Elektron tijoratda katta ma'lumotlar tahlili: tizimli ko'rib chiqish va kelajakdagi tadqiqotlar uchun kun tartibi

Klik-oqim ma'lumotlari	Internetdan, ijtimoiy media kontentidan, onlayn reklamalardan (tvitlar, bloglar, Facebook devoriga e'lonlar,
Every day, Google alone processes about 24 petabytes (or 24,000 terabytes) of data (Davenport, 2012). Netflix Inc. analyzes web data of over one billion reviews of movies that were liked, loved, hated, etc. to recommend movies that optimize customers’ tastes and inventory conditions

	etc.)	(Davenport and Harris, 2007b). Credit card companies use a ‘ready-to-market’ database of website and call center activities to make personalized offers in milliseconds and to optimize offers by tracking responses (Davenport, 2012). Merchandise buyers of a retail firm receive a red flag alert when competitors’ internet sites price products below their retail firm’s level (Biesdorf et al., 2013). Retailers use sentiment analysis to assess the real-time response to marketing campaigns and make adjustments as needed. The evolving field of social media analytics plays a key role as consumers are relying increasingly on peer sentiment and recommendations (Manyika et al., 2011). eBay Inc. conducts thousands of experiments with different aspects of its website to determine optimal layout and other features ranging from navigation to the size of its photos (Manyika et al., 2011).
Video data	Video data from retail and other settings	Less than 25% of business and IT professionals with active big data efforts reported that they have the required capabilities to analyze extremely unstructured data such as voice and video (Schroeck et al., 2012). Some retailers utilize sophisticated image-analysis software linked to their video- surveillance cameras to track in-store traffic patterns and consumer behavior (Manyika et al., 2011). A consumer goods manufacturer equipped its merchandisers with tablet apps that enable the use of pictures and data to track shelf-space allocation compared to that of competitors on a daily basis and also to detect retailers’ compliance with promotion agreements (Chandrasekaran et al., 2013). P&G implemented the use of design tools to create realistic virtual prototypes that lead to

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		time savings in design iterations. In addition, the virtual-reality techniques allowed the simulation of new products placed on shelves in order to test design effects internally and with consumers (Chandrasekaran et al., 2013).