Page 307 - Big Data Analytics for Connected Vehicles and Smart Cities

288 Big Data Analytics for Connected Vehicles and Smart Cities Index 289

Customer relationship management (CRM), as foundation for large-scale proactive
40 analytics, 183
Customer satisfaction and travel response use full-capability roadmap, 189–90
case, 169 functioning of, 178–82
introduction to, 174–77
Data model configuration, 179
archive, 35, 51, 52 organizing for success, 190–93
complexity, 40 pilot project approach methodology,
in data lakes, 15 189
discovery, 180 pilot subjects identification, 188–89
governance, 184 as platform for innovation, 184–85
to information, 32 preparation for, 188
ingestion, 180 safety, efficiency, and user experience
in motion, 35 and, 184
needs associated with analytics, 134 as stepping stone toward automation,
open, 99 183
orders of magnitude, 33 summary, 193
ownership, 62–63 support for smart city service delivery,
preparation, 180 185
raw, 13–15 support for smart city services, 181–82
real-time, 35 unused data value and, 184
at rest, 35 value of, 182–85
size growth, 33 Data repositories. See Data lakes
speed, 36–37 Data science revolution, 4
storage, 45–46 Decision support for bus acquisition
transmission times, 46–51 analytics, 217
value of, 15 concept, 198
See also Big data overview, 216–17
Data collection, 175–76 use of analytics, 220
Data lakes Dedicated short-range communications
analytics and, 133–34 (DSRC)
approach addressing of challenges, 191 defined, 59–60
approach methodology, 188 evolution of, 66
approach to building, 187–90 infrastructure implementation, 66
building, 173–93 speed and latency of, 63
challenges, 185–87 supported services, 64
combining of data elements, 184 Driver education, 61–62
cost reduction and, 183
creation elements, 175 Economy of scale, 176
data and analytics exchange, 181 Efficiency-related questions, 21–27
data discovery, 180 Electric fleet management use case, 166–67
data governance and, 184 Electronic payment data sources, 48–49
data ingestion, 180 Emergency management data sources, 49–50
data preparation, 180 Emerging Technologies Forum, 77
data sources, 178–80 Enterprise resource planning (ERP), 40
defined, 15, 177–78 Event-based triggering, 39
delivery of insight, 181 Extraction, transformation, and loading
elements of, 178–82 (ETL), 43
enterprise-wide data access, 182
Freeway speed variability analysis