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pilot using depersonalised WiFi Data for analysis. The WiFi connectivity pilot cost £100,000, but the data was worth £322 million. It revealed that passengers take more than 18 different routes when travelling between King's Cross St
Pancras and Waterloo. Sager Weinstein published the report "Review
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for emergency repairs, Sager
Weinstein set up a transport interchange and increased bus service on nearby routes to help passengers whose journeys might be affected. She provided the transport analysis which kept Londoners moving during the
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514:"Women in big data: Why business intelligence and data strategy are the future of transport - Lauren Sager Weinstein, Chief Data Officer at Transport for London - Womanthology"
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collect a significant range of data; including ticketing, bus journeys and records from SCOOT traffic detectors. They have a transparent approach to privacy. The
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of the topic and provide significant coverage of it beyond a mere trivial mention. If notability cannot be shown, the article is likely to be
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sets help Sager
Weinstein understand patterns and trends, helping customers travel across the network. TFL have an academic partnership with
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in 2005. Sager
Weinstein is interested in how transport networks influence cities and how they function.
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where her husband was working as a screenwriter. She worked for the policy think-tank
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Lauren Sager
Weinstein, Transport for London at Big Data Analytics November 2013
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630:"Innovations in London's transport: Big Data for a better customer experience"
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879:"Inspirational women unveiled in "20 in Data & Tech" - DecisionMarketing"
708:"How Big Data And The Internet Of Things Improve Public Transport In London"
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in 2002 as a Senior
Business Planner. She worked on the introduction of the
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680:"What Does The Head of Analytics at TfL Do? | Plotr Careers Advice | Plotr"
273:, London's contactless payment card system. She has held various roles at
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Lauren Sager
Weinstein speaks to the London Transport Committee in 2017
756:"Delivering Better Transport with Big Data - Big Data Week London"
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Please help to demonstrate the notability of the topic by citing
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481:"Lauren Sager Weinstein, TFL - Red Smart Women Week 2017"
903:"20 in Data & Technology Archives - The Female Lead"
541:. Reville, Robert T. Santa Monica, Calif.: Rand. 2004.
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Sager
Weinstein worked as Field and Planning Deputy in
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539:Return to work in California workers' compensation
260:Return to Work in California Workers' Compensation
405:"Lauren Sager Weinstein | Metro & Light Rail"
732:"Lauren Sager Weinstein - Big Data Week London"
293:solution to overcrowding on public transport.
210:use big data to optimise transport in London.
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352:"Lauren Sager Weinstein - The Female Lead"
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325:conference in London. She was listed in
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318:of the TfL WiFi Pilot" in 2017.
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856:Whitehall Media (2013-12-06),
829:"Review of the TfL WiFi pilot"
234:in 2002. She met her husband,
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202:is the Chief Data Officer at
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968:21st-century American women
938:Princeton University alumni
883:www.decisionmarketing.co.uk
610:"The Innovation Enterprise"
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43:reliable secondary sources
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376:"Princeton Class of 1995"
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214:Early life and education
70:"Lauren Sager Weinstein"
653:"Privacy & cookies"
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226:in 1995. She earned a
569:: CS1 maint: others (
433:"WiFi data collection"
232:Harvard Kennedy School
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204:Transport for London
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520:. 2017-10-04
518:Womanthology
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333:References
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565:cite book
111:June 2023
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557:56464678
291:big data
283:big data
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543:ISBN
298:TFL.
155:Born
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