Book Image

Hearing the Voice of the Customer

By : Bill Inmon
Book Image

Hearing the Voice of the Customer

By: Bill Inmon

Overview of this book

Customer is king and hearing the voice of the customers is crucial for all businesses. This book will teach you how to listen to the customer’s voice in a world of modern technology. The book begins by explaining the importance of the customer's voice for a successful business and how to listen to the customer's voice and analyze it through various technologies such as OCR and voice transcription. You will also learn extraction processes such as textual extraction, transformation, and Load (ETL) processing, and turn the customer feedback into visualization using four major technologies. Moving ahead, you will analyze raw text using Taxonomy and analyze the customer feedback in the form of comments and surveys using textual ETL. You will study strategically and tactically techniques used by the corporations to become aware of the customer’s voice, and visualize the data in bar charts, continuous variable charts, pie charts, geographical chart and scatter diagrams. By the end of this book, you will be able to manage, build, and operate a corporate infrastructure that listens to the voice of the customer.
Table of Contents (15 chapters)
Free Chapter
1
Introduction
14
13: Combinations
15
Index

Converting text into a database format

The next technological challenge in the hearing the voice of the customer is that of converting text into a standard database format. The conversion has long befuddled technicians. There are many facets to the conversion. The most difficult facet to the conversion of text to a database format is the fact that in order for text to be understood, text must be converted along with context.

The problem with context is that in most cases context exists entirely outside the words that are being spoken. In most cases the words themselves give no clue as to the context of their meaning. As text is being converted into a database, the text needs to have its context determined as well.

The process of converting text into a database is a complex process. There are many reasons for the complexity. But among the primary reasons is that there is no one way to determine the context of the text. Some of the techniques used to determine the context of text...