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- Description
- Table of Contents
- About the authors
- Reviews
The past two decades have seen an explosion both in the volume of data we use, and our understanding of its management.
However, while techniques and technology for manipulating data have advanced rapidly in this time, the concepts around the value of our data have not. This lack of progress has made it increasingly difficult for organizations to understand the value in their data, the value of their data and how exploit that value.
Halo Data proposes a paradigm shift in methodology for organizations to properly appreciate and leverage the value of their data. Written by an author team with many years' experience in data strategy, management and technology, the book will first review the current state of our understanding of data. This opening will demonstrate the limitations of this status quo, including a discussion on metadata and its limitations, data mining, data enrichment and Big Data. Following this, the book will present a new concept and framework for understanding and quantifying value in an organization's data and a practical methodology for using this in practice.
Ideal for data leaders and executives who are looking to leverage the data at their fingertips.
Introduction
1 Who owns the definitions and terms about data?
2 What is metadata?
3 Other ideas of data value and monetization
4 Value from a different source
5 Hello Halo Data
6 Getting to know Halo Data
7 Early examples of Halo data approaches
8 Halo data and data ethics
9 Halo data framework
10 Halo Data applied risk assessment, regulation, customer, the citizen
11 Halo Data and storytelling
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"This work can be a worthwhile and thought-provoking read for anyone interested in this subject, whether or not data are a direct part of their work or academic pursuits. Included are many black-and-white tables and diagrams and a brief, though highly subdivided, index."
— Choice