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index A NFC (near field communication), A/B testing, 82–84 91–93 ACID (atomicity, consistency, isolation, RFID (radio-frequency durability) principles, 33 identification), 91–93 adjacent possible, 201–202 sensors, 90–91 Adner, Ron, The Wide Lens: A New Strategy for Innovation, 202 B The Age of the Platform (Simon), xv bad data, 162–163 Amazon Bayesian methods of analysis, 81–82 Best Buy price matching, 198 Beane, Billy, xv–xvi Big Data statistics, 98–99 Howe, Art, and, xvii–xviii Google and Amazon model, 127–128 sabermetrics and, xvi–xvii shipping fee error, 14 Best Buy, 198 analysis, 77–79 Bezos, Jeff, 19–20 A/B testing, 82–84 Bhambhri, Anjul, 17 data visualization, 84–86 BI (business intelligence), 68–70 heat maps, 86–87 Big Brother, 187 Tableau software, 85 Big Data time series analysis, 87–88 acceptance gains within Visually software, 85 organization, 171 predictive analytics, 100–102, 136–137 bad data and, 162–163 LDMU (Law of Diminishing capabilities, 79–80 Marginal Utility), 103 characteristics, 50–52 LLN (Law of Large Numbers), checklist, 177 102–103 community knowledge, 173 regression analysis, 80–82 as complement, 56–57 sentiment analysis, 97–98 completeness, 65–68 text analytics, 95–97 conferences and, 173 Anderson, Chris consumers, 63–64 Free: The Future of a Radical Price, 14 current presence, 50–51 “Tech Is Too Cheap to Meter,” 14 data model evolution, 172–173 Angry Birds, 62 definition, 49–50 Apache COPYRIGHTEDdynamism, MATERIAL 62 Cassandra, 124 evolution, 201–203 Hadoop (See Hadoop) experiments, 169–171 Apple, Big Data
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