How Libraries Should Manage Data

Practical Guidance On How With Minimum Resources to Get the Best From Your Data

Nonfiction, Reference & Language, Language Arts, Library & Information Services, Reference
Cover of the book How Libraries Should Manage Data by Brian Cox, Elsevier Science
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
Author: Brian Cox ISBN: 9780081006719
Publisher: Elsevier Science Publication: September 4, 2015
Imprint: Chandos Publishing Language: English
Author: Brian Cox
ISBN: 9780081006719
Publisher: Elsevier Science
Publication: September 4, 2015
Imprint: Chandos Publishing
Language: English

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.

  • Recognize and overcome the social barriers to creating useful operational data
  • Understand the potential value and pitfalls of operational data
  • Learn how to structure your data to obtain useful information quickly and easily
  • Create your own desktop library cube with step-by-step instructions, including DAX formulas
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

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.

More books from Elsevier Science

Cover of the book Eco-Friendly Technology for Postharvest Produce Quality by Brian Cox
Cover of the book Principles of Financial Engineering by Brian Cox
Cover of the book Advances in Organometallic Chemistry by Brian Cox
Cover of the book The Molecular Basis of Drug Addiction by Brian Cox
Cover of the book Physiological and Clinical Aspects of Oxygenator Design by Brian Cox
Cover of the book Solar Power Generation by Brian Cox
Cover of the book Waste Electrical and Electronic Equipment (WEEE) Handbook by Brian Cox
Cover of the book Human Facial Expression by Brian Cox
Cover of the book Advances in Imaging and Electron Physics by Brian Cox
Cover of the book Organoids and Mini-Organs by Brian Cox
Cover of the book Advances in Clinical Chemistry by Brian Cox
Cover of the book How the Great Scientists Reasoned by Brian Cox
Cover of the book Consumer-Led Food Product Development by Brian Cox
Cover of the book High Resolution NMR by Brian Cox
Cover of the book Handbook of Economic Forecasting by Brian Cox
We use our own "cookies" and third party cookies to improve services and to see statistical information. By using this website, you agree to our Privacy Policy