real-time big data and optimizing the customer experience
DESCRIPTION
SQLstream's real-time streaming Big Data management platform is changing the way industry thinks about its data assets. This presentation, given at the Intelligent Transportation Systems and Solutions World Congress in Vienna, Austria, discusses the role that real-time, accurate and reliable predictive traffic analytics has to play in a positive commuter or traveler experience. The role of social media, participation and communities is also discussed, and in particular, how SQLstream can combine GPS and sensor data, with semantic streaming data derived from Twitter feeds.TRANSCRIPT
Copyright © 2012 – Proprietary and Confidential Information of SQLstream Inc.
ITS World Congress, Vienna 2012ITS World Congress, Vienna 2012
SIS44: Optimising ITS from a Customer Service Perspective
Ronnie Beggs, SQLstreamRonnie Beggs, SQLstream
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➔ Corporate»Founded 2003
»Experienced team of industry and IT professionals
»Headquarters in San Francisco, CA
➔ The Pioneer in Streaming Big Data for Industry»Proven software technology (>150 eng yrs, >1.2M lines of code)
»Key cloud streaming patents (4 granted, 4 pending)
»Market launch in January 2009
➔ Only streaming platform based on ISO/ANSI SQL
SQLstream Corporate FactsSQLstream Corporate Facts
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➔ “The information I need”oAccurate
oReliable
oTimely
oParticipation
➔ Ease of information access
➔ Intelligent alternatives
WHAT FACTORS INFLUENCE THE TRAVELER EXPERIENCEWHAT FACTORS INFLUENCE THE TRAVELER EXPERIENCE
I’m a commuter. How might I use the information?
oWhat’s the ‘best’ routeoShould I change my plans?oWhat’s the options?oCan I park?oDo I need to book in advance?oHow much will it cost?oWhere can I meet my friends?oHow are my friends traveling?
Copyright © 2012 Proprietary information of SQLstream Inc. All rights reserved
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THE COST OF POOR QUALITY OF EXPERIENCETHE COST OF POOR QUALITY OF EXPERIENCE
Losses by Industry, Genesys, Alacatel-Lucent, 2009
UK Social Network Access, GSMA/comScore 2010
FACTORS:FACTORS:➔Poor service➔Poor support➔Expectation misaligned
Copyright © 2012 Proprietary information of SQLstream Inc. All rights reserved
SOCIAL NETWORK
MOBILE INTERNET (AVG. MINUTES/USAGE DAY)
PC INTERNET (AVG. MINUTES/ USAGE DAY)
FACEBOOK 45.2 32.4
BEBO (AOL) 39.6 22
MYSPACE 8.2 7.5
TWITTER 19.6 7.2
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DRIVING A POSITIVE CONSUMER EXPERIENCEDRIVING A POSITIVE CONSUMER EXPERIENCEAnd the increasing importance of participation and social mediaAnd the increasing importance of participation and social media
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➔ Indirect Factors»Budget
»Regulation
»Targets
➔ Direct Traveler Factors»Traveler Information Systems
»Crowdsourcing & Social Media
WHO OWNS THE TRAVELER EXPERIENCE?WHO OWNS THE TRAVELER EXPERIENCE?
SHOULD IT BE THE SHOULD IT BE THE TRANSPORTATION AGENCY OR TRANSPORTATION AGENCY OR GOOGLE?GOOGLE?
HAS THE ARGUMENT BEEN LOST HAS THE ARGUMENT BEEN LOST ALREADY?ALREADY?
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REAL-TIME TRAVEL TIME & CONGESTION DETECTION REAL-TIME TRAVEL TIME & CONGESTION DETECTION
10 METER ROAD SEGMENTS
ROAD SEGMENT GIS DATABASE
ONE GPS EVENT PER VEHICLE PER
SECOND
HISTORICAL TREND DATA
TWITTER AND MESSAGING
API FEED
READERS
API FEED
READERS
PARSING, ENRICHMENT AND
FREQUENCY ANALYSIS
PARSING, ENRICHMENT AND
FREQUENCY ANALYSIS
OBJECTIVE: ACCURATE AND RELIABLE TRAVEL TIME INFORMATION with dynamic updating of alternative routes, by augmenting existing performance monitoring with perception of ‘worse than usual’ and reinforcement of incident detection.
