mta in the age of big data: transforming the wealth of mta data into accessible, meaningful, visual,...
TRANSCRIPT
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MTA IN THE AGE OF BIG DATA:
TRANSFORMING THE WEALTH OF MTA DATA INTO ACCESSIBLE, MEANINGFUL, VISUAL, INTERACTIVE INFORMATION
A Presentation to
The New York Metropolitan Transportation CouncilApril 24, 2013
by
Ellyn Shannon, Senior Transportation Planner, PCAC
Angela Bellisio, Research Assistant, PCAC
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Issue:
How to help Riders, Decision Makers, MTA Staff Understand:
• Where the MTA is doing well?• Where it needs to improve?• Where it needs to invest?• Where is it efficient?• Where is it inefficient?
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1,000 Pages every month
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Remarkable information trapped in static black and white charts
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Problem:
• Monthly and year-to-date performance data released each month.
• No performance in the perspective of time:
3 years, 5 years, 10 years…
• No ability to see long term trend lines.
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Solution: Data Visualization!
A Means to explain and interact with data in a more intuitive way.
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Interviews and Meetings Begin
Two terms that paralyzed discussions early on:
“Data Requests”
“Data Visualization”
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MTA Data Request Challenges• Hundreds of Data Bases
• Legacy systems
• Lack of systems integration and data standardization across agencies.
• Unstructured data is difficult to manage and present in a format that can be easily accessed and visualized.
• Cultural practices are deeply embedded at the MTA and may take time to change.
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Data Visualization Challenges
Understanding what the term
“Data Visualization”
means.
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Create a Data Visualization Demonstration Project
Questions for the Demonstration Project:
• Can 1,000 pages monthly be more efficient and effective?
• What would it look like to show MTA trend lines over time?
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5 Years of Transit Performance DataJanuary 2008 – February 2013
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Transform the Numbers on the Page into Accessible Information
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Intuitive Information
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Helping Stakeholders to Understand Trends More Efficiently
Internal Stakeholders: • Management • Staff• Contractors • Vendors• MTA Board
External Stakeholders: • Elected Officials• Transit Advocates• Riders• The Press
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Recommendations• Develop a strategic vision for data analytics and
visualization.
• Invest in new technologies.
• Invest in staff training and conference attendance to
ensure appropriate competencies, capacity, and culture change.
• Create three data visualization pilot projects to move data
visualization forward at the MTA.