exploring the it datascape what does our it data tell us about our users?
DESCRIPTION
Free printing caused a significant increase in volume across all locations 4,784 10,143 17,564 5,941 41,741 14,123TRANSCRIPT
Exploring the IT Datascape
What does our IT data tell us about our users?
Printing
Ainsworth Color Baxter Science Circulation IC0
10000
20000
30000
40000
50000
Fall 2013 Fall 2014 Fall 2015 (free printing)
Free printing caused a significant increase in volumeacross all locations
4,784
10,143
17,564
5,941
41,741
14,123
What does this tell us about our users?
Our users REALLY like free.In 13 days our students printed . . .
94,296 pages22 % of last year’s entire print volume315 % of the fall 2014 exam print volume
And . . . They were less discriminating about what they sent to the color printer (based on observation and amount of toner used)
Fall 2014 Fall 2015 Increase
AinsworthCommons 2,927 4,784 63%
Circulation 7,642 17,564 129%
InformationCommons 13,919 41,741 199%
ColorPrinter 1,095 5,941 442%
ScienceLibrary 2,584 14,123 446%
Baxter Room 1,679 10,143 504%
Print volume increased at every location
Day 1
Day 2
Day 3
Day 4
Day 5
Day 6
Day 7
Day 8
Day 9
Day 10
Day 11
Day 12
Day 13
0
750
1500
2250
3000
2014 2015
Baxter Room Print Volume Increased 504%
Free printing changed users’ print location preferences from the last fall exam period.
Two locations were unexpectedly popular: Science Library and Baxter Room.
A previously popular print location became much less popular.
What ELSE does this tell us about our users?
Fall 2014 Fall 2015Information Commons
Information Commons
Circulation Circulation
Ainsworth Commons
Science Library
Science Library Baxter Room
Baxter Room Color Printer
Color Printer Ainsworth Commons
rethink the type of furniture we have in the room
add more seating in this room
add more computers in this room
omit color from future free printing initiatives
What can we do about it?
The Baxter Room unexpectedly saw the greatest increase inprint volume over the previous exam period. As we monitored the printing situation, we also noticed significantly more people in this location.
We may need to . . .
Scanning
0
1250
2500
3750
5000
Number of pages Scanned Number of Photocopies
In 2013 users preferred scanning over copying
0
5000
10000
15000
20000
Number of pages Scanned Number of Photocopies
2014 Scanning and Photocopy Comparison
0
2250
4500
6750
9000
Number of pages Scanned Number of Photocopies
2015 Scanning and Photocopy Comparison
USB Email Google Drive
Print Smart Device
Dropbox0
20000
40000
60000
80000
Number of Pages Scanned
Scan Destination
In this location our users immediately preferred scanning to printing.
In this location our users continue to prefer scanning to printing.
Our users are not using Google Drive and Dropbox nearly as much as we thought they were.
Our users were not nearly as impressed with the option to scan to a smart device as we were.
What does this tell us about our users?
What can we do about it?
When our photocopier contract is up for renewal, there areplans to reduce the number of photocopiers in the building.
We will soon be adding another scan station.
Wireless Network
WirelessEnvironmentDuring 2012Final Exams
19 wireless access point18,794 students
1,200 connected users(6 % of the student body)
Second Floor, West Side
2013 Wireless Deployment
Janua
ry
Febru
ary
Mar
chApr
ilM
ayJu
ne July
Augus
t
Sept
e...
Octobe
r
Nove..
.
Dece..
.0
6000
12000
18000
24000
30000Number of Unique Clients Number of Unique Users
Number of Unique Wireless Clients and Wireless Users
Samsung Hon Hai Precision
Murata Liteon Intel Apple0
3000
6000
9000
12000
365 405 411 464 909
11,971
Top wireless clients by manufacturer
During our busiest month, October, 72% of the campus population connected to the library’s wireless network.
Users are bringing multiple devices - around 1.5 devices per user.
Our users are big fans of Apple products.
What does this tell us about our users?
What can we do about it?
The library’s wireless network received a major upgrade.
We have started adding more Macs in our public areas.
Generate heat maps showing the number of users attachedto each access point. This will help us better analyze highuse locations.
Take a look at the data in your not-so-glamorous systems
Look for interesting blips and trends
Figure out (and document) the reasons for the blips
Make sure a trend is really a trend before you act on it
Look for campus partners who may be able to share data
SUMMARY
