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Predictive Analytics Software Research

  • How to Fix your Maintenance Program

    Sponsored by: Infor

    Predictive practices offer a more strategic asset management system. Learn why assessing the maturity of your assets can lead to a more comprehensive, enterprise-wide maintenance program, with 5 steps to help you get started.

  • How to Get ALM Data Ready with Predictive Analytics

    Sponsored by: Hewlett-Packard Enterprise

    Find out how you can leverage predictive analytics to create "predictive development" best practices by approaching ALM as a big data repository. You'll discover how to boost data management for software requirements, testing, and every other step of the development lifecycle.

  • Qlik for Retail Margin Erosion: Waste Less through Data Discovery

    Sponsored by: Qlik

    Learn how Qlik's Margin Erosion app can help retailers make faster and more informed decisions to eliminate product waste. Its capabilities allow you to analyze large volumes of POS data across all stores, isolate regular markdown patterns in individual products and categories, and more.

  • Enhance Forecast, Sales, and Pipeline Management

    Sponsored by: Qlik

    This brief resource looks at Qlik's tool for boosting forecast accuracy, reporting, and analytics for workflow-based, mission-critical apps. Discover how you can integrate data from sales, marketing, and finance systems for creating enhanced data visualizations and maintaining a healthy pipeline.

  • How to Expedite Portfolio Analysis

    Sponsored by: Innotas

    Traditional project portfolio planning is both labor and time intensive. Access this data sheet to learn about predictive portfolio analysis and how it can help expedite processes that are usually done by hand. Learn about the top challenges facing portfolio planning.

  • 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.

  • The Internet of Things: Marketing's Opportunities and Challenges

    Sponsored by: SAS

    Learn about a software which provides the framework for you to implement IoT event-based marketing in this white paper. Find out how you can combine real-time predictive analytics with a rules engine to address business factors like marketing considerations and contact policies by clicking inside.

  • Taking The First Step To Building A Customer Analytics Program

    Sponsored by: SAS

    In this whitepaper, discover some best practices to help your marketing department become more analytically driven and create a closer bond with your customers. Inside, learn ways to put relevant data to work for you, employ visual analytics to quickly explore data sets, learn your customer's behaviors with predictive analytics, and more.

  • 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.

  • Analytics Reimagined for Today's Digital Enterprise

    Sponsored by: SAP

    Discover technology built on the SAP HANA platform that combines analytics capabilities you need to make essential decisions. Access this resource and find out how to empower users to find new insights and take action with predictive analytics, data visualization, and more.

  • 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.

  • 7 Leading Companies that Transformed their Business with Analytics

    Sponsored by: Birst

    This paper examines how 7 companies transformed their businesses by leveraging advanced analytics. Discover new ways to integrate data and drive innovation by managing large volumes, even for big data and IoT.

  • Edenred Singapore Bridges Gap Between Technology and Business With Proactive Operations Monitoring

    Sponsored by: Splunk

    Explore how Edenred, a prepaid corporate services company, leveraged proactive operations monitoring in their Singapore office to simplify troubleshooting of more than 120 applications, optimize customer experience with instant rectification of online transaction errors, increase end-to-end visibility into business processes, and more.

  • Add Data-Driven Clarity to Hiring Decisions

    Sponsored by: Infor

    Behavioral modeling and predictive analytics can help HR pros improve their quality of hire in order to build and retain a more able workforce. Discover ways it can add data-driven clarity to hiring decisions when applied to HR processes.

  • 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.

  • MTS Allstream Leverages Advanced Analytics to Reduce Fraud by 200%

    Sponsored by: Infogix

    This case study explores how MTS Allstream resolved the disconnect between the information they were storing and their ability to analyze this data. Access now to learn more about the enterprise-grade analytics platform they leveraged to revolutionize fraud management.

  • Case Study: Enhancing Accuracy of Front-to-Back Office Information Flow

    Sponsored by: Infogix

    Société Générale, a leading European financial services institution, decided to adopt a process-centric approach to ensure the integrity of transactions end-to-end. This case study explains how they identified critical information exchanges between apps and assessed corresponding risk by embracing automated analytics.

  • 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.

  • 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.

  • How to Use Predictive Analytics & Big Data to Hire the Right People

    Sponsored by: Intel Corporation

    By successfully utilizing big data and predictive analytics, you can fit the right person to the right job. Watch this 2 minute video to see an example of how big data and predictive analytics are being used to streamline the teacher-hiring process and ensure that the right teachers go to the right schools.

  • 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.

  • How to Build a Predictive Analytics Model

    Sponsored by: IBM

    By focusing on a few strategic imperatives, organizations can transform their cultures and outpace their competitors. Uncover this resource to learn about the four pillars of predictive analytics, and how each one creates a smarter business.

  • Data Science is a Team Sport -- Do you Have the Skills to be a Team Player?

    Sponsored by: IBM

    How do raw metrics and records become information that drives business results? Explore ways to equip data scientists, engineers, and more with the skills they need to make actionable, valuable insights.

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