Tapping into Unstructured Data: Integrating Unstructured Data and Textual Analytics into Business Intelligence Review

Average Reviews:

(More customer reviews)Are you looking to buy Tapping into Unstructured Data: Integrating Unstructured Data and Textual Analytics into Business Intelligence? Here is the right place to find the great deals. we can offer discounts of up to 90% on Tapping into Unstructured Data: Integrating Unstructured Data and Textual Analytics into Business Intelligence. Check out the link below:

>> Click Here to See Compare Prices and Get the Best Offers

Tapping into Unstructured Data: Integrating Unstructured Data and Textual Analytics into Business Intelligence ReviewWilliam Inman and Anthony Nesavich introduce the concepts of text analysis. They build on readers' familiarity with analysis of structured data from spreadsheets and databases. They describe how to transform text data into numbers and categories that can be analyzed with these traditional methods.
The book's chapters are of two types. The first fourteen chapters review the nature of business intelligence, discuss the challenges of analyzing structured and unstructured data, and lay out a general process for organizing and categorizing text data. Some sections are particularly good. Chapter 1, for example, suggests where useful unstructured data can be found in a typical organization. This is helpful guidance for an new analyst. Chapter 12 develops the framework of "A Methodology For Textual Analytics" that covers some of the key issues. This chapter contains most of the book's new information about text analysis.
The last five chapters present business intelligence case studies which used text analysis. The settings include conducting medical research, monitoring toxic chemicals, managing contract documents, creating a common corporate vocabulary, and imposing consistency on insurance claims.
The book has two weaknesses. First, it comes too slowly to its core material about text analysis. Early chapters review well-established business and data management practices to excess. There is far too much agonizing over whether to integrate unstructured data with structured data or analyze it separately. The second and more serious weakness is the abstract and almost cursory description of text analysis techniques. This is certainly not a technical tutorial. It is also not an adequate high-level description of the challenges and variations in such projects. It doesn't tell you how to fix the potholes or drive around them.
Read chapters 1 and 12 of this book for a quick overview of text analysis. Then try something with more depth, such as Svenja Adolphs' Introducing Electronic Text Analysis. For more detailed technical guidance, try Weis, Indurkhya and Zhang's Fundamentals of Predictive Text Mining.Tapping into Unstructured Data: Integrating Unstructured Data and Textual Analytics into Business Intelligence Overview

Want to learn more information about Tapping into Unstructured Data: Integrating Unstructured Data and Textual Analytics into Business Intelligence?

>> Click Here to See All Customer Reviews & Ratings Now