How Libraries Should Manage Data
Practical Guidance On How With Minimum Resources to Get the Best From Your Data
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...
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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 businessintelligence.
Bibliographische Angaben
- Autor: Brian Cox
- Verlag: Chandos Publishing
- EAN: 9780081006634
Autoren-Porträt von Brian Cox
Brian Cox has been responsible for a number of activities within an academic library, ranging from managing research data collection, to facilitating strategic planning. During that time Brian developed a deep understanding of how libraries use data, and where they could improve. His work in this area culminated in the creation of the Library Cube, a breakthrough in measuring value that propelled the University of Wollongong Library into the international spotlight within the Library sector.
Inhaltsverzeichnis zu „How Libraries Should Manage Data “
Chapter 1 - Introduction Chapter 2 - Lifting the fog Chapter 3 - Step away from the spreadsheet - common errors in using spreadsheets, and their ramifications Chapter 4 - Starting from scratch Chapter 5 - Getting the most out of your raw data Chapter 6 - Stop, police! Chapter 7 - Pivot magic Chapter 8 - Moving beyond basic pivots Chapter 9 - How to create your own desktop library cube Chapter 10 - Beyond the ordinary
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