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

Scope of inference

The scope of inference refers to all the predicates to which a statement of sentiment applies. Consider the sentence seen in Fig 5.6.

In the sentence shown in Fig 5.6, the inference of the statement of sentiment is that there are three predicates: cookies, cake, and ice cream. The interjection of a connector is merely a way of showing the continuance of the string of predicates.

The role of the connector is quite different in the sentence shown in Fig 5.7.

Even though the sentences in Fig 5.6 and Fig 5.7 are very similar, the role of the connector is very different. In Fig 5.6, the connector is used as a continuance of the predicate. In Fig 5.7, the connector connects a declarative statement to a statement of sentiment.

It is the job of textual ETL to read the sentences, make sense of them, and then to translate the sentences into the form of a database.