Book Image

TIBCO Spotfire: A Comprehensive Primer. - Second Edition

By : Andrew Berridge, Michael Phillips
Book Image

TIBCO Spotfire: A Comprehensive Primer. - Second Edition

By: Andrew Berridge, Michael Phillips

Overview of this book

The need for agile business intelligence (BI) is growing daily, and TIBCO Spotfire® combines self-service features with essential enterprise governance and scaling capabilities to provide best-practice analytics solutions. Spotfire is easy and intuitive to use and is a rewarding environment for all BI users and analytics developers. Starting with data and visualization concepts, this book takes you on a journey through increasingly advanced topics to help you work toward becoming a professional analytics solution provider. Examples of analyzing real-world data are used to illustrate how to work with Spotfire. Once you've covered the AI-driven recommendations engine, you'll move on to understanding Spotfire's rich suite of visualizations and when, why and how you should use each of them. In later chapters, you'll work with location analytics, advanced analytics using TIBCO Enterprise Runtime for R®, how to decide whether to use in-database or in-memory analytics, and how to work with streaming (live) data in Spotfire. You'll also explore key product integrations that significantly enhance Spotfire's capabilities.This book will enable you to exploit the advantages of the Spotfire serve topology and learn how to make practical use of scheduling and routing rules. By the end of this book, you will have learned how to build and use powerful analytics dashboards and applications, perform spatial analytics, and be able to administer your Spotfire environment efficiently
Table of Contents (18 chapters)
Free Chapter
1
Section 1: Introducing Spotfire
6
Section 2: Spotfire In Depth
12
Section 3: Databases, Scripting, and Scaling Spotfire

Treemaps

Treemaps are also under-utilized, in my opinion! They are extremely useful visualizations for navigating hierarchical data. This was already described in Chapter 2, It's All About the Data, but I'd like to expand on what was said there:

  • Good for visualizing: Hierarchical data. You can size each box in the treemap by a value in your data and navigate up and down the levels of the hierarchy interactively. They are great for collapsing large amounts of data into a single view. They are also great for setting up navigable hierarchies, so that users can sub-select parts of the data really easily.
  • Don't use for: Hierarchies with lots and lots of levels; you'll get confused. Hierarchies where the amount of data in some categories is really small compared to the others (you'll end up with lots of tiny boxes that you can't interpret).
  • Pros: The ability...