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

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

Sep 15, 2022 389 likes •507 views

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,

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The Power of Data

Business Intelligence at Toronto Public Library

April 18, 2017

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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

BI Strategy and Initiatives

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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

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  • 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.

BI

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Visits (All Branches) : Q1 2017

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*Based on people counter data feed, open hours for all branches as of April 2017 data extract

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Sunday Visits: Q1 2017

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*Based on people counter data feed, open hours for all branches as of April 2017 data extract

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All Branches (90)

  • Age: 40-44, 10-14
  • Locality: 73% within 2 KM
  • Materials most circulated: DVDs

Q1 2017: Tuesday Night (6:00-8:30 PM) Demographic Profile of Customers

Active Users by Age Group

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Active Users by distance to branch

*Based on open hours for all branches as of April 2017 data extract

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All Branches (24)

  • Age: 40-44, 10-14
  • Locality: 69% within 2 KM
  • Materials most circulated: DVDs, Closely

followed by Non-Fiction

Q1 2017:Friday Night (6:00-8:30 PM) Demographic Profile of Customers

Active Users by Age Group Active Users by Gender Active Users by distance to branch

Friday 6-8:30PM

*Based on open hours for all branches as of April 2017 data extract

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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

Q1 2017: Friday Night (6:00-8:30 PM) Demographic Profile of Customers

TSNS 2020 Branch Active Users by Gender TSNS 2020 Branch Active Users by Age Group TSNS Branch Active Users by distance to branch

Friday 6-8:30PM

*Based on open hours for all branches as of April 2017 data extract

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DASHBOARD Possibilities!

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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

The Power of Data