The Power of Data Business Intelligence at Toronto Public Library - PowerPoint PPT Presentation

The Power of Data Business Intelligence at Toronto Public Library April 18, 2017

BI Strategy and Initiatives BI Strategy = Better data capture, collect, storage, processing, and communications • Supports evidence-based decision making, effective resource allocation and best possible service • A culture change supported by technology  Engaged Deloitte through collaboration with TPL stakeholders  Develop 360 degree View of Customers and BI Roadmap  Established Year One Implementation 2

360º Degree View of the Customer Key Themes • From transaction based interactions to relationships • Intuitive, customer- focused online services • Enhanced data capture and analysis • Increased efficiency and capacity 3

BI • Aggregate – Bring data together from multiple disparate sources • Test and Learn – Quantify what is working for whom and when. View data and analytics as part of a platform for constant testing and learning in a real-world environment • Identify – Use analytics to predict and identify customer demographic, library growth, life of a library customer. • Intervene – Based on evidence of what works implement targeted policies, service aimed at specific branches and customers. • Engage – Data to be used to determine how to best engage staff, the public, the library board • Measure – A data driven system will help to identify gaps in library service. 4

Visits (All Branches) : Q1 2017 *Based on people counter data feed, open hours for all branches as of April 2017 data extract 5

Sunday Visits: Q1 2017 *Based on people counter data feed, open hours for all branches as of April 2017 data extract 6

Q1 2017: Tuesday Night (6:00-8:30 PM) Demographic Profile of Customers All Branches (90) • Age: 40-44, 10-14 • Locality: 73% within 2 KM • Materials most circulated: DVDs Active Users by distance to branch Active Users by Age Group 9 *Based on open hours for all branches as of April 2017 data extract

Q1 2017:Friday Night (6:00-8:30 PM) Demographic Profile of Customers All Branches (24) • Age: 40-44, 10-14 • Locality: 69% within 2 KM • Materials most circulated: DVDs, Closely followed by Non-Fiction Active Users by distance to branch Friday 6-8:30PM Active Users by Gender Active Users by Age Group 8 *Based on open hours for all branches as of April 2017 data extract

Q1 2017: Friday Night (6:00-8:30 PM) Demographic Profile of Customers TSNS 2020 Branches (8) • Age: 10-14 highest • Locality: 64% within 2 KM • Materials most circulated: DVDs, followed by Non- Fiction and Children’s Non -Fiction TSNS Branch Active Users by distance to branch Friday 6-8:30PM TSNS 2020 Branch Active Users TSNS 2020 Branch Active Users by Age Group by Gender 9 *Based on open hours for all branches as of April 2017 data extract

DASHBOARD Possibilities! 10

The Power of Data Next steps • Used this tool this past year to inform budget decisions and service standards • Building organizational capacity around data governance • Explore best tools and practices for future use • Exploring to understand the data that best demonstrates data and the achievement of outcomes 11