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BI Software Research

  • In-Memory Analytics Versus Disk-Based OLAP Analytics

    Sponsored by: Pyramid Analytics

    In this white paper learn the benefits of combining disk-based OLAP analytics with an in-memory system to deliver a scalable BI program free of data silos. Inside discover the pros and cons of each platform, some key things to consider before adopting any BI software, and some user success stories of both OLAP and in-memory systems.

  • SAP Business Objects Cloud for Analytics Overview and Demo

    Sponsored by: SAP

    Discover ways to streamline data analysis with SaaS tools designed to help you identify risks and opportunities in a clearly visualized format. Learn more by watching the following demo.

  • CW ANZ September 2016

    Sponsored by: TechTarget ANZ

    Few organisations invest heavily in IT to make sure their clients use less of their product, but that's the battle Australia's National Blood Authority (NBA) is fighting – and winning.

  • How Automated Business Analytics Helped The Children's Cancer Institute Improve Survival Rates

    Sponsored by: Yellowfin

    This case study explores how an automated BI platform helped The Children's Cancer Institute to deliver and implement insights in a matter of hours rather than weeks. Find out how they were able to empower both researchers and business users to quickly analyze, share, and act on a unified view of their data with deeper and more consistent insights.

  • Going big: why companies need to focus on operational analytics

    Sponsored by: ComputerWeekly.com

    This report from Capgemini Consulting shows how the search for competitive advantage has driven organisations to shift the focus of their analytical efforts to back office operations

  • Preparing Your Data Architecture for Big Data Analytics

    Sponsored by: Hewlett-Packard Enterprise

    While big data can provide actionable insights to drive business value, your enterprise can't experience those benefits without the right data architecture in place first. In this e-guide, analytics expert Lyndsay Wise reveals the 4 crucial factors to keep in mind before embarking on a big data project.

  • How to Select the Right BI Analytics Tool

    Sponsored by: NEC Corporation of America

    This expert e-guide will help you to decide which type of BI analytics platform is right for you, and the best way you can implement it. Find out if your business is in need of a large program, or if a newer, smaller platform is best. Then learn how to compile a checklist of the capabilities your new analytics program must have.

  • Prosthetics Supplier Boosts Visibility into Sales Performance

    Sponsored by: IBM

    This expert e-guide reveals how a prosthetics supplier provided their sales reps with up-to-the-minute updates on their quotas and goals, empowering them to boost their performance. Discover how you can improve visibility and react to trends as they happen.

  • How to Unlock Big Data's True Potential

    Sponsored by: IBM

    When it comes to big data, it can be difficult to combine data from disparate sources into a meaningful and valuable picture. Discover a business intelligence platform that can allow you to integrate data from heterogeneous sources, augment the data warehouse with Hadoop data services, leverage real-time analytics, and more.

  • Five Steps to Maximizing the Value of Hadoop

    Sponsored by: SAS

    Many organizations are struggling to implement Hadoop. This resource describes the 5 critical steps to maximize the value of Hadoop before embarking on a big data project.

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