How Libraries Should Manage Data
Practical Guidance On How With Minimum Resources to Get the Best From Your Data
- Publisher's listprice EUR 56.95
-
24 158 Ft (23 007 Ft + 5% VAT)
The price is estimated because at the time of ordering we do not know what conversion rates will apply to HUF / product currency when the book arrives. In case HUF is weaker, the price increases slightly, in case HUF is stronger, the price goes lower slightly.
- Discount 10% (cc. 2 416 Ft off)
- Discounted price 21 742 Ft (20 706 Ft + 5% VAT)
24 158 Ft
Availability
printed on demand
Why don't you give exact delivery time?
Delivery time is estimated on our previous experiences. We give estimations only, because we order from outside Hungary, and the delivery time mainly depends on how quickly the publisher supplies the book. Faster or slower deliveries both happen, but we do our best to supply as quickly as possible.
Product details:
- Publisher Chandos Publishing
- Date of Publication 17 September 2015
- ISBN 9780081006634
- Binding Paperback
- No. of pages150 pages
- Size 228x152 mm
- Weight 180 g
- Language English 0
Categories
Long 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.
MoreTable of 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
