Amazon cover image
Image from Amazon.com

How to talk to data scientists : a guide for executives / Jeremy Elser, PhD.

By: Material type: TextTextSeries: Collaborative intelligence collectionPublisher: New York, New York (222 East 46th Street, New York, NY 10017) : Business Expert Press, [(c)2021.]Edition: First editionDescription: 1 online resource (116 pages) : illustrationsContent type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9781637420980
Subject(s): Genre/Form: Additional physical formats: Print version:: No titleLOC classification:
  • HD57.7
Online resources: Available additional physical forms:
Contents:
Chapter 1. Introduction -- Chapter 2. What is data science -- Chapter 3. The master table -- Chapter 4. Mistakes machines make -- Chapter 5. Mistakes business analysts make -- Chapter 6. Mistakes data scientists make -- Chapter 7. How to properly deploy data science -- Chapter 8. Playbook.
Abstract: Every major company has or will soon have a data science program. Most fail, expensively, imperiling their executive sponsors. Unfortunately, executives have been misled to focus on the latest buzzwords. Although buzzwords change-- big data, data science, machine learning, deep learning, and artificial intelligence -the distraction from fundamentals manifests as a predictable trajectory from exuberant program launch, to stagnation, to awkward decommissioning. After architecting data science programs at over a dozen companies, across sectors and scales, Dr. Elser has formulated a reliable framework for successful data science programs. Surprisingly, software and algorithms are secondary. Rather, the key is understanding how the available data aligns to the problem to be solved. The business executive understands the problem sufficiently to enforce this alignment, while data scientists act on it. But executives tend to underestimate their role and thereby fail to construct the necessary connective tissue with their data scientists. This book provides business executives with a concrete exercise, populating a "Master Table," accessible to nontechnical managers and data scientists, which serves as the connective tissue between them. Rather than teach a diluted version of data science, this book describes how to start projects and how to detect and fix problems--the moments when leadership is critical. Insights are provided through real world examples, including a Playbook featuring common projects. The intended audience is executives (C-suite through VP). However, ambitious mid-level managers and data scientists will also benefit.
Tags from this library: No tags from this library for this title. Log in to add tags.
Star ratings
    Average rating: 0.0 (0 votes)
Holdings
Item type Current library Collection Call number URL Status Date due Barcode
Online Book (LOGIN USING YOUR MY CIU LOGIN AND PASSWORD) Online Book (LOGIN USING YOUR MY CIU LOGIN AND PASSWORD) G. Allen Fleece Library ONLINE HD57.7 (Browse shelf(Opens below)) Link to resource Available BEP9781637420980
Online Book (LOGIN USING YOUR MY CIU LOGIN AND PASSWORD) Online Book (LOGIN USING YOUR MY CIU LOGIN AND PASSWORD) G. Allen Fleece Library Non-fiction HD57.7 (Browse shelf(Opens below)) Link to resource Available 9781637420980

Chapter 1. Introduction -- Chapter 2. What is data science -- Chapter 3. The master table -- Chapter 4. Mistakes machines make -- Chapter 5. Mistakes business analysts make -- Chapter 6. Mistakes data scientists make -- Chapter 7. How to properly deploy data science -- Chapter 8. Playbook.

Access restricted to authorized users and institutions.

Every major company has or will soon have a data science program. Most fail, expensively, imperiling their executive sponsors. Unfortunately, executives have been misled to focus on the latest buzzwords. Although buzzwords change-- big data, data science, machine learning, deep learning, and artificial intelligence -the distraction from fundamentals manifests as a predictable trajectory from exuberant program launch, to stagnation, to awkward decommissioning. After architecting data science programs at over a dozen companies, across sectors and scales, Dr. Elser has formulated a reliable framework for successful data science programs. Surprisingly, software and algorithms are secondary. Rather, the key is understanding how the available data aligns to the problem to be solved. The business executive understands the problem sufficiently to enforce this alignment, while data scientists act on it. But executives tend to underestimate their role and thereby fail to construct the necessary connective tissue with their data scientists. This book provides business executives with a concrete exercise, populating a "Master Table," accessible to nontechnical managers and data scientists, which serves as the connective tissue between them. Rather than teach a diluted version of data science, this book describes how to start projects and how to detect and fix problems--the moments when leadership is critical. Insights are provided through real world examples, including a Playbook featuring common projects. The intended audience is executives (C-suite through VP). However, ambitious mid-level managers and data scientists will also benefit.

COPYRIGHT NOT covered - Click this link to request copyright permission:

https://lib.ciu.edu/copyright-request-form

Mode of access: World Wide Web.

System requirements: Adobe Acrobat reader.

Description based on PDF viewed 07/20/2021.

There are no comments on this title.

to post a comment.