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How Libraries Should Manage Data - by  Brian Cox (Paperback) - 1 of 1

How Libraries Should Manage Data - by Brian Cox (Paperback)

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About this item

Highlights

  • Have you ever looked at your Library's key performance indicators and said to yourself "so what!
  • Author(s): Brian Cox
  • 150 Pages
  • Social Science, General

Description



About the Book



"Have you ever looked at your Library's key performance indicators and said to yourself "so what!"? Have you found yourself making decisions in a void due to the lack of useful and easily accessible operational data? Have you ever worried that you are being left behind with the emergence of data analytics? Do you feel there are important stories in your operational data that need to be told, but you have no idea how to find these stories? If you answered yes to any of these questions, then this book is for you. How Libraries Should Manage Data provides detailed instructions on how to transform your operational data from a fog of disconnected, unreliable, and inaccessible information - into an exemplar of best practice data management. Like the human brain, most people are only using a very small fraction of the true potential of Excel. Learn how to tap into a greater proportion of Excel's hidden power, and in the process transform your operational data into actionable business intelligence."--Publisher.



Book Synopsis



Have you ever looked at your Library's key performance indicators and said to yourself "so what!"? Have you found yourself making decisions in a void due to the lack of useful and easily accessible operational data? Have you ever worried that you are being left behind with the emergence of data analytics? Do you feel there are important stories in your operational data that need to be told, but you have no idea how to find these stories? If you answered yes to any of these questions, then this book is for you. How Libraries Should Manage Data provides detailed instructions on how to transform your operational data from a fog of disconnected, unreliable, and inaccessible information - into an exemplar of best practice data management. Like the human brain, most people are only using a very small fraction of the true potential of Excel. Learn how to tap into a greater proportion of Excel's hidden power, and in the process transform your operational data into actionable business intelligence.

Dimensions (Overall): 8.9 Inches (H) x 5.9 Inches (W) x .4 Inches (D)
Weight: .55 Pounds
Suggested Age: 22 Years and Up
Number of Pages: 150
Genre: Social Science
Sub-Genre: General
Publisher: Chandos Publishing
Format: Paperback
Author: Brian Cox
Language: English
Street Date: September 22, 2015
TCIN: 1009183808
UPC: 9780081006634
Item Number (DPCI): 247-18-4158
Origin: Made in the USA or Imported
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Shipping details

Estimated ship dimensions: 0.4 inches length x 5.9 inches width x 8.9 inches height
Estimated ship weight: 0.55 pounds
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Q: What topics are covered in the book?

submitted by AI Shopping Assistant - 1 month ago
  • A: Topics include key performance indicators, data accessibility, and best practices in data management.

    submitted byAI Shopping Assistant - 1 month ago
    Ai generated

Q: What skills does the book aim to enhance?

submitted by AI Shopping Assistant - 1 month ago
  • A: It aims to enhance skills in data management and utilizing Excel for better data insights.

    submitted byAI Shopping Assistant - 1 month ago
    Ai generated

Q: What format is the book available in?

submitted by AI Shopping Assistant - 1 month ago
  • A: The book is available in paperback format, consisting of 150 pages.

    submitted byAI Shopping Assistant - 1 month ago
    Ai generated

Q: Who is the target audience for this book?

submitted by AI Shopping Assistant - 1 month ago
  • A: The book is aimed at library professionals and anyone involved in data management within libraries.

    submitted byAI Shopping Assistant - 1 month ago
    Ai generated

Q: What is the main focus of the book?

submitted by AI Shopping Assistant - 1 month ago
  • A: The book focuses on transforming operational data into actionable insights for library management.

    submitted byAI Shopping Assistant - 1 month ago
    Ai generated

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