Libraries and Learning ServicesTe Tumu Herenga

Beyond the numbers: Creating actionable data using Alma Analytics dashboard

Aleksandra PetrovicIT Product Owner

ANZREG 2019 ConferenceGold Coast, 23-24 October

Changing Era in Libraries

Collection Variety

Adjusting Budget

Use of Spaces

New Trends

Changes in Behavior

Collections 2018-2020

Refocus LLS collection management towards digital collections and discoverability

Refocus access to our collections so that current and high-demand material is easily accessible online and on-campus

Create a high quality on-campus experience focusing on fewer points of presence, with a more consistent and modern customer experience

Data Driven Decisions

WISDOM

KNOWLEDGE

INFORMATION

DATA

Questions to AnswerWhich titles are old and not recently used?

How much potential duplication is in our collections?

Which titles are “at-risk”?

How much of our collections have zero or low recorded uses?

How We Did It in The Past?

CREATING REPORTS

DATA CLEANING

ANALYSINGREPORTS

Power-Audience Matrix

Dashboard & Reports

Reports

Dashboard

Dashboard

KEEP SATISFIED

MONITOR

MANAGE CLOSELY

KEEP INFORMED

LEVEL OF INTERESTLE

VEL

OF

INFL

UEN

CE

Low HighLo

wHi

gh

Why Alma Analytics?

CONTINUOUS IMPROVEMENT

ALL DATA UP TO DATE

AVOIDING DATA EXPORT

COST AND TIME

Challenges and Solutions

LC SUBJECT REPRESENTATION

HISTORICAL USAGE

YEAR OF PUBLICATION

EMBEDDED REPORT

MULTI-VOLUME WORK

EXPORTING ISSUE

SIZE RESTRICTION

BETTER FORMATTING

Challenges and Solutions

Overview – By Subject

Overview – By Subject Graph

Overview –By Subject Table

Overview – By Publication Year

Overview – By Publication Year

Overview – Possible Duplicates

Overview – Sample Weeding

Overview – Preservation

Collection Measure – Quick Stats

MONOGRAPHS COUNT

ZERO USES

LOW USES

MEDIUM USES

OVER 10 YEARS OLD

120,000

54%

POSSIBLE DUPLICATES

43,160

1%

2% 38%

42%

58%77%

81%

1%

4.5%

FINE ARTS LIBRARY

EDUCATION LIBRARY

Publication Year Possible Duplicates

Historical UsageAlma Usage

Accession Year

Weeding Methodology Parameters

Weeding Methodology Types

Soft Methodology

Medium Methodology

Hard Methodology

Retain

Relegate

Intervention

Overview Scenarios

Possible Improvements

Possible Duplicates

Better Organisation

Data Cleanup

P to E MappingWeighted Indexes

Future

“Data is a precious thing and will last longer than the systems themselves.” Sir Timothy John Berners-Lee inventor of the World Wide Web

Libraries and Learning Services | Te Tumu Herenga

Contact email: a.petrovic@auckland.ac.nz