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Predictive Analytics Research

  • 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.

  • TIBCO Spotfire Server Overview

    Sponsored by: TIBCO Software Inc.

    With its role-based access permissions, TIBCO Spotfire incorporates data discovery, data wrangling, and predictive analytics into a cohesive platform. Learn how to leverage a variety of key resources and services that scale.

  • 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.

  • 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 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.

  • 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.

  • 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.

  • 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.

  • Big Data & Data Mining Team Up To Help Users Hone A Competitive Edge

    Sponsored by: SearchBusinessAnalytics

    Data science, predictive analytics and machine learning applications start with data collection and data mining tasks that set the stage for analysis. Learn how to manage your data mining tasks and data science applications to help ensure that your big data analytics program is in the corporate spotlight for all the right reasons.

  • Machine Learning: The New Proving Ground for Competitive Advantage

    Sponsored by: Google Cloud

    These survey results from MIT Technology Review Custom and Google Cloud reveal that businesses are hard at work developing ML strategies. Learn how ML strategists and representatives are investing, and where to get started.

  • Predicts 2017: Lead, Follow, or Get Out of the Way

    Sponsored by: Google Cloud

    In this report, Gartner made predictions for 2017 that swept the entire IT landscape. This report isn't just about various tech predictions, but predictive disruption, the uncertainty that comes with the constant resetting of expectations. See how CIOs should approach predicting the future of their organizations' technological landscape.

  • Identifying the IT Operations Analytics Product Your Enterprise Needs

    Sponsored by: Splunk

    IT operations analytics (ITOA) helps prevent your network from encountering problems. ITOA takes data from different sources and provides the insights you are looking for. Read this e-guide to learn how an ITOA works and how to find the right ITOA tool for your organization.

  • 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.

  • Avoid 3 Common Predictive Modeling Fails – and Their Consequences

    Sponsored by: TechTarget

    By taking our BI & Analytics survey, you'll gain access to our expert guide about 3 flaws crippling data science projects. Answer our curated questions to also discover which skills are needed for data science projects, strategies used by companies like Cisco to advance analytic skills, and more.

  • 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.

  • 10 Reasons Project Managers Need PPM

    Sponsored by: Innotas by Planview

    Many project managers may think they're fine settling for spreadsheets and basic project management software, viewing modern project portfolio management (PPM) as a daunting and excessively complex initiative. However, this white paper explores the benefits of PPM for project managers. Uncover 10 reasons why PPM is worth the investment.

  • 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.

  • Strategic Planning Tools for Contact Centers

    Sponsored by: Genesys

    This white paper explores how to leverage contact center strategic planning tools to predict performance more accurately and provide comprehensive what-if analysis capabilities. Discover how to get key answers to tough operational questions so that you can react to change faster and with more agility.

  • Drive Deeper Insights across Data with SQL Server 2016

    Sponsored by: Microsoft

    Explore how SQL Server 2016 can help drive deeper insights into big data from both relational and non-relational sources, in the cloud and on-premise. Discover how SQL Server 2016 helps you store data in more formats at scale, open up data access, provide predictive analytics, and share insights on-premise, via the web, and through mobile devices.

  • When Predictive Models Fail: Predictive Analytics Needs New Data Prep Approach

    Sponsored by: SearchDataManagement

    When it comes to building and running predictive analytics models, even many data scientists still have a lot to learn. What is the first critical step in ensuring that predictive analytics models yield valid outcomes? Find out inside.

  • HR Analytics Software Boosts Employee Retention, Lifts Bottom Line

    Sponsored by: SearchFinancialApplications

    Workforce analytics is very valuable to many companies. But there's more to using this software successfully than meets the eye. In this expert handbook, learn how workforce planning and analytics provides insight into hiring, training and retaining top performers, performance metrics, and connections between HR and corporate balance sheets.

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