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BI Software Research

  • Embrace Self-Service Data Preparation and Analytics Tools to Avoid Data Chaos

    Sponsored by: Birst

    In this Gartner resource, discover the impact that the current trends in BI tools are going to have on the market, as well as some recommendations for how industry leaders can adapt to these changes. Inside, learn some best practices for fostering customer trust in your data, 4 categories of data preparation, and more.

  • Case Study: How Honda France Consolidated Their BI Platforms

    Sponsored by: Yellowfin

    This case study explains how Honda France found a web-based program that was hassle-free and allowed them to spend less time worrying about collecting analytics. Learn how they adopted a program which is accessible from mobile devices, merged seamlessly with their existing CRM platform, cut the cost of their existing BI capabilities, and more.

  • Report: Critical Capabilities for Business Intelligence and Analytics Platforms

    Sponsored by: Birst

    The analytics platform market has undergone a fundamental shift, indicating that IT-centric, reporting oriented platforms alone aren't enough to deliver a competitive edge. This Gartner report explores this and other emerging trends in BI platforms. Uncover 4 key findings about data discovery and get key recommendations for evaluating BI tools.

  • How SunnyD Converged Their Disparate BI Programs To Provide A Unified Self Service Platform

    Sponsored by: Birst

    Sunny Delight Beverages Co. needed to modernize their separate legacy BI applications in order to remedy their issues with data disparity. In this case study, discover how they successfully adopted an all-in-one platform with cross-functional visibility for their BI needs, which created a 2% sales increase, reduced shipping costs, and more.

  • Introducing Notebooks: A Powerful Tool for Data Scientists

    Sponsored by: IBM

    An environment in which data scientists can work collaboratively with multiple stakeholders, in rapid iterations, is key to meeting relentless business demands. Discover ways to help data teams lead the enterprise predictively and proactively.

  • 25 Ways Content Intelligence Boosts Data Management and Resolves Dark Data

    Sponsored by: Avnet & HDS

    This paper explores how to manage data more efficiently, including dark data, no matter where it is or what format it's in. Discover how a content intelligence platform with self-service capabilities can help you aggregate and integrate data, so you can leverage it to create actionable insights.

  • Cloud Resource Scheduling for Operational Workforce Planning

    Sponsored by: PDP-Software

    This paper explores the challenges of project management and how to resolve them with cloud resource scheduling tools for operational workforce planning. Discover how to improve control and insight into HR processes and resource planning, improve communication between resource managers and project team members, and more.

  • 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.

  • Big Data Analytics and Self-Service BI: What Should IT's Role Be?

    Sponsored by: Hewlett-Packard Enterprise

    Should you outsource big data analytics or leverage in-house talent on your IT staff? Similarly, how can you balance freedom for business users and IT oversight for self-service analytics? What should IT's role be? This two-part e-guide discusses different perspectives on IT's proper place when it comes to big data analytics and self-service BI.

  • 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.

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