instant Sales and Stock Analytics with SAP HANA

    Sponsored by: IBM

    By migrating SAP HANA, HR Group accelerated key analytics processes, delivering near-instant insight into market trends. Access this case study to learn more about how HR Group realized 60% faster business processes with half the processor cores.

  • Building Better Business Analytics to Improve BI

    Sponsored by: Pyramid Analytics

    Many organizations struggle with inefficient, overly complex business intelligence processes that leave them with fragmented data and incomplete information. Learn about a business intelligence platform that empowers users outside of IT to dive into data with the security of a governed analytics environment.

  • How BI Technology Can Make Analytics Available To All Levels of Business

    Sponsored by: Pyramid Analytics

    In this white paper learn about BI software that puts analytics back in the hands of the users. Discover how you can easily conduct advanced analytics like predictive modeling and time-series analysis, enable email alerts when important changes are made to your data, build your own custom models alongside IT curated ones, and more.

  • Embedded Analytics: The Future of Business Intelligence

    Sponsored by: Looker

    This resource from the Eckerson Group explores the possibilities of embedding analytics to your primary applications as a means to blend self-service and predictive analytical platforms. Learn about the benefits of building or buying your BI program, how you can monetize your data, and more.

  • Step-By-Step CRM Data Analytics for Sales Teams

    Sponsored by: Infor

    Metrics aren't answers; they are prompts for questions that probe statistics for deeper insight. Discover the simplest way to find the actionable insights hidden in your data analytics. Learn best practices and considerations for using metrics in analytics and see how to turn them into powerful tools.

  • 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.

  • The Many Faces of Predictive Analytics: From IoT to Storytelling

    Sponsored by: OpenText

    Predictive analytics takes many forms, and allows you to make the most effective decisions for your enterprise. In this expert guide, uncover the many faces of predictive analytics. Discover why to use data visualization to craft a story, how real-time analytics and IoT go hand-in-hand, and the how predictive analytics has affected the enterprise.

  • Learn How 16 Predictive Analytics Platforms Stack-Up Against One Another

    Sponsored by: Microsoft

    This Gartner research report rates 16 predictive analytics BI service providers on their ability to scale and manage high-volume data models. Inside, discover the individual strengths and weaknesses of these programs, and some best practices for implementing them into your business.

  • Machine Learning Delivers Better IT Insights

    Sponsored by: Nimble Storage

    Machine learning and advanced analytics bring many advantages to modern, self-monitoring IT. Discover ways to combine the vertical, horizontal, and correlated analytics views needed to understand the status of your apps and the infrastructure that supports them.

  • Visualizing the Future of Big Data and Predictive Analytics

    Sponsored by: SearchDataManagement

    Explore how predictive analytics and data visualization can help you make sense of your analytics, how a security expert/cryptographer is using big data analytics and the cloud to make open source code safe for app developers and off-limits to hackers, and more.

  • Avoid unexpected downtime with Predictive Maintenance Analytics

    Sponsored by: Hewlett-Packard Enterprise

    Real-time monitoring of sensor data combined with all other external data sources enables you to proactively make decisions to keep people and processes moving forward. Learn how to monitor, maintain, and optimize assets with predictive analytics.

  • Leveraging Predictive Analytics to Foresee Future Purchasing Behaviors

    Sponsored by: Intel Corporation

    This Hadoop-big data case study explores how a major supplier of household electronic appliances strategically approached their big data and predictive analytics needs. Find out how they created secure predictive models to answer critical business questions about buyer behavior so that they could identify the likelihood of future purchases.

  • Optimize Supply Chain Management with an In-Memory Data Platform

    Sponsored by: Intel Corporation

    Legacy supply chains can suffer from issues like data latency, data fragmentation, and a lack of scalability, which can hold businesses back in an increasingly fast-paced, data-driven world. Find out how to empower supply chain management teams with agility, real-time business intelligence, and predictive analytics capabilities.

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