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Full Description
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.
Contents
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