SEMANTICMODELS
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ARTERIAL TRAVEL TIME METHODS COMPARISONARTERIAL TRAVEL TIME METHODS COMPARISON
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CASE STUDYCASE STUDY
REAL-TIME TRAFFIC REAL-TIME TRAFFIC CONGESTION PREDICTIONCONGESTION PREDICTION➔Based on commercial GPS Fleet data
REAL-TIME TRAFFIC REAL-TIME TRAFFIC CONGESTION PREDICTIONCONGESTION PREDICTION➔Based on commercial GPS Fleet data
REAL-TIME TRAFFIC REAL-TIME TRAFFIC ANALYTICSANALYTICS➔Process GPS data feeds in real-time
REAL-TIME TRAFFIC REAL-TIME TRAFFIC ANALYTICSANALYTICS➔Process GPS data feeds in real-time
GOOGLE BIGQUERY AS THE GOOGLE BIGQUERY AS THE DATA WAREHOUSEDATA WAREHOUSE➔Provides data quality indicators
GOOGLE BIGQUERY AS THE GOOGLE BIGQUERY AS THE DATA WAREHOUSEDATA WAREHOUSE➔Provides data quality indicators
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➔ Commercial Vehicles
»Dynamic road tolling
»Real-time driving log
»Safety, compliance and alerting
➔ Young Driver Programs
»Breaks on insurance for good drivers
»Journey report for each trip upon
arrival
➔ Vehicle Health Monitoring
»Health monitoring of key vehicle
systems
»Real-time “panic” alerts
»Reduce vehicle “walkaway” events
VEHICLE TELEMATICS & DRIVER MONITORINGVEHICLE TELEMATICS & DRIVER MONITORINGAnother view of the Traveler ExperienceAnother view of the Traveler Experience
Driving Analysis:……………………….………….
Copyright © 2012 Proprietary information of SQLstream Inc. All rights reserved
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THE IMPORTANCE OF REAL-TIMETHE IMPORTANCE OF REAL-TIME
Traditional Data Management Architectures Streaming Big Data Management for Real-time
High latencyStore and process – querying more quickly is not real-
time
Low latencyProcess data as they arrive a real-time stream or feed
Poor scalabilityUnable to manage high velocity, high volume sensor
data
Unlimited scalabilityHigh velocity, high volume with a distributed pipelined
architecture
Lack of integrationLimited and expensive integration
Continuous IntegrationLow cost, real-time, continuous integration between
data sources and systems
Strong historical analytics, on-demand and data mining capability
Continuous ETL into existing data warehouses and storage platforms
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➔ Lowest Total-Cost-of-Ownership (TCO)
»The only ISO/ANSI SQL real-time solution => immediate productivity
»Focus on application vs. low-level coding of stream processing
»Starts simply and scales easily.
➔ Unique and Innovative Platform: (highest point?)
»“The real-time, continuous analogue of MapReduce”
»Simplifies the massive complexity of multi-stream analytics
»Powerful real-time integration, analytics, alerts and continuous ETL
➔ Proven Success:
»Rapid customer time-to-value
»Minimizes risk and complexity
»Commitment to customer success
SUMMARY: PERCEPTION AND REALITYSUMMARY: PERCEPTION AND REALITY
THE TIP OF THE ICEBERGTHE TIP OF THE ICEBERG➔Google, social media and smartphone apps will define the way travelers interact with traffic information systems and the perception of a positive experience
THE TIP OF THE ICEBERGTHE TIP OF THE ICEBERG➔Google, social media and smartphone apps will define the way travelers interact with traffic information systems and the perception of a positive experience
THE GREATER MASSTHE GREATER MASS➔Transportation Agencies have responsibility for the reality, reducing congestion, improving travel times, and building foundations for a positive traveler experience
THE GREATER MASSTHE GREATER MASS➔Transportation Agencies have responsibility for the reality, reducing congestion, improving travel times, and building foundations for a positive traveler experience
THE COMPLETE EXPERIENCETHE COMPLETE EXPERIENCE➔Integrated, real-time solutions with the adoption of new technologyTHE COMPLETE EXPERIENCETHE COMPLETE EXPERIENCE➔Integrated, real-time solutions with the adoption of new technology
Copyright © 2012 Proprietary information of SQLstream Inc. All rights reserved