ABSTRACT
Retail organizations are performing log analysis, website optimization, and customer loyalty programs by using brand and sentiment analysis and market-basket analysis. Dynamic pricing, website real time customization, and product recommendations are the results of this analysis. The nance industry is using big data for fraud pattern detection and to perform analyses for corruption, bribery, risk modeling, and trade analytics. This enables them to improve their customer risk evaluation and fraud detection, as well as to design programs for real time upsell and cross-marketing offers. Energy is doing analyses of grid failure, soil analytics, predictive mechanical failure, chemical analysis, and smart meters to name a few. Manufacturing is performing supply-chain analysis, customer-churn analysis, and part replacement, as well as layout and design of manufacturing plants and factories. Telecommunication rms use big data information for customer proling, cell-tower analysis, optimizing customer experience, monitoring equipment status, and network analysis. This improves hardware maintenance, product recommendations, and location-based advertising. Health care uses electronic medical records (EMR) and RFID to perform hospital design, patient treatment, clinical decision support, clinical-trial analysis, and real time instrument, and patient monitoring and analysis. Government is using big data for areas such as threat identication, government program analysis, and person-of-interest discovery. It’s the power of the data that is disrupting business and the IT industry.
