Big Data Assignment Example | Topics and Well Written Essays - 750 words

Big Data - Assignment Examplees, coupled with consumer loyalty selective information, gave the retailers unique overviews on carrefour sales, client buying patterns and overall market trends previously were available to any player in the consumer incase goods to retail value chain. According to Liebowitz (2013), all these would have been fine except that in the late 1990s, the education of WWW, on top of the internet was making huge amounts of information readily available and these info sources literally changes the business models of many companies.Today, we are yet in another revolutionized experience of data driven businesses as new sources of data from avenues such as social media, mobile, sensor or machine generated data make believe the potential to rewire an organizations value creation process. Social media data provide insights into customer interests, passions, affiliations and associations and as well is being used for the advertising purposes due to the large audien ce it attracts. Such data can be used to optimize the customer engagement processes such as customer acquisition, activation, maturation, up-sell/cross-sell, retention through advocacy and development other data sources provide real time data feeds at the most granular level of detail that enable predictive maintenance, product performance recommendations, and network optimization. runny devices on the other hand enable reallocation-based insights and drive real time consumer engagement that allow brick-and-mortar retailers to deal directly with online retailers in providing an improved ,more engaging customer shopping experience, (Simon, & John Wiley & Sons, 2013).The massive volumes that amount up to terabytes and petabytes of data that include diversity and complexity of the data are straining the capabilities of existing technology lade can be attributed to the less evolution of information technology adoption in businesses. Traditional data warehouse and business intelligen ce architectures were not designed to handle