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  • Accelerated Data Blending and Analytics for Microsoft Power BI with Alteryx

    Sponsored by: Alteryx

    Any good visual analysis starts with utilizing the right data but most analysts, spend too much time preparing data or relying on others to do it for them—and not enough time on visualizing the data to discover critical business insights. Learn how analysts can use Alteryx to blend data for Microsoft Power BI.

  • BI, Analytics, and the Cloud: Strategies for Business Agility

    Sponsored by: SAP

    This TDWI best practices report explores the current state of BI, analytics, and data management in the cloud. Uncover 12 best practices for cloud analytics, and learn about the top considerations for moving data management to the cloud.

  • How to Get Deeper Insights into your Marketing Campaigns

    Sponsored by: Looker

    How can you centralize your campaign data so everyone can see how everything is performing? Learn how you can avoid relying on disparate data sources – enabling you to get insights that help track important marketing KPIs, attribute marketing campaigns directly to revenue, and more.

  • VIA IoT Analytics Platform Tech Brief

    Sponsored by: Vitria Technology, Inc.

    Learn about the VIA IoT Analytics Platform, a unified platform that focuses on accelerating time-to-value for IoT initiatives. Find out how to move forward confidently with IoT projects, and discover how you can speed up analytics for IoT data, enable data-driven, self-service IoT app development, and more.

  • The State of Self-Service Data Preparation and Analysis Using Spreadsheets

    Sponsored by: Alteryx

    Self-service data preparation has been going on for many years in spreadsheet software and continues today. Unfortunately, stand-alone spreadsheets never solved the problems of preparing data for analytics. Learn how a new breed of self-service data preparation software can put the power of data integration back into the hands of your business.

  • Big Data, Analytics & AI in Supply Chain Management

    Sponsored by: CorpU

    Discover best practices for using big data, AI, and machine learning to drive the future of intra-company supply chain management (SCM) and leadership.

  • Enterprise Analytics and Machine Learning

    Sponsored by: IBM

    How can machine learning put your enterprise data to work in analytics? In this resource center, learn how to enact machine learning for your enterprise data, how to extract maximum insights from your data, and uncover how IBM can help organizations harness their enterprise data via deep learning.

  • 15-Vendor BI Comparison Report

    Sponsored by: Looker

    According to Forrester Research, insights-driven businesses will take $1.8 trillion from their competitors that are still running their companies by data rather than by insights. But it's not your old-school BI landscape anymore. Explore this evaluation of 15 major enterprise BI platforms to uncover how they measure up.

  • Planning for Digital Transformation with a Converged Data Platform

    Sponsored by: MapR

    Discover how to keep up with the progression of big data use cases by implementing a converged data platform that leverages the power of Hadoop, Spark, and Apache Drill.

  • New wave BI and analytics: turning modern data stores to account

    Sponsored by: ComputerWeekly.com

    This e-guide looks at how companies and other organisations are doing BI and analytics on the newer data stores.

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